Championship · England

PortsmouthvQueens Park Rangers

Saturday 15 August at 15:00Fratton Parklineups not announced

Referee

Will Finnie

22 matches on record

Fouls per game

21.2

-6% vs league

League average

22.6

fouls per match, both teams

Value

No edges published on this fixture. An edge is published only when a bookmaker's price beats the model's fair price by that market's full bar — most fixtures never produce one. The value board explains every gate a candidate has to clear.

What these numbers are

Not tips and not prices. Each row is the model's expected count for one player in this match — how many fouls, tackles or shots it thinks he records — plus the full spread of outcomes around it. Nothing here has been compared to a bookmaker.

Step 1
His own record
Every completed match in the dataset, as a rate per 90 minutes. The n column is how many matches that rests on.
Step 2
Pulled toward his position
A thin record gets pulled hard toward other players in his position, in his league — a goalkeeper toward goalkeepers, not toward the outfielders around him. How hard is fitted per market, not chosen: tackles pull about four times harder than shots on target.
Step 3
This fixture's conditions
How much of the stat the opponent concedes, what the referee's matches look like, and home or away. This is where a projection stops being a season average.
Step 4
Scaled to expected minutes
A rate becomes a count only once you say how long he plays. 60 minutes carries two-thirds the exposure of 90, and the distribution is built at that exposure.

How to read each column

Model /90: The model's rate for this match with the minutes taken back out — steps 1 to 3 already applied. It moves with the opponent and the referee, so it is not his raw career rate; the builder shows career and model rates side by side.
Exp. mins: Minutes the model expects. Confirmed means the lineup is out; provisional means it is guessing from his start rate, and is the widest of the three.
Projected: The expected count in this match, at those minutes. This is the number a line is set against.
Over 1.5, etc.: Read straight off the distribution beside it, not off how often he has beaten that line before. It answers what the model thinks, not what has happened.
n: Matches behind his own rate. Under 30 it turns amber: the projection is mostly his position group speaking, and §6.3 will not publish an edge on it.
Distribution: The whole spread, not just the average. The dashed amber cut is the line; jade bars beat it. An expected 1.8 fouls made of 2 every week and an expected 1.8 made of a 0 and a 5 are different bets, and this is where you see which one you have.

Counts are modelled as negative binomial rather than Poisson, because fouls and tackles are overdispersed and a Poisson would systematically underprice the tails — which is exactly where over bets live. Every market on this page cleared its calibration gate before it was allowed to produce a projection: when the model says 60%, it lands within a point or so of 60% out of sample.

Fouls v20260811-1858 · Tackles v20260811-1858 · Shots v20260811-1858 · Shots on target v20260811-1905 · Fouls won v20260811-1858 · Cards v20260811-1905 · Saves v20260812-1340

Model projections

Fouls53 playersHighest: Richard Kone, 1.32 expectedshow

What drives it — Who referees the match. A strict official lifts every player on the pitch, which is the part most books price off a season average. See what has actually happened.

Richard Kone
FWD · Queens Park Rangers
provisional
Mins
77
Proj.
1.32
O 1.5
37%
Model /90
1.53
030%
133%
221%
310%
44%
51%
6+1%
Callum Lang
FWD · Portsmouth
provisional
Mins
76
Proj.
1.23
O 1.5
35%
Model /90
1.47
033%
132%
220%
39%
44%
51%
6+0%
Colby Bishop
FWD · Portsmouth
provisional
Mins
82
Proj.
1.14
O 1.5
31%
Model /90
1.26
034%
134%
219%
38%
43%
51%
6+0%
Rumarn Burrell
FWD · Queens Park Rangers
provisional
Mins
67
Proj.
1.10
O 1.5
30%
Model /90
1.49
038%
132%
218%
38%
43%
51%
6+0%
Gustavo Caballero
FWD · Portsmouth
provisional
Mins
64
Proj.
1.03
O 1.5
28%
Model /90
1.46
040%
132%
217%
37%
42%
51%
6+0%
Paul Smyth
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
1.01
O 1.5
27%
Model /90
1.55
040%
133%
217%
37%
42%
51%
6+0%
Marlon Pack
MID · Portsmouth
provisional
Mins
65
Proj.
1.00
O 1.5
27%
Model /90
1.39
044%
129%
216%
37%
43%
51%
6+0%
Jonathan Varane
MID · Queens Park Rangers
provisional
Mins
66
Proj.
0.99
O 1.5
26%
Model /90
1.34
042%
132%
217%
37%
42%
51%
6+0%
Josh Murphy
FWD · Portsmouth
provisional
Mins
79
Proj.
0.97
O 1.5
26%
Model /90
1.12
040%
134%
217%
36%
42%
50%
6+0%
Koki Saito
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
0.97
O 1.5
26%
Model /90
1.49
043%
132%
216%
36%
42%
51%
6+0%
Ebou Adams
MID · Portsmouth
provisional
Mins
77
Proj.
0.96
O 1.5
25%
Model /90
1.12
041%
134%
217%
36%
42%
50%
6+0%
Michael Frey
FWD · Queens Park Rangers
provisional
Mins
50
Proj.
0.95
O 1.5
25%
Model /90
1.71
045%
130%
215%
36%
42%
51%
6+0%
Harvey Vale
MID · Queens Park Rangers
provisional
Mins
70
Proj.
0.92
O 1.5
24%
Model /90
1.19
044%
132%
216%
36%
42%
50%
6+0%
Andre Dozzell
MID · Portsmouth
provisional
Mins
79
Proj.
0.91
O 1.5
24%
Model /90
1.04
043%
134%
216%
36%
42%
5+0%
Conor Chaplin
FWD · Portsmouth
provisional
Mins
62
Proj.
0.89
O 1.5
23%
Model /90
1.29
045%
132%
215%
36%
42%
50%
6+0%
Florian Bianchini
FWD · Portsmouth
provisional
Mins
51
Proj.
0.88
O 1.5
23%
Model /90
1.55
047%
130%
214%
36%
42%
51%
6+0%
Adrian Segečić
FWD · Portsmouth
provisional
Mins
60
Proj.
0.88
O 1.5
23%
Model /90
1.31
046%
131%
215%
36%
42%
50%
6+0%
Žan Celar
FWD · Queens Park Rangers
provisional
Mins
49
Proj.
0.84
O 1.5
21%
Model /90
1.55
048%
130%
214%
35%
42%
51%
6+0%
Amadou Salif Mbengue
DEF · Queens Park Rangers
provisional
Mins
77
Proj.
0.83
O 1.5
21%
Model /90
0.98
046%
133%
215%
35%
41%
5+0%
Jimmy Dunne
DEF · Queens Park Rangers
provisional
Mins
90
Proj.
0.81
O 1.5
20%
Model /90
0.82
045%
135%
214%
34%
41%
5+0%

Player	Team	Model /90	Exp. mins	Projected	Over 1.5	n	Distribution
Richard KoneFWD	Queens Park Rangers	1.53	77provisional	1.32	37%	43	030% 133% 221% 310% 44% 51% 6+1%
Callum LangFWD	Portsmouth	1.47	76provisional	1.23	35%	40	033% 132% 220% 39% 44% 51% 6+0%
Colby BishopFWD	Portsmouth	1.26	82provisional	1.14	31%	74	034% 134% 219% 38% 43% 51% 6+0%
Rumarn BurrellFWD	Queens Park Rangers	1.49	67provisional	1.10	30%	30	038% 132% 218% 38% 43% 51% 6+0%
Gustavo CaballeroFWD	Portsmouth	1.46	64provisional	1.03	28%	12	040% 132% 217% 37% 42% 51% 6+0%
Paul SmythFWD	Queens Park Rangers	1.55	59provisional	1.01	27%	79	040% 133% 217% 37% 42% 51% 6+0%
Marlon PackMID	Portsmouth	1.39	65provisional	1.00	27%	75	044% 129% 216% 37% 43% 51% 6+0%
Jonathan VaraneMID	Queens Park Rangers	1.34	66provisional	0.99	26%	75	042% 132% 217% 37% 42% 51% 6+0%
Josh MurphyFWD	Portsmouth	1.12	79provisional	0.97	26%	58	040% 134% 217% 36% 42% 50% 6+0%
Koki SaitoFWD	Queens Park Rangers	1.49	59provisional	0.97	26%	73	043% 132% 216% 36% 42% 51% 6+0%
Ebou AdamsMID	Portsmouth	1.12	77provisional	0.96	25%	16	041% 134% 217% 36% 42% 50% 6+0%
Michael FreyFWD	Queens Park Rangers	1.71	50provisional	0.95	25%	42	045% 130% 215% 36% 42% 51% 6+0%
Harvey ValeMID	Queens Park Rangers	1.19	70provisional	0.92	24%	31	044% 132% 216% 36% 42% 50% 6+0%
Andre DozzellMID	Portsmouth	1.04	79provisional	0.91	24%	76	043% 134% 216% 36% 42% 5+0%
Conor ChaplinFWD	Portsmouth	1.29	62provisional	0.89	23%	36	045% 132% 215% 36% 42% 50% 6+0%
Florian BianchiniFWD	Portsmouth	1.55	51provisional	0.88	23%	10	047% 130% 214% 36% 42% 51% 6+0%
Adrian SegečićFWD	Portsmouth	1.31	60provisional	0.88	23%	38	046% 131% 215% 36% 42% 50% 6+0%
Žan CelarFWD	Queens Park Rangers	1.55	49provisional	0.84	21%	21	048% 130% 214% 35% 42% 51% 6+0%
Amadou Salif MbengueDEF	Queens Park Rangers	0.98	77provisional	0.83	21%	41	046% 133% 215% 35% 41% 5+0%
Jimmy DunneDEF	Queens Park Rangers	0.82	90provisional	0.81	20%	84	045% 135% 214% 34% 41% 5+0%

20 of 53 players shown, ranked by projection.

Tackles53 playersHighest: Ebou Adams, 1.75 expectedshow

What drives it — Possession share. A tackle count depends far more on how much of the match is played at your own end than on a player’s own form. See what has actually happened.

Ebou Adams
MID · Portsmouth
provisional
Mins
77
Proj.
1.75
O 1.5
51%
Model /90
2.03
020%
128%
224%
315%
47%
53%
6+1%
Jonathan Varane
MID · Queens Park Rangers
provisional
Mins
66
Proj.
1.60
O 1.5
46%
Model /90
2.17
025%
129%
222%
314%
46%
53%
6+1%
Zak Swanson
DEF · Portsmouth
provisional
Mins
67
Proj.
1.55
O 1.5
45%
Model /90
2.08
027%
128%
222%
313%
46%
52%
6+1%
Luke Le Roux
MID · Portsmouth
provisional
Mins
47
Proj.
1.54
O 1.5
42%
Model /90
2.92
029%
129%
219%
312%
46%
53%
6+2%
Harvey Vale
MID · Queens Park Rangers
provisional
Mins
70
Proj.
1.48
O 1.5
43%
Model /90
1.91
028%
129%
222%
313%
45%
52%
6+1%
Jimmy Dunne
DEF · Queens Park Rangers
provisional
Mins
90
Proj.
1.46
O 1.5
43%
Model /90
1.46
024%
134%
225%
312%
44%
51%
6+0%
Marlon Pack
MID · Portsmouth
provisional
Mins
65
Proj.
1.45
O 1.5
41%
Model /90
2.00
032%
127%
220%
312%
46%
52%
6+1%
Andre Dozzell
MID · Portsmouth
provisional
Mins
79
Proj.
1.35
O 1.5
39%
Model /90
1.55
028%
133%
223%
311%
44%
51%
6+0%
Jordan Williams
DEF · Portsmouth
provisional
Mins
61
Proj.
1.29
O 1.5
36%
Model /90
1.91
032%
132%
220%
310%
44%
51%
6+1%
Ronnie Edwards
DEF · Queens Park Rangers
provisional
Mins
88
Proj.
1.28
O 1.5
37%
Model /90
1.31
028%
135%
222%
310%
43%
51%
6+0%
Amadou Salif Mbengue
DEF · Queens Park Rangers
provisional
Mins
77
Proj.
1.27
O 1.5
36%
Model /90
1.49
030%
133%
222%
310%
43%
51%
6+0%
Nicolas Martin Hautorp Madsen
MID · Queens Park Rangers
provisional
Mins
68
Proj.
1.26
O 1.5
36%
Model /90
1.67
031%
133%
221%
310%
44%
51%
6+0%
Ilias Chair
MID · Queens Park Rangers
provisional
Mins
62
Proj.
1.22
O 1.5
34%
Model /90
1.78
033%
133%
220%
39%
43%
51%
6+0%
Isaac Hayden
MID · Queens Park Rangers
provisional
Mins
51
Proj.
1.22
O 1.5
33%
Model /90
2.14
037%
130%
218%
39%
44%
52%
6+1%
Regan Poole
DEF · Portsmouth
provisional
Mins
85
Proj.
1.19
O 1.5
33%
Model /90
1.26
031%
135%
221%
39%
43%
51%
6+0%
John Swift
MID · Portsmouth
provisional
Mins
57
Proj.
1.19
O 1.5
34%
Model /90
1.89
036%
130%
219%
39%
44%
51%
6+0%
Terry Devlin
DEF · Portsmouth
provisional
Mins
57
Proj.
1.17
O 1.5
33%
Model /90
1.85
038%
129%
218%
39%
44%
51%
6+1%
Karamoko Kader Dembélé
MID · Queens Park Rangers
provisional
Mins
53
Proj.
1.12
O 1.5
31%
Model /90
1.89
036%
133%
219%
38%
43%
51%
6+0%
Connor Ogilvie
DEF · Portsmouth
provisional
Mins
86
Proj.
1.09
O 1.5
30%
Model /90
1.13
034%
136%
220%
37%
42%
5+1%
Liam Morrison
DEF · Queens Park Rangers
provisional
Mins
76
Proj.
1.08
O 1.5
30%
Model /90
1.29
037%
133%
219%
38%
42%
51%
6+0%

Player	Team	Model /90	Exp. mins	Projected	Over 1.5	n	Distribution
Ebou AdamsMID	Portsmouth	2.03	77provisional	1.75	51%	16	020% 128% 224% 315% 47% 53% 6+1%
Jonathan VaraneMID	Queens Park Rangers	2.17	66provisional	1.60	46%	75	025% 129% 222% 314% 46% 53% 6+1%
Zak SwansonDEF	Portsmouth	2.08	67provisional	1.55	45%	63	027% 128% 222% 313% 46% 52% 6+1%
Luke Le RouxMID	Portsmouth	2.92	47provisional	1.54	42%	14	029% 129% 219% 312% 46% 53% 6+2%
Harvey ValeMID	Queens Park Rangers	1.91	70provisional	1.48	43%	31	028% 129% 222% 313% 45% 52% 6+1%
Jimmy DunneDEF	Queens Park Rangers	1.46	90provisional	1.46	43%	84	024% 134% 225% 312% 44% 51% 6+0%
Marlon PackMID	Portsmouth	2.00	65provisional	1.45	41%	75	032% 127% 220% 312% 46% 52% 6+1%
Andre DozzellMID	Portsmouth	1.55	79provisional	1.35	39%	76	028% 133% 223% 311% 44% 51% 6+0%
Jordan WilliamsDEF	Portsmouth	1.91	61provisional	1.29	36%	50	032% 132% 220% 310% 44% 51% 6+1%
Ronnie EdwardsDEF	Queens Park Rangers	1.31	88provisional	1.28	37%	38	028% 135% 222% 310% 43% 51% 6+0%
Amadou Salif MbengueDEF	Queens Park Rangers	1.49	77provisional	1.27	36%	41	030% 133% 222% 310% 43% 51% 6+0%
Nicolas Martin Hautorp MadsenMID	Queens Park Rangers	1.67	68provisional	1.26	36%	69	031% 133% 221% 310% 44% 51% 6+0%
Ilias ChairMID	Queens Park Rangers	1.78	62provisional	1.22	34%	43	033% 133% 220% 39% 43% 51% 6+0%
Isaac HaydenMID	Queens Park Rangers	2.14	51provisional	1.22	33%	29	037% 130% 218% 39% 44% 52% 6+1%
Regan PooleDEF	Portsmouth	1.26	85provisional	1.19	33%	68	031% 135% 221% 39% 43% 51% 6+0%
John SwiftMID	Portsmouth	1.89	57provisional	1.19	34%	29	036% 130% 219% 39% 44% 51% 6+0%
Terry DevlinDEF	Portsmouth	1.85	57provisional	1.17	33%	72	038% 129% 218% 39% 44% 51% 6+1%
Karamoko Kader DembéléMID	Queens Park Rangers	1.89	53provisional	1.12	31%	51	036% 133% 219% 38% 43% 51% 6+0%
Connor OgilvieDEF	Portsmouth	1.13	86provisional	1.09	30%	77	034% 136% 220% 37% 42% 5+1%
Liam MorrisonDEF	Queens Park Rangers	1.29	76provisional	1.08	30%	31	037% 133% 219% 38% 42% 51% 6+0%

20 of 53 players shown, ranked by projection.

Shots53 playersHighest: Josh Murphy, 1.98 expectedshow

What drives it — The player’s own shot rate, shrunk toward others in his position, then adjusted for how many shots the opponent concedes. See what has actually happened.

Josh Murphy
FWD · Portsmouth
provisional
Mins
79
Proj.
1.98
O 1.5
55%
Model /90
2.27
019%
126%
223%
315%
49%
54%
6+4%
Callum Lang
FWD · Portsmouth
provisional
Mins
76
Proj.
1.94
O 1.5
53%
Model /90
2.31
021%
126%
222%
315%
49%
54%
6+4%
Colby Bishop
FWD · Portsmouth
provisional
Mins
82
Proj.
1.88
O 1.5
53%
Model /90
2.08
020%
127%
223%
315%
48%
54%
6+3%
Gustavo Caballero
FWD · Portsmouth
provisional
Mins
64
Proj.
1.62
O 1.5
45%
Model /90
2.30
027%
128%
220%
312%
47%
53%
6+2%
Richard Kone
FWD · Queens Park Rangers
provisional
Mins
77
Proj.
1.60
O 1.5
45%
Model /90
1.86
026%
130%
222%
313%
46%
53%
6+2%
Adrian Segečić
FWD · Portsmouth
provisional
Mins
60
Proj.
1.57
O 1.5
42%
Model /90
2.35
030%
128%
219%
311%
46%
53%
6+2%
Conor Chaplin
FWD · Portsmouth
provisional
Mins
62
Proj.
1.56
O 1.5
43%
Model /90
2.26
028%
129%
220%
312%
46%
53%
6+2%
Florian Bianchini
FWD · Portsmouth
provisional
Mins
51
Proj.
1.39
O 1.5
37%
Model /90
2.44
034%
128%
218%
310%
45%
52%
6+2%
Rumarn Burrell
FWD · Queens Park Rangers
provisional
Mins
67
Proj.
1.39
O 1.5
38%
Model /90
1.87
032%
130%
220%
311%
45%
52%
6+1%
Koki Saito
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
1.17
O 1.5
32%
Model /90
1.80
038%
130%
217%
39%
44%
51%
6+1%
Paul Smyth
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
1.17
O 1.5
32%
Model /90
1.80
037%
132%
218%
38%
43%
51%
6+1%
Ebou Adams
MID · Portsmouth
provisional
Mins
77
Proj.
1.11
O 1.5
30%
Model /90
1.29
037%
132%
218%
38%
43%
51%
6+0%
Žan Celar
FWD · Queens Park Rangers
provisional
Mins
49
Proj.
1.10
O 1.5
29%
Model /90
2.04
041%
130%
216%
38%
43%
51%
6+1%
John Swift
MID · Portsmouth
provisional
Mins
57
Proj.
1.09
O 1.5
30%
Model /90
1.74
041%
129%
217%
38%
43%
51%
6+1%
Rayan Kolli
FWD · Queens Park Rangers
provisional
Mins
43
Proj.
1.09
O 1.5
29%
Model /90
2.27
039%
132%
217%
37%
43%
51%
6+1%
Michael Frey
FWD · Queens Park Rangers
provisional
Mins
50
Proj.
1.09
O 1.5
29%
Model /90
1.97
042%
129%
216%
38%
43%
51%
6+1%
Mackenzie Kirk
FWD · Portsmouth
provisional
Mins
32
Proj.
1.01
O 1.5
24%
Model /90
2.82
050%
126%
211%
36%
43%
52%
6+2%
Jacob Brown
FWD · Portsmouth
provisional
Mins
32
Proj.
0.91
O 1.5
22%
Model /90
2.53
055%
123%
210%
36%
43%
52%
6+1%
Harvey Vale
MID · Queens Park Rangers
provisional
Mins
70
Proj.
0.91
O 1.5
24%
Model /90
1.18
045%
131%
215%
36%
42%
51%
6+0%
Andre Dozzell
MID · Portsmouth
provisional
Mins
79
Proj.
0.91
O 1.5
23%
Model /90
1.04
044%
133%
216%
36%
42%
50%
6+0%

Player	Team	Model /90	Exp. mins	Projected	Over 1.5	n	Distribution
Josh MurphyFWD	Portsmouth	2.27	79provisional	1.98	55%	58	019% 126% 223% 315% 49% 54% 6+4%
Callum LangFWD	Portsmouth	2.31	76provisional	1.94	53%	40	021% 126% 222% 315% 49% 54% 6+4%
Colby BishopFWD	Portsmouth	2.08	82provisional	1.88	53%	74	020% 127% 223% 315% 48% 54% 6+3%
Gustavo CaballeroFWD	Portsmouth	2.30	64provisional	1.62	45%	12	027% 128% 220% 312% 47% 53% 6+2%
Richard KoneFWD	Queens Park Rangers	1.86	77provisional	1.60	45%	43	026% 130% 222% 313% 46% 53% 6+2%
Adrian SegečićFWD	Portsmouth	2.35	60provisional	1.57	42%	38	030% 128% 219% 311% 46% 53% 6+2%
Conor ChaplinFWD	Portsmouth	2.26	62provisional	1.56	43%	36	028% 129% 220% 312% 46% 53% 6+2%
Florian BianchiniFWD	Portsmouth	2.44	51provisional	1.39	37%	10	034% 128% 218% 310% 45% 52% 6+2%
Rumarn BurrellFWD	Queens Park Rangers	1.87	67provisional	1.39	38%	30	032% 130% 220% 311% 45% 52% 6+1%
Koki SaitoFWD	Queens Park Rangers	1.80	59provisional	1.17	32%	73	038% 130% 217% 39% 44% 51% 6+1%
Paul SmythFWD	Queens Park Rangers	1.80	59provisional	1.17	32%	79	037% 132% 218% 38% 43% 51% 6+1%
Ebou AdamsMID	Portsmouth	1.29	77provisional	1.11	30%	16	037% 132% 218% 38% 43% 51% 6+0%
Žan CelarFWD	Queens Park Rangers	2.04	49provisional	1.10	29%	21	041% 130% 216% 38% 43% 51% 6+1%
John SwiftMID	Portsmouth	1.74	57provisional	1.09	30%	29	041% 129% 217% 38% 43% 51% 6+1%
Rayan KolliFWD	Queens Park Rangers	2.27	43provisional	1.09	29%	43	039% 132% 217% 37% 43% 51% 6+1%
Michael FreyFWD	Queens Park Rangers	1.97	50provisional	1.09	29%	42	042% 129% 216% 38% 43% 51% 6+1%
Mackenzie KirkFWD	Portsmouth	2.82	32provisional	1.01	24%	14	050% 126% 211% 36% 43% 52% 6+2%
Jacob BrownFWD	Portsmouth	2.53	32provisional	0.91	22%	15	055% 123% 210% 36% 43% 52% 6+1%
Harvey ValeMID	Queens Park Rangers	1.18	70provisional	0.91	24%	31	045% 131% 215% 36% 42% 51% 6+0%
Andre DozzellMID	Portsmouth	1.04	79provisional	0.91	23%	76	044% 133% 216% 36% 42% 50% 6+0%

20 of 53 players shown, ranked by projection.

Shots on target53 playersHighest: Callum Lang, 0.70 expectedshow

What drives it — Shot volume first, conversion second — literally: the projection is the shots model thinned by the player’s own on-target rate, so a high-volume low-accuracy shooter and a sniper price differently at the same shot count. See what has actually happened.

Callum Lang
FWD · Portsmouth
provisional
Mins
76
Proj.
0.70
O 0.5
48%
Model /90
0.83
052%
131%
212%
33%
41%
5+0%
Colby Bishop
FWD · Portsmouth
provisional
Mins
82
Proj.
0.66
O 0.5
46%
Model /90
0.73
054%
132%
211%
33%
41%
5+0%
Rumarn Burrell
FWD · Queens Park Rangers
provisional
Mins
67
Proj.
0.66
O 0.5
45%
Model /90
0.89
055%
130%
211%
33%
41%
5+0%
Josh Murphy
FWD · Portsmouth
provisional
Mins
79
Proj.
0.61
O 0.5
44%
Model /90
0.70
056%
131%
210%
33%
41%
5+0%
Richard Kone
FWD · Queens Park Rangers
provisional
Mins
77
Proj.
0.59
O 0.5
43%
Model /90
0.69
057%
130%
210%
32%
40%
5+0%
Gustavo Caballero
FWD · Portsmouth
provisional
Mins
64
Proj.
0.55
O 0.5
40%
Model /90
0.78
060%
128%
29%
32%
40%
5+0%
Adrian Segečić
FWD · Portsmouth
provisional
Mins
60
Proj.
0.52
O 0.5
38%
Model /90
0.78
062%
127%
28%
32%
40%
5+0%
Florian Bianchini
FWD · Portsmouth
provisional
Mins
51
Proj.
0.52
O 0.5
37%
Model /90
0.91
063%
126%
28%
32%
40%
5+0%
Paul Smyth
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
0.45
O 0.5
35%
Model /90
0.69
065%
126%
27%
31%
4+0%
Conor Chaplin
FWD · Portsmouth
provisional
Mins
62
Proj.
0.43
O 0.5
33%
Model /90
0.62
067%
125%
26%
31%
4+0%
Mackenzie Kirk
FWD · Portsmouth
provisional
Mins
32
Proj.
0.39
O 0.5
28%
Model /90
1.08
072%
120%
26%
32%
40%
5+0%
Michael Frey
FWD · Queens Park Rangers
provisional
Mins
50
Proj.
0.38
O 0.5
29%
Model /90
0.69
071%
123%
25%
31%
4+0%
Koki Saito
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
0.38
O 0.5
30%
Model /90
0.58
070%
123%
25%
31%
4+0%
Rayan Kolli
FWD · Queens Park Rangers
provisional
Mins
43
Proj.
0.38
O 0.5
30%
Model /90
0.78
070%
123%
25%
31%
4+0%
Žan Celar
FWD · Queens Park Rangers
provisional
Mins
49
Proj.
0.37
O 0.5
29%
Model /90
0.69
071%
123%
25%
31%
4+0%
John Swift
MID · Portsmouth
provisional
Mins
57
Proj.
0.37
O 0.5
29%
Model /90
0.59
071%
123%
25%
31%
4+0%
Jacob Brown
FWD · Portsmouth
provisional
Mins
32
Proj.
0.36
O 0.5
26%
Model /90
1.01
074%
118%
25%
32%
40%
5+0%
Ilias Chair
MID · Queens Park Rangers
provisional
Mins
62
Proj.
0.32
O 0.5
26%
Model /90
0.47
074%
121%
24%
3+1%
Ebou Adams
MID · Portsmouth
provisional
Mins
77
Proj.
0.31
O 0.5
26%
Model /90
0.36
074%
122%
24%
3+1%
Harvey Blair
FWD · Portsmouth
provisional
Mins
29
Proj.
0.29
O 0.5
24%
Model /90
0.91
076%
120%
24%
31%
4+0%

Player	Team	Model /90	Exp. mins	Projected	Over 0.5	n	Distribution
Callum LangFWD	Portsmouth	0.83	76provisional	0.70	48%	40	052% 131% 212% 33% 41% 5+0%
Colby BishopFWD	Portsmouth	0.73	82provisional	0.66	46%	74	054% 132% 211% 33% 41% 5+0%
Rumarn BurrellFWD	Queens Park Rangers	0.89	67provisional	0.66	45%	30	055% 130% 211% 33% 41% 5+0%
Josh MurphyFWD	Portsmouth	0.70	79provisional	0.61	44%	58	056% 131% 210% 33% 41% 5+0%
Richard KoneFWD	Queens Park Rangers	0.69	77provisional	0.59	43%	43	057% 130% 210% 32% 40% 5+0%
Gustavo CaballeroFWD	Portsmouth	0.78	64provisional	0.55	40%	12	060% 128% 29% 32% 40% 5+0%
Adrian SegečićFWD	Portsmouth	0.78	60provisional	0.52	38%	38	062% 127% 28% 32% 40% 5+0%
Florian BianchiniFWD	Portsmouth	0.91	51provisional	0.52	37%	10	063% 126% 28% 32% 40% 5+0%
Paul SmythFWD	Queens Park Rangers	0.69	59provisional	0.45	35%	79	065% 126% 27% 31% 4+0%
Conor ChaplinFWD	Portsmouth	0.62	62provisional	0.43	33%	36	067% 125% 26% 31% 4+0%
Mackenzie KirkFWD	Portsmouth	1.08	32provisional	0.39	28%	14	072% 120% 26% 32% 40% 5+0%
Michael FreyFWD	Queens Park Rangers	0.69	50provisional	0.38	29%	42	071% 123% 25% 31% 4+0%
Koki SaitoFWD	Queens Park Rangers	0.58	59provisional	0.38	30%	73	070% 123% 25% 31% 4+0%
Rayan KolliFWD	Queens Park Rangers	0.78	43provisional	0.38	30%	43	070% 123% 25% 31% 4+0%
Žan CelarFWD	Queens Park Rangers	0.69	49provisional	0.37	29%	21	071% 123% 25% 31% 4+0%
John SwiftMID	Portsmouth	0.59	57provisional	0.37	29%	29	071% 123% 25% 31% 4+0%
Jacob BrownFWD	Portsmouth	1.01	32provisional	0.36	26%	15	074% 118% 25% 32% 40% 5+0%
Ilias ChairMID	Queens Park Rangers	0.47	62provisional	0.32	26%	43	074% 121% 24% 3+1%
Ebou AdamsMID	Portsmouth	0.36	77provisional	0.31	26%	16	074% 122% 24% 3+1%
Harvey BlairFWD	Portsmouth	0.91	29provisional	0.29	24%	27	076% 120% 24% 31% 4+0%

20 of 53 players shown, ranked by projection.

Fouls won53 playersHighest: Josh Murphy, 1.34 expectedshow

What drives it — How much a player runs at defenders. Dribble volume drives this far more than the referee does. See what has actually happened.

Josh Murphy
FWD · Portsmouth
provisional
Mins
79
Proj.
1.34
O 1.5
37%
Model /90
1.54
031%
132%
220%
310%
44%
52%
6+1%
Callum Lang
FWD · Portsmouth
provisional
Mins
76
Proj.
1.29
O 1.5
36%
Model /90
1.54
033%
131%
220%
310%
44%
52%
6+1%
Ebou Adams
MID · Portsmouth
provisional
Mins
77
Proj.
1.18
O 1.5
33%
Model /90
1.38
035%
132%
219%
39%
43%
51%
6+1%
Paul Smyth
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
1.15
O 1.5
31%
Model /90
1.76
038%
132%
218%
38%
43%
51%
6+1%
Koki Saito
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
1.14
O 1.5
31%
Model /90
1.76
039%
130%
217%
38%
43%
51%
6+1%
Colby Bishop
FWD · Portsmouth
provisional
Mins
82
Proj.
1.12
O 1.5
31%
Model /90
1.24
036%
133%
218%
38%
43%
51%
6+0%
Gustavo Caballero
FWD · Portsmouth
provisional
Mins
64
Proj.
1.03
O 1.5
28%
Model /90
1.46
041%
132%
217%
37%
43%
51%
6+0%
Richard Kone
FWD · Queens Park Rangers
provisional
Mins
77
Proj.
1.01
O 1.5
27%
Model /90
1.17
040%
133%
217%
37%
42%
51%
6+0%
Adrian Segečić
FWD · Portsmouth
provisional
Mins
60
Proj.
0.97
O 1.5
25%
Model /90
1.45
044%
131%
215%
37%
42%
51%
6+0%
Karamoko Kader Dembélé
MID · Queens Park Rangers
provisional
Mins
53
Proj.
0.95
O 1.5
25%
Model /90
1.61
044%
132%
215%
36%
42%
51%
6+0%
Jonathan Varane
MID · Queens Park Rangers
provisional
Mins
66
Proj.
0.94
O 1.5
25%
Model /90
1.28
044%
131%
215%
36%
42%
51%
6+0%
Conor Chaplin
FWD · Portsmouth
provisional
Mins
62
Proj.
0.92
O 1.5
24%
Model /90
1.34
045%
131%
215%
36%
42%
51%
6+0%
Connor Ogilvie
DEF · Portsmouth
provisional
Mins
86
Proj.
0.92
O 1.5
24%
Model /90
0.96
042%
134%
216%
36%
42%
50%
6+0%
Rumarn Burrell
FWD · Queens Park Rangers
provisional
Mins
67
Proj.
0.91
O 1.5
23%
Model /90
1.22
045%
132%
215%
36%
42%
51%
6+0%
Marlon Pack
MID · Portsmouth
provisional
Mins
65
Proj.
0.89
O 1.5
23%
Model /90
1.23
048%
128%
214%
36%
42%
51%
6+0%
Florian Bianchini
FWD · Portsmouth
provisional
Mins
51
Proj.
0.88
O 1.5
23%
Model /90
1.55
048%
130%
214%
36%
42%
51%
6+0%
Harvey Vale
MID · Queens Park Rangers
provisional
Mins
70
Proj.
0.87
O 1.5
22%
Model /90
1.12
047%
131%
215%
35%
42%
50%
6+0%
Rayan Kolli
FWD · Queens Park Rangers
provisional
Mins
43
Proj.
0.85
O 1.5
21%
Model /90
1.76
048%
131%
214%
35%
42%
51%
6+0%
Andre Dozzell
MID · Portsmouth
provisional
Mins
79
Proj.
0.80
O 1.5
20%
Model /90
0.92
048%
132%
214%
34%
41%
5+0%
Paul Nardi
· Queens Park Rangers
provisional
Mins
90
Proj.
0.74
O 1.5
17%
Model /90
0.74
049%
133%
213%
34%
41%
5+0%

Player	Team	Model /90	Exp. mins	Projected	Over 1.5	n	Distribution
Josh MurphyFWD	Portsmouth	1.54	79provisional	1.34	37%	58	031% 132% 220% 310% 44% 52% 6+1%
Callum LangFWD	Portsmouth	1.54	76provisional	1.29	36%	40	033% 131% 220% 310% 44% 52% 6+1%
Ebou AdamsMID	Portsmouth	1.38	77provisional	1.18	33%	16	035% 132% 219% 39% 43% 51% 6+1%
Paul SmythFWD	Queens Park Rangers	1.76	59provisional	1.15	31%	79	038% 132% 218% 38% 43% 51% 6+1%
Koki SaitoFWD	Queens Park Rangers	1.76	59provisional	1.14	31%	73	039% 130% 217% 38% 43% 51% 6+1%
Colby BishopFWD	Portsmouth	1.24	82provisional	1.12	31%	74	036% 133% 218% 38% 43% 51% 6+0%
Gustavo CaballeroFWD	Portsmouth	1.46	64provisional	1.03	28%	12	041% 132% 217% 37% 43% 51% 6+0%
Richard KoneFWD	Queens Park Rangers	1.17	77provisional	1.01	27%	43	040% 133% 217% 37% 42% 51% 6+0%
Adrian SegečićFWD	Portsmouth	1.45	60provisional	0.97	25%	38	044% 131% 215% 37% 42% 51% 6+0%
Karamoko Kader DembéléMID	Queens Park Rangers	1.61	53provisional	0.95	25%	51	044% 132% 215% 36% 42% 51% 6+0%
Jonathan VaraneMID	Queens Park Rangers	1.28	66provisional	0.94	25%	75	044% 131% 215% 36% 42% 51% 6+0%
Conor ChaplinFWD	Portsmouth	1.34	62provisional	0.92	24%	36	045% 131% 215% 36% 42% 51% 6+0%
Connor OgilvieDEF	Portsmouth	0.96	86provisional	0.92	24%	77	042% 134% 216% 36% 42% 50% 6+0%
Rumarn BurrellFWD	Queens Park Rangers	1.22	67provisional	0.91	23%	30	045% 132% 215% 36% 42% 51% 6+0%
Marlon PackMID	Portsmouth	1.23	65provisional	0.89	23%	75	048% 128% 214% 36% 42% 51% 6+0%
Florian BianchiniFWD	Portsmouth	1.55	51provisional	0.88	23%	10	048% 130% 214% 36% 42% 51% 6+0%
Harvey ValeMID	Queens Park Rangers	1.12	70provisional	0.87	22%	31	047% 131% 215% 35% 42% 50% 6+0%
Rayan KolliFWD	Queens Park Rangers	1.76	43provisional	0.85	21%	43	048% 131% 214% 35% 42% 51% 6+0%
Andre DozzellMID	Portsmouth	0.92	79provisional	0.80	20%	76	048% 132% 214% 34% 41% 5+0%
Paul Nardi	Queens Park Rangers	0.74	90provisional	0.74	17%	62	049% 133% 213% 34% 41% 5+0%

20 of 53 players shown, ranked by projection.

Cards53 playersHighest: Marlon Pack, 0.18 expectedshow

Known defect — Prices ANY card — yellow or straight red — matching how books settle "to be shown a card" (D-048). The trends column alongside counts yellows only.

What drives it — Fouls first, then how readily the referee reaches for a card. Two officials averaging four cards a match can do it for opposite reasons. See what has actually happened.

Marlon Pack
MID · Portsmouth
provisional
Mins
65
Proj.
0.18
O 0.5
16%
Model /90
0.25
084%
114%
22%
3+0%
Andre Dozzell
MID · Portsmouth
provisional
Mins
79
Proj.
0.15
O 0.5
14%
Model /90
0.17
086%
113%
2+1%
Amadou Salif Mbengue
DEF · Queens Park Rangers
provisional
Mins
77
Proj.
0.15
O 0.5
14%
Model /90
0.18
086%
113%
2+1%
Jonathan Varane
MID · Queens Park Rangers
provisional
Mins
66
Proj.
0.14
O 0.5
13%
Model /90
0.19
087%
112%
2+1%
Callum Lang
FWD · Portsmouth
provisional
Mins
76
Proj.
0.14
O 0.5
13%
Model /90
0.16
087%
112%
2+1%
Ebou Adams
MID · Portsmouth
provisional
Mins
77
Proj.
0.13
O 0.5
12%
Model /90
0.16
088%
112%
2+1%
Harvey Vale
MID · Queens Park Rangers
provisional
Mins
70
Proj.
0.13
O 0.5
12%
Model /90
0.17
088%
111%
2+1%
Jimmy Dunne
DEF · Queens Park Rangers
provisional
Mins
90
Proj.
0.13
O 0.5
12%
Model /90
0.13
088%
112%
2+1%
Terry Devlin
DEF · Portsmouth
provisional
Mins
57
Proj.
0.13
O 0.5
12%
Model /90
0.21
088%
111%
2+1%
Ronnie Edwards
DEF · Queens Park Rangers
provisional
Mins
88
Proj.
0.13
O 0.5
12%
Model /90
0.13
088%
111%
2+1%
John Swift
MID · Portsmouth
provisional
Mins
57
Proj.
0.13
O 0.5
12%
Model /90
0.20
088%
111%
2+1%
Isaac Hayden
MID · Queens Park Rangers
provisional
Mins
51
Proj.
0.13
O 0.5
12%
Model /90
0.22
088%
111%
2+1%
Liam Morrison
DEF · Queens Park Rangers
provisional
Mins
76
Proj.
0.13
O 0.5
12%
Model /90
0.15
088%
111%
2+1%
Kieran Morgan
MID · Queens Park Rangers
provisional
Mins
51
Proj.
0.12
O 0.5
11%
Model /90
0.22
089%
110%
2+1%
Regan Poole
DEF · Portsmouth
provisional
Mins
85
Proj.
0.12
O 0.5
11%
Model /90
0.13
089%
111%
2+1%
Richard Kone
FWD · Queens Park Rangers
provisional
Mins
77
Proj.
0.12
O 0.5
11%
Model /90
0.14
089%
111%
2+1%
Paul Smyth
FWD · Queens Park Rangers
provisional
Mins
59
Proj.
0.12
O 0.5
11%
Model /90
0.19
089%
110%
2+1%
Paul Nardi
· Queens Park Rangers
provisional
Mins
90
Proj.
0.12
O 0.5
11%
Model /90
0.12
089%
110%
2+1%
Zak Swanson
DEF · Portsmouth
provisional
Mins
67
Proj.
0.11
O 0.5
11%
Model /90
0.15
089%
110%
2+1%
Jake Clarke-Salter
DEF · Queens Park Rangers
provisional
Mins
60
Proj.
0.11
O 0.5
10%
Model /90
0.17
090%
110%
2+1%

Player	Team	Model /90	Exp. mins	Projected	Over 0.5	n	Distribution
Marlon PackMID	Portsmouth	0.25	65provisional	0.18	16%	75	084% 114% 22% 3+0%
Andre DozzellMID	Portsmouth	0.17	79provisional	0.15	14%	76	086% 113% 2+1%
Amadou Salif MbengueDEF	Queens Park Rangers	0.18	77provisional	0.15	14%	41	086% 113% 2+1%
Jonathan VaraneMID	Queens Park Rangers	0.19	66provisional	0.14	13%	75	087% 112% 2+1%
Callum LangFWD	Portsmouth	0.16	76provisional	0.14	13%	40	087% 112% 2+1%
Ebou AdamsMID	Portsmouth	0.16	77provisional	0.13	12%	16	088% 112% 2+1%
Harvey ValeMID	Queens Park Rangers	0.17	70provisional	0.13	12%	31	088% 111% 2+1%
Jimmy DunneDEF	Queens Park Rangers	0.13	90provisional	0.13	12%	84	088% 112% 2+1%
Terry DevlinDEF	Portsmouth	0.21	57provisional	0.13	12%	72	088% 111% 2+1%
Ronnie EdwardsDEF	Queens Park Rangers	0.13	88provisional	0.13	12%	38	088% 111% 2+1%
John SwiftMID	Portsmouth	0.20	57provisional	0.13	12%	29	088% 111% 2+1%
Isaac HaydenMID	Queens Park Rangers	0.22	51provisional	0.13	12%	29	088% 111% 2+1%
Liam MorrisonDEF	Queens Park Rangers	0.15	76provisional	0.13	12%	31	088% 111% 2+1%
Kieran MorganMID	Queens Park Rangers	0.22	51provisional	0.12	11%	59	089% 110% 2+1%
Regan PooleDEF	Portsmouth	0.13	85provisional	0.12	11%	68	089% 111% 2+1%
Richard KoneFWD	Queens Park Rangers	0.14	77provisional	0.12	11%	43	089% 111% 2+1%
Paul SmythFWD	Queens Park Rangers	0.19	59provisional	0.12	11%	79	089% 110% 2+1%
Paul Nardi	Queens Park Rangers	0.12	90provisional	0.12	11%	62	089% 110% 2+1%
Zak SwansonDEF	Portsmouth	0.15	67provisional	0.11	11%	63	089% 110% 2+1%
Jake Clarke-SalterDEF	Queens Park Rangers	0.17	60provisional	0.11	10%	25	090% 110% 2+1%

20 of 53 players shown, ranked by projection.

Saves53 playersHighest: Joe Walsh, 3.01 expectedshow

What drives it — Opponent shot volume. A keeper’s own record carries so little that this market shrinks harder than any other on the board. See what has actually happened.

Joe Walsh
GK · Queens Park Rangers
provisional
Mins
90
Proj.
3.01
O 2.5
55%
Model /90
3.01
07%
116%
221%
320%
415%
510%
6+11%
Nicolas Schmid
GK · Portsmouth
provisional
Mins
88
Proj.
2.39
O 2.5
42%
Model /90
2.44
011%
122%
224%
319%
412%
56%
6+5%
Josef Bursik
GK · Portsmouth
provisional
Mins
81
Proj.
2.26
O 2.5
39%
Model /90
2.49
013%
124%
225%
318%
411%
55%
6+4%
Paul Nardi
· Queens Park Rangers
provisional
Mins
90
Proj.
1.29
O 2.5
15%
Model /90
1.30
029%
134%
222%
310%
44%
51%
6+0%
Josh Knight
DEF · Portsmouth
provisional
Mins
69
Proj.
0.01
O 2.5
—
Model /90
0.01
099%
1+1%
Nicolas Martin Hautorp Madsen
MID · Queens Park Rangers
provisional
Mins
68
Proj.
0.00
O 2.5
—
Model /90
0.01
0100%
1+0%
Ronnie Edwards
DEF · Queens Park Rangers
provisional
Mins
88
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Jimmy Dunne
DEF · Queens Park Rangers
provisional
Mins
90
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Richard Kone
FWD · Queens Park Rangers
provisional
Mins
77
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Steve Cook
DEF · Queens Park Rangers
provisional
Mins
78
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Amadou Salif Mbengue
DEF · Queens Park Rangers
provisional
Mins
77
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Liam Morrison
DEF · Queens Park Rangers
provisional
Mins
76
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Harvey Vale
MID · Queens Park Rangers
provisional
Mins
70
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Jonathan Varane
MID · Queens Park Rangers
provisional
Mins
66
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Rumarn Burrell
FWD · Queens Park Rangers
provisional
Mins
67
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Jake Clarke-Salter
DEF · Queens Park Rangers
provisional
Mins
60
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Ilias Chair
MID · Queens Park Rangers
provisional
Mins
62
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Regan Poole
DEF · Portsmouth
provisional
Mins
85
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Connor Ogilvie
DEF · Portsmouth
provisional
Mins
86
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%
Colby Bishop
FWD · Portsmouth
provisional
Mins
82
Proj.
0.00
O 2.5
—
Model /90
0.00
0100%
1+0%

Player	Team	Model /90	Exp. mins	Projected	Over 2.5	n	Distribution
Joe WalshGK	Queens Park Rangers	3.01	90provisional	3.01	55%	24	07% 116% 221% 320% 415% 510% 6+11%
Nicolas SchmidGK	Portsmouth	2.44	88provisional	2.39	42%	69	011% 122% 224% 319% 412% 56% 6+5%
Josef BursikGK	Portsmouth	2.49	81provisional	2.26	39%	10	013% 124% 225% 318% 411% 55% 6+4%
Paul Nardi	Queens Park Rangers	1.30	90provisional	1.29	15%	62	029% 134% 222% 310% 44% 51% 6+0%
Josh KnightDEF	Portsmouth	0.01	69provisional	0.01	—	14	099% 1+1%
Nicolas Martin Hautorp MadsenMID	Queens Park Rangers	0.01	68provisional	0.00	—	69	0100% 1+0%
Ronnie EdwardsDEF	Queens Park Rangers	0.00	88provisional	0.00	—	38	0100% 1+0%
Jimmy DunneDEF	Queens Park Rangers	0.00	90provisional	0.00	—	84	0100% 1+0%
Richard KoneFWD	Queens Park Rangers	0.00	77provisional	0.00	—	43	0100% 1+0%
Steve CookDEF	Queens Park Rangers	0.00	78provisional	0.00	—	61	0100% 1+0%
Amadou Salif MbengueDEF	Queens Park Rangers	0.00	77provisional	0.00	—	41	0100% 1+0%
Liam MorrisonDEF	Queens Park Rangers	0.00	76provisional	0.00	—	31	0100% 1+0%
Harvey ValeMID	Queens Park Rangers	0.00	70provisional	0.00	—	31	0100% 1+0%
Jonathan VaraneMID	Queens Park Rangers	0.00	66provisional	0.00	—	75	0100% 1+0%
Rumarn BurrellFWD	Queens Park Rangers	0.00	67provisional	0.00	—	30	0100% 1+0%
Jake Clarke-SalterDEF	Queens Park Rangers	0.00	60provisional	0.00	—	25	0100% 1+0%
Ilias ChairMID	Queens Park Rangers	0.00	62provisional	0.00	—	43	0100% 1+0%
Regan PooleDEF	Portsmouth	0.00	85provisional	0.00	—	68	0100% 1+0%
Connor OgilvieDEF	Portsmouth	0.00	86provisional	0.00	—	77	0100% 1+0%
Colby BishopFWD	Portsmouth	0.00	82provisional	0.00	—	74	0100% 1+0%

20 of 53 players shown, ranked by projection.