PER90

Championship · England

WrexhamvBirmingham City

Racecourse Groundlineups not announced

Referee

Not appointed

0 matches on record

Fouls per game

League average

23.2

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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 v20260815-1947 · Tackles v20260815-1947 · Shots v20260815-1947 · Fouls won v20260815-1947 · Cards v20260815-1947 · Saves v20260815-1947

Model projections

Fouls43 playersHighest: Jay Stansfield, 1.36 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Jay StansfieldFWDBirmingham City1.6077provisional1.3639%42
026%
134%
223%
311%
44%
51%
6+0%
August PriskeFWDBirmingham City1.7765provisional1.2736%12
031%
133%
221%
310%
44%
51%
6+0%
Tomoki IwataMIDBirmingham City1.2675provisional1.0528%45
036%
135%
219%
37%
42%
51%
6+0%
Jhon SolísMIDBirmingham City1.3570provisional1.0528%15
036%
135%
219%
37%
42%
50%
6+0%
George DobsonMIDWrexham1.1278provisional0.9725%34
039%
135%
217%
36%
42%
5+0%
James McCleanMIDWrexham1.2868provisional0.9726%10
041%
133%
217%
36%
42%
50%
6+0%
Sam SmithFWDWrexham1.4755provisional0.9024%18
045%
131%
215%
36%
42%
50%
6+0%
Phil NeumannDEFBirmingham City0.9188provisional0.8922%32
041%
136%
216%
35%
41%
5+0%
Oliver RathboneMIDWrexham1.4456provisional0.8923%14
044%
134%
216%
35%
41%
5+0%
Seung-ho PaikMIDBirmingham City1.1171provisional0.8722%39
043%
135%
215%
35%
41%
5+0%

10 of 43 players shown, ranked by projection. Show all 43 →

Tackles43 playersHighest: George Dobson, 1.44 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
George DobsonMIDWrexham1.6578provisional1.4440%34
028%
131%
221%
311%
45%
52%
6+1%
Kai WagnerDEFBirmingham City1.3387provisional1.2936%16
030%
134%
221%
310%
44%
51%
6+1%
George ThomasonMIDWrexham1.2480provisional1.1030%30
037%
133%
218%
38%
43%
51%
6+0%
Matty JamesMIDWrexham1.4169provisional1.0829%24
039%
132%
217%
38%
43%
51%
6+0%
James McCleanMIDWrexham1.3668provisional1.0228%10
042%
130%
216%
37%
43%
51%
6+0%
Oliver RathboneMIDWrexham1.5456provisional0.9525%14
044%
131%
216%
36%
42%
51%
6+0%
Max CleworthDEFWrexham1.1371provisional0.8924%40
048%
128%
215%
36%
42%
51%
6+0%
Seung-ho PaikMIDBirmingham City1.0871provisional0.8521%39
046%
133%
214%
35%
41%
50%
6+0%
Tomoki IwataMIDBirmingham City0.9975provisional0.8321%45
047%
133%
214%
35%
41%
5+0%
Jhon SolísMIDBirmingham City1.0570provisional0.8220%15
047%
133%
214%
35%
41%
5+0%

10 of 43 players shown, ranked by projection. Show all 43 →

Shots43 playersHighest: Jay Stansfield, 1.97 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Jay StansfieldFWDBirmingham City2.3177provisional1.9757%42
016%
127%
225%
317%
49%
54%
6+2%
Josh WindassMIDWrexham2.5965provisional1.8853%31
020%
127%
223%
315%
48%
54%
6+2%
Demarai GrayFWDBirmingham City2.3858provisional1.5343%29
026%
131%
222%
312%
46%
52%
6+1%
Kieffer MooreFWDWrexham2.6449provisional1.4338%30
033%
129%
218%
310%
46%
53%
6+2%
August PriskeFWDBirmingham City1.9665provisional1.4040%12
029%
131%
221%
311%
45%
52%
6+1%
Sam SmithFWDWrexham2.1655provisional1.3236%18
036%
128%
218%
310%
45%
52%
6+1%
Marvin DuckschFWDBirmingham City2.5543provisional1.2132%26
037%
130%
217%
39%
44%
52%
6+1%
Carlos VicenteFWDBirmingham City1.5768provisional1.1833%13
034%
133%
219%
39%
43%
51%
6+0%
Nathan BroadheadFWDWrexham2.5940provisional1.1530%21
038%
132%
217%
38%
43%
51%
6+1%
Patrick RobertsFWDBirmingham City1.8257provisional1.1431%28
038%
131%
218%
38%
43%
51%
6+0%

10 of 43 players shown, ranked by projection. Show all 43 →

Fouls won43 playersHighest: Keshi Anderson, 1.15 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Keshi AndersonFWDBirmingham City2.0850provisional1.1531%11
036%
132%
218%
38%
43%
51%
6+0%
Bright Osayi-SamuelDEFBirmingham City1.4565provisional1.0428%20
039%
133%
218%
37%
42%
51%
6+0%
Liberato CacaceDEFWrexham1.2769provisional0.9826%8
041%
132%
217%
37%
42%
51%
6+0%
Demarai GrayFWDBirmingham City1.5258provisional0.9726%29
041%
134%
217%
36%
42%
51%
6+0%
Carlos VicenteFWDBirmingham City1.2768provisional0.9625%13
042%
133%
216%
36%
42%
50%
6+0%
Oliver RathboneMIDWrexham1.5256provisional0.9425%14
043%
132%
216%
36%
42%
51%
6+0%
Ben SheafMIDWrexham1.4059provisional0.9224%23
043%
134%
216%
36%
42%
50%
6+0%
Ethan LairdDEFBirmingham City1.8644provisional0.9124%12
045%
131%
215%
36%
42%
51%
6+0%
Lewis O'BrienMIDWrexham1.6350provisional0.9124%30
047%
130%
214%
36%
42%
51%
6+0%
Patrick RobertsFWDBirmingham City1.4057provisional0.8823%28
046%
131%
215%
36%
42%
50%
6+0%

10 of 43 players shown, ranked by projection. Show all 43 →

Cards43 playersHighest: Jhon Solís, 0.18 expectedshow

Known defect Prices ANY card — yellow, second yellow or straight red — matching how books settle "to be shown a card". The trends column counts the same thing.

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.

PlayerTeamModel /90Exp. minsProjectedOver 0.5nDistribution
Jhon SolísMIDBirmingham City0.2370provisional0.1816%15
084%
115%
2+1%
Christoph KlarerDEFBirmingham City0.1890provisional0.1816%43
084%
115%
2+1%
Callum DoyleDEFWrexham0.1786provisional0.1715%34
085%
114%
2+1%
Jay StansfieldFWDBirmingham City0.1977provisional0.1715%42
085%
114%
2+1%
George DobsonMIDWrexham0.1978provisional0.1615%34
085%
114%
2+1%
James BeadleGKBirmingham City0.1690provisional0.1615%35
085%
114%
2+1%
Bright Osayi-SamuelDEFBirmingham City0.2265provisional0.1615%20
085%
113%
2+1%
Phil NeumannDEFBirmingham City0.1688provisional0.1514%32
086%
113%
2+1%
Oliver RathboneMIDWrexham0.2456provisional0.1513%14
087%
112%
2+1%
Tomoki IwataMIDBirmingham City0.1775provisional0.1413%45
087%
112%
2+1%
Ben SheafMIDWrexham0.2059provisional0.1312%23
088%
112%
2+1%
Jack RobinsonDEFBirmingham City0.1576provisional0.1312%15
088%
111%
2+1%
Dan ScarrDEFWrexham0.1574provisional0.1212%16
088%
111%
2+1%
Seung-ho PaikMIDBirmingham City0.1671provisional0.1212%39
088%
111%
2+1%
Dominic HyamDEFWrexham0.1290provisional0.1211%40
089%
111%
2+1%
James McCleanMIDWrexham0.1668provisional0.1211%10
089%
110%
2+1%
Ryan LongmanMIDWrexham0.1856provisional0.1110%23
090%
110%
2+1%
Sam SmithFWDWrexham0.1755provisional0.1110%18
090%
19%
2+1%
Max CleworthDEFWrexham0.1371provisional0.1010%40
090%
19%
2+1%
Matty JamesMIDWrexham0.1369provisional0.109%24
091%
19%
2+0%
Lewis O'BrienMIDWrexham0.1650provisional0.099%30
091%
18%
2+0%
George ThomasonMIDWrexham0.1080provisional0.099%30
091%
18%
2+0%
Kai WagnerDEFBirmingham City0.0987provisional0.099%16
091%
18%
2+0%
Marc LeonardMIDBirmingham City0.2138provisional0.098%10
092%
18%
2+0%
Liberato CacaceDEFWrexham0.1169provisional0.098%8
092%
18%
2+0%
August PriskeFWDBirmingham City0.1265provisional0.098%12
092%
18%
2+0%
Demarai GrayFWDBirmingham City0.1358provisional0.098%29
092%
18%
2+0%
Carlos VicenteFWDBirmingham City0.1168provisional0.098%13
092%
18%
2+0%
Ethan LairdDEFBirmingham City0.1644provisional0.087%12
093%
17%
2+0%
Lewis KoumasFWDBirmingham City0.1546provisional0.087%10
093%
17%
2+0%
Kieffer MooreFWDWrexham0.1449provisional0.077%30
093%
17%
2+0%
Josh WindassMIDWrexham0.0965provisional0.066%31
094%
16%
2+0%
Alex CochraneDEFBirmingham City0.1149provisional0.066%19
094%
15%
2+0%
Tommy DoyleMIDBirmingham City0.1339provisional0.065%23
095%
15%
2+0%
Patrick RobertsFWDBirmingham City0.0857provisional0.055%28
095%
15%
2+0%
Willum Thór WillumssonMIDBirmingham City0.1727provisional0.055%5
095%
15%
2+0%
Keshi AndersonFWDBirmingham City0.0850provisional0.054%11
096%
14%
2+0%
Kyogo FuruhashiFWDBirmingham City0.1430provisional0.054%14
096%
14%
2+0%
Ryan BarnettDEFWrexham0.1527provisional0.044%4
096%
14%
2+0%
Marvin DuckschFWDBirmingham City0.0943provisional0.044%26
096%
14%
2+0%
Ryan AllsopGKBirmingham City0.0490provisional0.044%11
096%
1+4%
Nathan BroadheadFWDWrexham0.0540provisional0.022%21
098%
1+2%
Arthur OkonkwoGKWrexham0.0189provisional0.011%38
099%
1+1%

All 43 players shown, ranked by projection. Show fewer ↥

Saves3 playersHighest: James Beadle, 2.73 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.

PlayerTeamModel /90Exp. minsProjectedOver 2.5nDistribution
James BeadleGKBirmingham City2.7390provisional2.7350%35
08%
119%
223%
320%
414%
58%
6+8%
Ryan AllsopGKBirmingham City2.5790provisional2.5746%11
09%
121%
224%
320%
413%
57%
6+6%
Arthur OkonkwoGKWrexham2.4789provisional2.4343%38
011%
122%
224%
319%
412%
57%
6+5%

1 of 7 markets have no projection for this fixture.