Model Reliability
One model set is trained per league group (at most two leagues each), so
each is judged separately. A group that beats its baseline is worth betting;
one that does not, is not — regardless of how the others do.
Out-of-sample by league group (the numbers that count)
Central
Trained on 2305 matches before
2025-02-10; scored on 577 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
577 |
50.1% |
44.5% (always H) |
0.6166 |
beats baseline
|
| Over / Under 2.5 goals |
577 |
53.0% |
53.0% (always Y) |
0.4997 |
no better |
| Both teams to score |
577 |
55.6% |
55.6% (always Y) |
0.4946 |
no better |
Denmark
Trained on 2499 matches before
2023-09-22; scored on 625 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
625 |
50.2% |
42.7% (always H) |
0.6187 |
beats baseline
|
| Over / Under 2.5 goals |
625 |
59.7% |
59.7% (always Y) |
0.4912 |
no better |
| Both teams to score |
625 |
60.0% |
62.2% (always Y) |
0.4879 |
no better |
England
Trained on 6195 matches before
2025-01-14; scored on 1549 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
1549 |
46.4% |
42.9% (always H) |
0.6324 |
beats baseline
|
| Over / Under 2.5 goals |
1549 |
54.0% |
51.5% (always Y) |
0.4975 |
beats baseline
|
| Both teams to score |
1549 |
55.8% |
54.7% (always Y) |
0.4952 |
beats baseline
|
Finland
Trained on 2224 matches before
2023-10-07; scored on 556 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
556 |
48.0% |
45.1% (always H) |
0.6297 |
beats baseline
|
| Over / Under 2.5 goals |
556 |
41.5% |
58.8% (always Y) |
0.514 |
no better |
| Both teams to score |
556 |
46.0% |
58.3% (always Y) |
0.5074 |
no better |
France
Trained on 4315 matches before
2025-01-19; scored on 1079 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
1079 |
48.3% |
43.9% (always H) |
0.6159 |
beats baseline
|
| Over / Under 2.5 goals |
1079 |
51.3% |
51.1% (always Y) |
0.5004 |
beats baseline
|
| Both teams to score |
1079 |
52.6% |
52.8% (always Y) |
0.4982 |
no better |
Germany
Trained on 6248 matches before
2024-11-30; scored on 1563 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
1563 |
45.3% |
41.7% (always H) |
0.6377 |
beats baseline
|
| Over / Under 2.5 goals |
1563 |
58.9% |
58.9% (always Y) |
0.4803 |
no better |
| Both teams to score |
1563 |
58.9% |
58.9% (always Y) |
0.4844 |
no better |
Iberia East
Trained on 3000 matches before
2025-03-15; scored on 750 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
750 |
50.0% |
41.1% (always H) |
0.5895 |
beats baseline
|
| Over / Under 2.5 goals |
750 |
49.7% |
52.5% (always Y) |
0.5001 |
no better |
| Both teams to score |
750 |
50.3% |
50.3% (always N) |
0.5001 |
no better |
Italy
Trained on 9038 matches before
2024-10-26; scored on 2260 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
2260 |
46.4% |
43.0% (always H) |
0.6284 |
beats baseline
|
| Over / Under 2.5 goals |
2260 |
53.3% |
53.1% (always N) |
0.4991 |
beats baseline
|
| Both teams to score |
2260 |
50.8% |
51.5% (always Y) |
0.4997 |
no better |
Low Countries
Trained on 3496 matches before
2025-03-16; scored on 875 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
875 |
49.8% |
41.9% (always H) |
0.613 |
beats baseline
|
| Over / Under 2.5 goals |
875 |
57.6% |
56.0% (always Y) |
0.4923 |
beats baseline
|
| Both teams to score |
875 |
57.3% |
57.3% (always Y) |
0.4896 |
no better |
Mexico
Trained on 3734 matches before
2023-10-07; scored on 934 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
934 |
48.1% |
47.4% (always H) |
0.6275 |
beats baseline
|
| Over / Under 2.5 goals |
934 |
50.1% |
54.8% (always Y) |
0.5016 |
no better |
| Both teams to score |
934 |
56.0% |
56.0% (always Y) |
0.4926 |
no better |
Norway
Trained on 2936 matches before
2023-11-05; scored on 734 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
734 |
48.8% |
46.2% (always H) |
0.6204 |
beats baseline
|
| Over / Under 2.5 goals |
734 |
57.5% |
57.5% (always Y) |
0.4895 |
no better |
| Both teams to score |
734 |
53.8% |
53.8% (always Y) |
0.5034 |
no better |
South America
Trained on 6424 matches before
2024-10-18; scored on 1606 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
1606 |
44.3% |
43.8% (always H) |
0.6424 |
beats baseline
|
| Over / Under 2.5 goals |
1606 |
64.1% |
64.1% (always N) |
0.4625 |
no better |
| Both teams to score |
1606 |
58.2% |
58.1% (always N) |
0.4891 |
beats baseline
|
Spain
Trained on 4455 matches before
2025-04-05; scored on 1114 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
1114 |
49.0% |
47.8% (always H) |
0.6286 |
beats baseline
|
| Over / Under 2.5 goals |
1114 |
50.7% |
50.3% (always Y) |
0.5082 |
beats baseline
|
| Both teams to score |
1114 |
49.6% |
55.4% (always Y) |
0.5016 |
no better |
Sweden
Trained on 3080 matches before
2024-04-15; scored on 770 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
770 |
45.6% |
44.2% (always H) |
0.6295 |
beats baseline
|
| Over / Under 2.5 goals |
770 |
54.2% |
53.5% (always Y) |
0.4984 |
beats baseline
|
| Both teams to score |
770 |
53.0% |
53.2% (always Y) |
0.4995 |
no better |
Usa
Trained on 4847 matches before
2024-04-07; scored on 1212 after.
| Market | Test matches | Accuracy |
Baseline | Brier | Verdict |
| Match result |
1212 |
45.5% |
45.5% (always H) |
0.6487 |
no better |
| Over / Under 2.5 goals |
1212 |
60.9% |
60.9% (always Y) |
0.4827 |
no better |
| Both teams to score |
1212 |
61.1% |
61.1% (always Y) |
0.4791 |
no better |
In-sample (not a measure of skill)
Below, each group's live models are scored on the matches they were trained
on. With team-identity features a model can memorise individual fixtures,
which is why these read far higher. These figures do not indicate the
model works — they are kept only to spot training failures. Judge by
the out-of-sample section above.
Central
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
2882 |
65.5% |
0.5067 |
| Over / Under 2.5 goals |
2882 |
54.2% |
0.4721 |
| Both teams to score |
2882 |
55.2% |
0.4786 |
Denmark
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
3124 |
67.6% |
0.5139 |
| Over / Under 2.5 goals |
3124 |
53.9% |
0.5195 |
| Both teams to score |
3124 |
48.9% |
0.5538 |
England
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
63.9% |
0.525 |
| Over / Under 2.5 goals |
4000 |
79.9% |
0.4613 |
| Both teams to score |
4000 |
62.0% |
0.4818 |
Finland
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
2780 |
59.5% |
0.5508 |
| Over / Under 2.5 goals |
2780 |
24.1% |
0.5479 |
| Both teams to score |
2780 |
19.5% |
0.5493 |
France
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
68.6% |
0.4992 |
| Over / Under 2.5 goals |
4000 |
83.9% |
0.4506 |
| Both teams to score |
4000 |
66.9% |
0.4594 |
Germany
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
60.5% |
0.5431 |
| Over / Under 2.5 goals |
4000 |
58.8% |
0.4428 |
| Both teams to score |
4000 |
57.8% |
0.4607 |
Iberia East
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
3750 |
76.5% |
0.4252 |
| Over / Under 2.5 goals |
3750 |
84.6% |
0.4882 |
| Both teams to score |
3750 |
64.7% |
0.4791 |
Italy
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
56.8% |
0.5499 |
| Over / Under 2.5 goals |
4000 |
62.7% |
0.4639 |
| Both teams to score |
4000 |
71.3% |
0.4891 |
Low Countries
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
71.6% |
0.456 |
| Over / Under 2.5 goals |
4000 |
71.9% |
0.4068 |
| Both teams to score |
4000 |
58.3% |
0.4507 |
Mexico
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
53.0% |
0.5999 |
| Over / Under 2.5 goals |
4000 |
68.7% |
0.4916 |
| Both teams to score |
4000 |
55.1% |
0.4904 |
Norway
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
3670 |
58.4% |
0.5527 |
| Over / Under 2.5 goals |
3670 |
57.6% |
0.4849 |
| Both teams to score |
3670 |
57.7% |
0.4851 |
South America
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
45.3% |
0.604 |
| Over / Under 2.5 goals |
4000 |
60.2% |
0.4786 |
| Both teams to score |
4000 |
54.1% |
0.4837 |
Spain
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
54.9% |
0.5495 |
| Over / Under 2.5 goals |
4000 |
56.3% |
0.4605 |
| Both teams to score |
4000 |
73.0% |
0.4862 |
Sweden
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
3850 |
62.2% |
0.5446 |
| Over / Under 2.5 goals |
3850 |
53.8% |
0.4918 |
| Both teams to score |
3850 |
54.1% |
0.5184 |
Usa
(in-sample)
| Market | Matches | Accuracy | Brier |
| Match result |
4000 |
49.4% |
0.6339 |
| Over / Under 2.5 goals |
4000 |
56.6% |
0.5006 |
| Both teams to score |
4000 |
58.0% |
0.4952 |