Early forecast · U17 Liga
Predicted 2026/27 Regular-Season Table
A forecast of the table when the regular season ends, before the playoffs. It is based on this season's results, opponent strength and the players available to each team, and updates after every played match.
Forecast table
PPG makes teams with different numbers of matches comparable. The range shows where the team finished in 8 out of 10 tested outcomes.
| Forecast | Club | Current | PPG | Expected finish | Most likely range | Finishing chances |
|---|---|---|---|---|---|---|
| Places 1-6 | ||||||
| 1Down 0.8 | VejleWhy here?Neutral strength: #1 · 1576Last season: 814 returning players |
15 played | 3.0015 total pts | 1.81-3 range | Places 1-699.3% chance | 1-6 99.3%7-12 0.8%13-16 0% |
| 2Stable | FC KøbenhavnWhy here?Neutral strength: #2 · 1571Last season: 115 returning players |
34 played | 2.5010 total pts | 2.81-5 range | Places 1-695.7% chance | 1-6 95.7%7-12 4.3%13-16 0% |
| 3Down 2.5 | Sønderjyske FodboldWhy here?Neutral strength: #5 · 1531Last season: 1213 returning players |
25 played | 2.4012 total pts | 4.52-8 range | Places 1-681.4% chance | 1-6 81.4%7-12 18.5%13-16 0.1% |
| 4Up 1.1 | Randers Freja FCWhy here?Neutral strength: #6 · 1531Last season: 410 returning players |
65 played | 2.0010 total pts | 4.92-8 range | Places 1-677.2% chance | 1-6 77.2%7-12 22.7%13-16 0.2% |
| 5Stable | OBWhy here?Neutral strength: #4 · 1533Last season: 313 returning players |
55 played | 2.0010 total pts | 5.42-9 range | Places 1-669% chance | 1-6 69%7-12 30.7%13-16 0.4% |
| 6Down 1.6 | BrøndbyWhy here?Neutral strength: #3 · 1537Last season: 216 returning players |
45 played | 2.0010 total pts | 5.62-9 range | Places 1-665.7% chance | 1-6 65.7%7-12 33.9%13-16 0.4% |
| Places 7-12 | ||||||
| 7Stable | HB KøgeWhy here?Neutral strength: #7 · 1512No equivalent last-season position18 returning players |
75 played | 1.809 total pts | 6.83-10 range | Places 7-1252.3% chance | 1-6 45.9%7-12 52.3%13-16 1.8% |
| 8Up 0.9 | FC NordsjællandWhy here?Neutral strength: #8 · 1505Last season: 516 returning players |
94 played | 1.506 total pts | 8.15-12 range | Places 7-1267.1% chance | 1-6 27.8%7-12 67.1%13-16 5.1% |
| 9Down 1.1 | AGFWhy here?Neutral strength: #9 · 1494Last season: 914 returning players |
85 played | 1.407 total pts | 9.16-12 range | Places 7-1273% chance | 1-6 17.4%7-12 73%13-16 9.6% |
| 10Up 0.6 | FC MidtjyllandWhy here?Neutral strength: #10 · 1492Last season: 615 returning players |
105 played | 1.206 total pts | 9.46-13 range | Places 7-1275.2% chance | 1-6 13.8%7-12 75.2%13-16 11.1% |
| 11Stable | LyngbyWhy here?Neutral strength: #11 · 1474Last season: 1014 returning players |
115 played | 0.804 total pts | 11.48-14 range | Places 7-1261.9% chance | 1-6 3.3%7-12 61.9%13-16 34.8% |
| 12Up 1.9 | AaBWhy here?Neutral strength: #12 · 1468Last season: 1118 returning players |
145 played | 0.804 total pts | 12.19-15 range | Places 7-1251.4% chance | 1-6 1.6%7-12 51.4%13-16 47% |
| Places 13-16 | ||||||
| 13Up 0.6 | EsbjergWhy here?Neutral strength: #13 · 1460Last season: 1415 returning players |
135 played | 0.804 total pts | 12.49-15 range | Places 13-1653.7% chance | 1-6 1.2%7-12 45.1%13-16 53.7% |
| 14Down 0.6 | Viborg FFWhy here?Neutral strength: #14 · 1457No equivalent last-season position13 returning players |
125 played | 0.804 total pts | 12.610-15 range | Places 13-1656.8% chance | 1-6 0.9%7-12 42.3%13-16 56.8% |
| 15Up 0.6 | SilkeborgWhy here?Neutral strength: #15 · 1439Last season: 713 returning players |
155 played | 0.201 total pts | 14.412-16 range | Places 13-1686.2% chance | 1-6 0.1%7-12 13.7%13-16 86.2% |
| 16Up 1 | AC HorsensWhy here?Neutral strength: #16 · 1419Last season: 1314 returning players |
165 played | 0.000 total pts | 1513-16 range | Places 13-1692.9% chance | 1-6 0%7-12 7.1%13-16 92.9% |
Tested on past seasons
We test the forecast by replaying completed U17/U19 seasons from the same point in the calendar. At each checkpoint it only sees facts that were available then: results, opponent strength, player continuity and the remaining schedule.
How the forecast is calculated
The forecast adjusts current results for opponent strength and capped score margin, then combines them with a shrinking previous-season prior and each returning player's latest 10 validated U17/U19 matches. It tests 10,000 possible final tables.




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