01 · 2 legs
Safe
- Reims to win53%
- Over 1.5 goals82%
Ligue 2Stade Auguste-Delaune, Reims16°3,1 mm17 km/h
Läs på svenskaFinal score 4–2. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Reims vs Dijon (Ligue 2, Friday, 16 October 2026): Reims win 53%, draw 24%, Dijon win 23%. Expected goals (xG): Reims 1.95, Dijon 1.16. Most likely score: 1-1 (10%). Over 2.5 goals 60%, both teams to score 59%. Double chance: Reims or draw 77%, Dijon or draw 47%. Prediction updated Thursday, 8 October 2026.
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
Reims spearheading the possession and unbeaten in their last 15 league matches should dictate the rhythm against a resurgent Dijon side, who arrive with confidence from three straight victories. Despite the hosts' dominance in recent form, the numbers tell a more balanced story. Both teams prefer to control possession, which could lead to a midfield battle rather than a flurry of goals.
The model slightly favors Reims at 53% probability, with a tighter contest than the points gap suggests: Reims edge it by just two points. Expected goals (xG) hint at a close affair too — Reims at 1.95 vs. Dijon's 1.16. These figures, coupled with Reims' superior xGA, indicate a low-margin match, though the market suggests a lean towards over 2.5 goals with a 60% likelihood and both teams scoring at 59%.
While Reims have the psychological advantage of an unbeaten streak, Dijon's recent wins inject a sense of unpredictability. A narrow 2-1 win for Reims or a 1-1 draw both feel plausible given the statistical probabilities each at 10%. However, Dijon's slightly higher xG per match at 1.5 over Reims' 1.4 gives them a puncher's chance, despite their defensive vulnerability shown by an xGA of 1.6.
For those eyeing the betting market, the over 2.5 goals at odds of 1.68 with Betsafe and Nordicbet holds value with a 1% edge, as the model aligns it at 60% probability. Although not a glaring mispricing, it's a slight opportunity for those looking to exploit a market oversight. This angle, subtle yet concrete, wraps around the tension of two possession-centric sides vying for control but potentially allowing for goal opportunities.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Reims | X | 2 · Dijon |
|---|---|---|---|
| Betsafe | 1.75 | 3.55 | 4.00 |
| LeoVegas | 1.77 | 3.75 | 4.00 |
| Nordicbet | 1.75 | 3.55 | 4.00 |
| Pinnacle | 1.82 | 4.04 | 4.02 |
Odds updated 16 Oct, 13:36
1.77 → 1.82
3.90 → 4.04
4.09 → 4.02
1.69 → 1.69
Pinnacle · 11 recorded price levels · 14/10/2026 → 16/10/2026 · fixed scale 5 percentage points
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Reims | Dijon |
|---|---|---|
| Points | 14 | 12 |
| xPoints | 11.4 | 10.3 |
| xG per match | 1.4 | 1.5 |
| xGA per match | 1.4 | 1.6 |
| xG within 8s of winning the ball | 0.18 | 0.2 |
| xGA within 8s of losing the ball | 0.34 | 0.26 |
| Playing style | Reims | Dijon |
|---|---|---|
| Build-up efficiency | 0.34 | 0.32 |
| Field tilt | 0.39 | 0.52 |
| xT per match | 1.1 | 1.3 |
| xTA per match | 1.3 | 1.2 |
| Won balls, offensive half | 21 | 34 |
| Pressing intensity | 0.22 | 0.21 |
| Pressing efficiency | 0.26 | 0.29 |
| Pressing efficiency, offensive half | 0.2 | 0.23 |
| Entries into the box per match | 10 | 12 |
| Entries into the box against | 12 | 14 |
| Pass completion % | 0.76 | 0.77 |
| Pass completion % under pressure | 0.71 | 0.73 |
| Passes per match | 358 | 417 |
| Passes against per match | 417 | 372 |
| Switches of play per match | 26.4 | 31 |
| Long balls per match | 31 | 45 |
| Set pieces | Reims | Dijon |
|---|---|---|
| xG from free kicks | 0.08 | 0.07 |
| Corners per match | 2.6 | 3.4 |
| Corners against per match | 5.2 | 4.5 |
| xG per corner | 0.04 | 0.04 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.45 | 0.48 |
| First touch, defensive corners % | 0.3 | 0.6 |
| Other | Reims | Dijon |
|---|---|---|
| Throw-in control | 0.73 | 0.78 |
| The goalkeepers | Tom Hulsmann (Reims) | Paul Delecroix (Dijon) |
|---|---|---|
| Saves | 27 | 22 |
| Save % | 75% | 67% |
| xG prevented | 59% | 45% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Reims a 53% win probability. Full 1X2 picture: Reims 53%, draw 24%, Dijon 23%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 60% and under at 40%.
The probability of both teams scoring is 59% according to the model.
The model expects 1.95 goals (xG) for Reims and 1.16 for Dijon, 3.11 in total.
Reims or draw (1X) 77%, Dijon or draw (X2) 47% and no draw (12) 76%.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.