01 · 2 legs
Safe
- Double chance Mainz or draw (X2)70%
- Over 1.5 goals81%
BundesligaBorussia-Park, Mönchengladbach14°16,8 mm29 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
TEXT: Mainz comes into this fixture with a 43% chance of victory according to the model, a clear edge over Borussia Mönchengladbach's 30%. The visitors not only have a higher probability of winning but also display stronger underlying metrics. Their expected goals against (0.64 per game) starkly contrasts with the host's porous defense, which concedes an average of 2.9 xGA per match. Such numbers paint a picture of defensive solidity from Mainz that the home side struggles to match.
Despite a small sample size of four head-to-head encounters since 2022, both teams have shared the spoils fairly evenly. However, the form and expected goal metrics strongly tilt towards Mainz, who also lead in points and expected points in recent contests. With Gladbach's more physical approach clashing against Mainz's high press, the tactical battle could favor the visitors' efforts to control possession and dictate the pace.
For those eyeing the betting angles, the over 2.5 goals at 58% implies a slight lean over, but more crucially, Mainz edging out a win aligns with the odds.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Borussia Mönchengladbach | X | 2 · Mainz |
|---|---|---|---|
| Betsafe | 2.82 | 3.60 | 2.30 |
| Betsson | 2.85 | 3.60 | 2.30 |
| Nordicbet | 2.82 | 3.60 | 2.30 |
Odds updated 11 Sept, 05:38
Head-to-head based on Bundesliga data since 2022.
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 | Borussia Mönchengladbach | Mainz |
|---|---|---|
| Points | 0 | 4 |
| xPoints | 1.8 | 4.1 |
| xG per match | 1.9 | 2 |
| xGA per match | 2.9 | 0.64 |
| xG within 8s of winning the ball | 0.44 | 0.26 |
| xGA within 8s of losing the ball | 0.43 | 0.22 |
| Playing style | Borussia Mönchengladbach | Mainz |
|---|---|---|
| Build-up efficiency | 0.28 | 0.31 |
| Field tilt | 0.55 | 0.65 |
| xT per match | 1.4 | 2 |
| xTA per match | 1.3 | 1.2 |
| Won balls, offensive half | 28 | 25 |
| Pressing intensity | 0.24 | 0.22 |
| Pressing efficiency | 0.31 | 0.29 |
| Pressing efficiency, offensive half | 0.27 | 0.25 |
| Entries into the box per match | 15 | 24 |
| Entries into the box against | 18 | 9 |
| Pass completion % | 0.78 | 0.75 |
| Pass completion % under pressure | 0.74 | 0.68 |
| Passes per match | 362 | 344 |
| Passes against per match | 332 | 371 |
| Switches of play per match | 17.9 | 27 |
| Long balls per match | 28 | 38 |
| Set pieces | Borussia Mönchengladbach | Mainz |
|---|---|---|
| xG from free kicks | 0 | 0.07 |
| Corners per match | 9.4 | 8.2 |
| Corners against per match | 5.5 | 3.1 |
| xG per corner | 0.05 | 0.01 |
| xGA per corner against | 0.13 | 0 |
| First touch, offensive corners % | 0.21 | 0.62 |
| First touch, defensive corners % | 0.6 | 0.83 |
| Other | Borussia Mönchengladbach | Mainz |
|---|---|---|
| Throw-in control | 0.74 | 0.81 |
| The goalkeepers | Moritz Nicolas (Borussia Mönchengladbach) | Fabio Gruber (Mainz) |
|---|---|---|
| Saves | 14 | 2 |
| Save % | 67% | 100% |
| xG prevented | 58% | 100% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Mainz a 43% win probability. Full 1X2 picture: Borussia Mönchengladbach 30%, draw 27%, Mainz 43%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 58% and under at 42%.
The probability of both teams scoring is 61% according to the model.
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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.