01 · 2 legs
Safe
- Double chance FC Köln or draw (1X)69%
- Over 1.5 goals79%
BundesligaRheinEnergieStadion, Köln12°16 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT: FC Köln boast an impressive run, netting in 14 consecutive league matches. This scoring consistency contrasts sharply with Borussia Mönchengladbach's recent form, as the visitors have suffered four straight defeats. The model favors Köln with a 41% chance of winning, supported by superior xPoints and a striking advantage in xGA per match—1.7 for Köln against Gladbach's worrying 2.9. While Gladbach's style is balanced and physical, their recent struggles suggest vulnerabilities that Köln can exploit.
Head-to-head, the teams have clashed just twice since 2022, producing one draw and one win for Gladbach. This limited sample hardly outweighs Köln's current form and expected goals superiority. The hosts generate 2.0 xG per match compared to Gladbach's 1.7, reflecting a more potent attack. The most likely scorelines of 1-1 and 2-1 underscore a close contest but lean towards a home edge.
Rain is expected, potentially dampening goal totals despite a 56% projection for over 2.5 goals. However, Köln's attack and Gladbach's defensive woes point to a 2-1 prediction. With a 41% win probability and Köln's recent performances, backing the hosts looks like the stronger side of this matchup.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · FC Köln | X | 2 · Borussia Mönchengladbach |
|---|---|---|---|
| Betsafe | 1.95 | EV+ 10% 3.80 | EV+ 2% 3.40 |
| LeoVegas | 2.02 | EV+ 13% 3.90 | 3.25 |
| Nordicbet | 1.95 | EV+ 10% 3.80 | EV+ 2% 3.40 |
Odds updated 4 Oct, 16:36
1.98 → 2.02
3.90 → 3.90
3.35 → 3.25
1.47 → 1.48
LeoVegas · 6 recorded price levels · 02/10/2026 → 04/10/2026 · fixed scale 5 percentage points
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 | FC Köln | Borussia Mönchengladbach |
|---|---|---|
| Points | 4 | 0 |
| xPoints | 6.6 | 3.7 |
| xG per match | 2 | 1.7 |
| xGA per match | 1.7 | 2.9 |
| xG within 8s of winning the ball | 0.39 | 0.31 |
| xGA within 8s of losing the ball | 0.25 | 0.6 |
| Playing style | FC Köln | Borussia Mönchengladbach |
|---|---|---|
| Build-up efficiency | 0.35 | 0.28 |
| Field tilt | 0.43 | 0.42 |
| xT per match | 1 | 1.1 |
| xTA per match | 1.3 | 1.6 |
| Won balls, offensive half | 19 | 24 |
| Pressing intensity | 0.25 | 0.25 |
| Pressing efficiency | 0.25 | 0.24 |
| Pressing efficiency, offensive half | 0.2 | 0.2 |
| Entries into the box per match | 12 | 12 |
| Entries into the box against | 16 | 18 |
| Pass completion % | 0.78 | 0.76 |
| Pass completion % under pressure | 0.75 | 0.68 |
| Passes per match | 377 | 334 |
| Passes against per match | 395 | 386 |
| Switches of play per match | 24.4 | 17.6 |
| Long balls per match | 29 | 28 |
| Set pieces | FC Köln | Borussia Mönchengladbach |
|---|---|---|
| xG from free kicks | 0.01 | 0.08 |
| Corners per match | 6.8 | 6.7 |
| Corners against per match | 6.3 | 5.2 |
| xG per corner | 0.05 | 0.04 |
| xGA per corner against | 0.06 | 0.13 |
| First touch, offensive corners % | 0.22 | 0.26 |
| First touch, defensive corners % | 0.48 | 0.55 |
| Other | FC Köln | Borussia Mönchengladbach |
|---|---|---|
| Throw-in control | 0.77 | 0.73 |
| The goalkeepers | Marvin Schwäbe (FC Köln) | Moritz Nicolas (Borussia Mönchengladbach) |
|---|---|---|
| Saves | 15 | 24 |
| Save % | 63% | 60% |
| xG prevented | 61% | 38% |
| Claims | 0 (0%) | 0 (0%) |
The model gives FC Köln a 41% win probability. Full 1X2 picture: FC Köln 41%, draw 29%, Borussia Mönchengladbach 30%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 56% and under at 44%.
The probability of both teams scoring is 59% 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.

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