01 · 2 legs
Safe
- Saarbrücken to win45%
- Over 1.5 goals78%
3. Liga13°9,0 mm19 km/h
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Anna Karlsson · · A data-driven preview · How the predictions work
With a 45% probability backing Saarbrücken, this 3. Liga clash against SC Fortuna Koln leans toward the visitors. The numbers reveal a sharper edge for Saarbrücken, whose expected goals per match are double that of the hosts—1.1 versus 2.2. Such a disparity in offensive potential suggests that Koln will have their work cut out in disrupting Saarbrücken's attacking rhythm.
What complicates matters for the home side is their reliance on a shared style of play. Both teams prefer to control possession, but Saarbrücken's execution is clearly more effective. With both teams matching up identically in expected goals against (1.3 xGA per match), the key difference comes in who can turn possession into genuine scoring chances, and here, the visitors hold the upper hand.
The model's most likely scorelines of 1-1, 1-2, and 0-1 reflect this subtle advantage, with Saarbrücken's win probabilities outpacing the likelihood of a home victory. A 54% chance of over 2.5 goals suggests that despite the rain, which typically dampens goal-scoring, the match could see a fair share of action. However, the shared possession style might lead to phases of stalemate unless Saarbrücken breaks through early.
SC Fortuna Koln's modest tally of eight points and expected points of 7.9 further underscore their struggles. In contrast, Saarbrücken's 13 points and 12.7 xPoints paint a picture of a team performing close to their potential. Given these dynamics, a 1-2 victory for the visitors seems the most plausible outcome, aligning with the model's lean.
Past head-to-head results may play a psychological part, but the numbers firmly back Saarbrücken to capitalize on their superior offensive capabilities.
01 · 2 legs
02 · 3 legs
03 · 4 legs
| Bookmaker | 1 · SC Fortuna Koln | X | 2 · Saarbrücken |
|---|---|---|---|
| Betfair Exchange | 1.12 | 1.13 | 1.12 |
Odds updated 2 Oct, 07:04
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 | SC Fortuna Koln | Saarbrücken |
|---|---|---|
| Points | 8 | 13 |
| xPoints | 7.9 | 12.7 |
| xG per match | 1.1 | 2.2 |
| xGA per match | 1.3 | 1.3 |
| xG within 8s of winning the ball | 0.26 | 0.24 |
| xGA within 8s of losing the ball | 0.28 | 0.12 |
| Playing style | SC Fortuna Koln | Saarbrücken |
|---|---|---|
| Build-up efficiency | 0.41 | 0.32 |
| Field tilt | 0.39 | 0.57 |
| xT per match | 0.99 | 1.4 |
| xTA per match | 0.98 | 1 |
| Won balls, offensive half | 19 | 19 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.26 | 0.3 |
| Pressing efficiency, offensive half | 0.2 | 0.24 |
| Entries into the box per match | 11 | 15 |
| Entries into the box against | 13 | 13 |
| Pass completion % | 0.73 | 0.76 |
| Pass completion % under pressure | 0.65 | 0.69 |
| Passes per match | 279 | 350 |
| Passes against per match | 387 | 316 |
| Switches of play per match | 26.7 | 32.3 |
| Long balls per match | 38 | 44 |
| Set pieces | SC Fortuna Koln | Saarbrücken |
|---|---|---|
| xG from free kicks | 0.06 | 0.26 |
| Corners per match | 4 | 7.4 |
| Corners against per match | 4.8 | 3.7 |
| xG per corner | 0.02 | 0.04 |
| xGA per corner against | 0.04 | 0.03 |
| First touch, offensive corners % | 0.33 | 0.39 |
| First touch, defensive corners % | 0.62 | 0.62 |
| Other | SC Fortuna Koln | Saarbrücken |
|---|---|---|
| Throw-in control | 0.72 | 0.74 |
| The goalkeepers | Lennart Winkler (SC Fortuna Koln) | Matteo Bignetti (Saarbrücken) |
|---|---|---|
| Saves | 22 | 21 |
| Save % | 79% | 64% |
| xG prevented | 55% | 38% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Saarbrücken a 45% win probability. Full 1X2 picture: SC Fortuna Koln 28%, draw 27%, Saarbrücken 45%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 54% and under at 46%.
The probability of both teams scoring is 56% 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.