01 · 2 legs
Safe
- Double chance SC Fortuna Koln or draw (X2)60%
- Over 1.5 goals77%
3. Liga
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
The razor-thin balance between SV Havelse and SC Fortuna Koln is reflected in the near-even odds the model assigns to each team. Both sides are pegged at a 37% chance of victory, while a draw sits at 26%. Yet, Fortuna Koln carries a slight model lean, hinting at their ability to find an edge despite the apparent equilibrium. Their direct style might clash with Havelse's counter-attacking approach, but the xG figures suggest the hosts could create more opportunities to tip the scales.
Fortuna Koln's defense is more porous, conceding 1.6 xGA per match, compared to Havelse's tighter 0.87 xGA. This defensive vulnerability opens the door for Havelse to exploit with their crossing game, potentially tilting the match in their favor. While Havelse edges the expected goals per match with 1.3 compared to Koln's 1.1, the visitors have shown a knack for eking out results, securing 5 points over the season to Havelse's 3.
The most probable scorelines—1-1, 2-1, and 1-0—indicate a tendency toward a close encounter, where fine margins will likely dictate the outcome. The model's prediction of a 53% chance for over 2.5 goals and a 57% chance for both teams to score suggests an open game despite the opposing styles. The numbers, particularly Havelse's defensive solidity, make a narrow home win or a scoring draw the likeliest scenarios.
For those looking to capitalize, Fortuna Koln's edge in points and model lean might offer value, considering their ability to snatch results. The key question remains whether Havelse's defensive discipline will withstand Koln's direct approach, but the smart money frames Koln as a cautious yet promising pick.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | SV Havelse | SC Fortuna Koln |
|---|---|---|
| Points | 3 | 5 |
| xPoints | 3.4 | 4.9 |
| xG per match | 1.3 | 1.1 |
| xGA per match | 0.87 | 1.6 |
| xG within 8s of winning the ball | 0.1 | 0.23 |
| xGA within 8s of losing the ball | 0.14 | 0.35 |
| Playing style | SV Havelse | SC Fortuna Koln |
|---|---|---|
| Build-up efficiency | 0.23 | 0.42 |
| Field tilt | 0.27 | 0.32 |
| xT per match | 0.8 | 0.97 |
| xTA per match | 0.71 | 1.2 |
| Won balls, offensive half | 16 | 15 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.3 | 0.24 |
| Pressing efficiency, offensive half | 0.17 | 0.16 |
| Entries into the box per match | 10 | 11 |
| Entries into the box against | 13 | 15 |
| Pass completion % | 0.72 | 0.7 |
| Pass completion % under pressure | 0.68 | 0.62 |
| Passes per match | 293 | 240 |
| Passes against per match | 356 | 406 |
| Switches of play per match | 20 | 23.9 |
| Long balls per match | 36 | 39 |
| Set pieces | SV Havelse | SC Fortuna Koln |
|---|---|---|
| xG from free kicks | 0.03 | 0.1 |
| Corners per match | 3.5 | 3.5 |
| Corners against per match | 4 | 5.7 |
| xG per corner | 0 | 0.04 |
| xGA per corner against | 0.04 | 0.05 |
| First touch, offensive corners % | 0.29 | 0.36 |
| First touch, defensive corners % | 0.5 | 0.61 |
| Other | SV Havelse | SC Fortuna Koln |
|---|---|---|
| Throw-in control | 0.76 | 0.74 |
| The goalkeepers | Yannick Mausehund (SV Havelse) | Lennart Winkler (SC Fortuna Koln) |
|---|---|---|
| Saves | 2 | 17 |
| Save % | 100% | 85% |
| xG prevented | 100% | 60% |
| Claims | 0 (0%) | 0 (0%) |
The model gives SC Fortuna Koln a 37% win probability. Full 1X2 picture: SV Havelse 37%, draw 26%, SC Fortuna Koln 37%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 57% 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.