01 · 2 legs
Safe
- Double chance Jahn Regensburg or draw (1X)67%
- Over 1.5 goals81%
3. Liga23°4,2 mm28 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
Two drawn matchups since 2024 hint at a closer contest, but when you dig into the numbers, the dynamics between Jahn Regensburg and Saarbrucken reveal a different story. Jahn Regensburg finds itself with a 40% model-backed chance against Saarbrucken's 34%, suggesting a slight home advantage. However, Saarbrucken's tactical approach, focused on possession control, contrasts sharply with Regensburg's low defence and direct style, casting doubt on the hosts' ability to convert their chances.
Saarbrucken's xG dominance at 2.8 per match and more efficient defensive record (xGA 1.1) shouldn't be overlooked. Jahn Regensburg, while averaging 1.5 xG, concedes almost two goals per game, indicating that their defence may struggle to contain Saarbrucken's more potent attack. The reality, though, is nuanced: Regensburg excels in generating chances off quick transitions, boasting an xG of 0.19 within eight seconds of regaining possession, an area where they edge Saarbrucken.
Jahn Regensburg, at home, promises value for bettors, particularly with odds at 2.68 on Pinnacle, yielding an 8% edge per the model. But Saarbrucken's ability to control possession and leverage their superior xPoints and xG stats makes them formidable adversaries. This clash will likely see goals, with a 58% chance of over 2.5 goals and a solid 61% probability of both teams finding the net. Expect a lively back-and-forth.
Saarbrucken’s edge in expected goals and superior xPoints suggests they might be the more capable side despite the modest head-to-head sample. The expected scoreline leans toward a 2-1 victory for Jahn Regensburg, but a 1-1 draw looms large at 11%. Ultimately, the sharpest angle is the clear value on a home win at the available odds, though don’t be surprised if Saarbrucken’s tactical discipline keeps things tighter than expected.
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 · Jahn Regensburg | X | 2 · Saarbrücken |
|---|---|---|---|
| Betsafe | EV+ 7% 2.65 | 3.45 | 2.32 |
| Betsson | EV+ 7% 2.65 | 3.45 | 2.32 |
| Nordicbet | EV+ 7% 2.65 | 3.45 | 2.32 |
| Pinnacle | EV+ 9% 2.71 | 3.68 | 2.39 |
Odds updated 15 Aug, 20:18
2.66 → 2.71
3.58 → 3.68
2.35 → 2.39
Pinnacle · 6 recorded price levels · 09/08/2026 → 15/08/2026 · fixed scale 5 percentage points
Head-to-head based on 3. Liga data since 2024.
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 | Jahn Regensburg | Saarbrücken |
|---|---|---|
| Points | 3 | 3 |
| xPoints | 1.8 | 2.3 |
| xG per match | 1.5 | 2.8 |
| xGA per match | 1.9 | 1.1 |
| xG within 8s of winning the ball | 0.19 | 0.05 |
| xGA within 8s of losing the ball | 0.24 | 0.13 |
| Playing style | Jahn Regensburg | Saarbrücken |
|---|---|---|
| Build-up efficiency | 0.3 | 0.32 |
| Field tilt | 0.23 | 0.7 |
| xT per match | 0.4 | 1.1 |
| xTA per match | 1.1 | 0.84 |
| Won balls, offensive half | 22 | 16 |
| Pressing intensity | 0.21 | 0.16 |
| Pressing efficiency | 0.22 | 0.18 |
| Pressing efficiency, offensive half | 0.13 | 0.13 |
| Entries into the box per match | 3 | 15 |
| Entries into the box against | 14 | 8 |
| Pass completion % | 0.69 | 0.79 |
| Pass completion % under pressure | 0.67 | 0.72 |
| Passes per match | 220 | 352 |
| Passes against per match | 519 | 286 |
| Switches of play per match | 15.9 | 41.1 |
| Long balls per match | 34 | 49 |
| Set pieces | Jahn Regensburg | Saarbrücken |
|---|---|---|
| xG from free kicks | 0 | 0.49 |
| Corners per match | 0 | 4 |
| Corners against per match | 5 | 3 |
| xG per corner | 0 | 0.11 |
| xGA per corner against | 0.01 | 0.06 |
| First touch, offensive corners % | 0 | 0.5 |
| First touch, defensive corners % | 0.6 | 0.67 |
| Other | Jahn Regensburg | Saarbrücken |
|---|---|---|
| Throw-in control | 0.65 | 0.88 |
| The goalkeepers | Felix Strauß (Jahn Regensburg) | Matteo Bignetti (Saarbrücken) |
|---|---|---|
| Saves | 3 | 3 |
| Save % | 100% | 60% |
| xG prevented | 100% | 53% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Jahn Regensburg a 40% win probability. Full 1X2 picture: Jahn Regensburg 40%, draw 26%, Saarbrücken 34%.
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.