3. Liga11°9,8 mm43 km/h

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    Rot-Weiss EssenRot-Weiss EssenPossession control
    1–0
    Jahn RegensburgJahn RegensburgLow block & direct
    The model's lean: 1 · Rot-Weiss Essen (58%)Best value by the model: Under 3,5 @ 1.76 (+4 %)

    Rot-Weiss Essen vs Jahn Regensburg · 3. Liga

    1 · Rot-Weiss Essen 58%X 22%20% Jahn Regensburg · 2

    Prediction summary

    Final score 1–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Rot-Weiss Essen vs Jahn Regensburg (3. Liga, Friday, 23 October 2026): Rot-Weiss Essen win 58%, draw 22%, Jahn Regensburg win 20%. Expected goals (xG): Rot-Weiss Essen 2.08, Jahn Regensburg 1.18. Most likely score: 2-1 (10%). Over 2.5 goals 63%, both teams to score 61%. Double chance: Rot-Weiss Essen or draw 80%, Jahn Regensburg or draw 42%. Prediction updated Friday, 16 October 2026.

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    Analysis: Rot-Weiss Essen – Jahn Regensburg

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT: Rot-Weiss Essen’s possession-based control style is set to dictate the tempo against Jahn Regensburg’s low defensive line and direct counter-attacks. In this matchup, the hosts’ refined approach is likely to overwhelm the visitors, reflected by the model giving Essen a 58% probability of victory. A glance at the home side's expected goals tally, at 2.08, suggests they will have little trouble finding the back of the net, especially when compared to Regensburg's 1.18.

    The modest sample size of two head-to-head encounters since 2024 show Essen with a perfect record against the visitors, which adds a psychological edge but is not as weighty as current form and underlying metrics. Essen's 58% home win rate across their all-time home matches (43 played) underpins their status as favorites, a pattern further supported by their superior xPoints (16.0 to Regensburg's 14.0) and a more effective xG (1.8 compared to Regensburg’s 1.5).

    The model's projections suggest a likely scoreline of 2-1 or 2-0, with a 63% probability for over 2.5 goals. Although the rain could suppress scoring, the expected goals reflect this factor, indicating it's unlikely to derail Essen's attacking momentum completely. Jahn Regensburg's defensive vulnerability, conceding 1.5 xGA per match, elevates the chances of the hosts exploiting any lapses at the back.

    Bettors will find value in backing the home side, with multiple bookmakers (Betsafe, LeoVegas, and Nordicbet) offering odds of 1.75. The model rates this at 58%, providing a 2% edge. Given the statistical backing and expected gameplay dynamics, Essen on the moneyline stands as the sensible, well-grounded bet to pay the bills.

    Rot-Weiss EssenRot-Weiss Essen
    Form WDDWL
    League ranking xG #5xGA #1xT #1xP/match #3Points #3
    Key players
    • Lucas BrummeLWxG 0.20 · xT 0.22
    • Jose Enrique Rios AlonsoCBxG 0.05 · xT 0.17
    • Marek JanssenFxG 0.42 · xT 0.15
    Jahn RegensburgJahn Regensburg
    Form LDWDD
    League ranking xG #11xGA #12xT #3xP/match #11Points #18
    Key players
    • Oscar SchönfelderLWBxG 0.07 · xT 0.24
    • Lucas HermesFxG 0.33 · xT 0.11
    • Adrian FeinCAMxG 0.26 · xT 0.18
    Final score
    1 – 0
    The model called the outcome
    Predicted probabilities: Rot-Weiss Essen 58% · Draw 22% · Jahn Regensburg 20%

    How the bookmaker bet builders went

    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.

    Matchresultat - Rot-Weiss EssenBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,89fair 4,71-17 %
    Miss
    Matchresultat - Jahn RegensburgBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,84fair 14,73-40 %
    Miss

    Match prediction: Rot-Weiss Essen – Jahn Regensburg

    Predicted score matrix

    Jahn Regensburg →
    Rot-Weiss Essen →
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–14.2%
    0–22.7%
    0–31.1%
    0–4+0.4%
    1
    1–07.7%
    1–19.7%
    1–25.6%
    1–32.2%
    1–4+0.8%
    2
    2–08.3%
    2–19.8%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–05.7%
    3–16.8%
    3–24.0%
    3–31.6%
    3–4+0.6%
    4+
    4+–04.8%
    4+–15.7%
    4+–23.4%
    4+–31.3%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.1-110%
    3. 3.2-08%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,08–1,18
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,3
    Under 2,537%
    @2.65
    Over 2,563%
    @1.43

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Rot-Weiss Essen to win58%
    • Over 1.5 goals84%

    Combined probability

    50%

    Fair odds

    2.00

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Rot-Weiss Essen to win58%
    • Over 2.5 goals63%
    • Semir Telalović to score38%

    Combined probability

    –

    Fair odds

    –

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score61%
    • Over 2.5 goals63%
    • Semir Telalović to score38%
    • Sascha Hingerl to be booked25%

    Combined probability

    –

    Fair odds

    –

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Under 3.559% probability@1.76PinnacleEV+4%reference odds
    • 1 · Rot-Weiss Essen58% probability@1.72BetsafeEV+0%reference odds
    • 1 · Rot-Weiss Essen58% probability@1.72LeoVegasEV+0%reference odds
    Bookmaker1 · Rot-Weiss EssenX2 · Jahn Regensburg
    Betsafe
    EV+ 0%
    1.72
    3.853.95
    LeoVegas
    EV+ 0%
    1.72
    3.903.85
    Nordicbet
    EV+ 0%
    1.72
    3.853.95
    Pinnacle1.714.364.09

    Odds updated 23 Oct, 13:36

    Odds movement

    1+5 %
    59 %54 %

    1.63 → 1.71

    X0 %
    24 %19 %

    4.34 → 4.36

    2-5 %
    24 %19 %

    4.30 → 4.09

    Pinnacle · 11 recorded price levels · 17/10/2026 → 23/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Rot-Weiss Essen 2Draw 0Jahn Regensburg 0
    Goals: 6–3 (⌀ 4,5)

    Head-to-head based on 3. Liga data since 2024.

    Key facts

    • Rot-Weiss Essen win 58% of their home matches all-time (43 played).
    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Rot-Weiss Essen
    Jahn Regensburg
    When goals are scored and conceded — 2026
    Rot-Weiss Essen (18–13)
    Jahn Regensburg (20–19)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Rot-Weiss Essen
    Jose Enrique Rios Alonso: 315 passningar, xT 0.61AlonsoBen Huning: 276 passningar, xT 0.81HuningJanne Sietan: 225 passningar, xT 0.38SietanJakob Golz: 179 passningar, xT 0.47GolzFranci Clarck Bouebari Kitsamoutse: 177 passningar, xT 0.38KitsamoutseJannik Hofmann: 143 passningar, xT 0.2HofmannNoah Phil Pesch: 112 passningar, xT 0.2PeschMarvin Ayhan Obuz: 82 passningar, xT 0.91ObuzLucas Brumme: 80 passningar, xT 0.7BrummeSemir Telalović: 66 passningar, xT 0.17TelalovićMichał Kostka: 56 passningar, xT 0.33Kostka
    Jahn Regensburg
    Adrian Fein: 268 passningar, xT 0.6FeinLeopold Wurm: 236 passningar, xT 0.92WurmLeo Mätzler: 211 passningar, xT 0.19MätzlerOscar Schönfelder: 191 passningar, xT 0.73SchönfelderLukas Mühl: 183 passningar, xT 0.18MühlNicolas-Bernd Oliveira Kisilowski: 169 passningar, xT 0.8KisilowskiHannes Steffen Hermann: 141 passningar, xT 0.15HermannSascha Hingerl: 106 passningar, xT 0.4HingerlNassim Boujellab: 95 passningar, xT 1.04BoujellabErik Majetschak: 72 passningar, xT 0.21MajetschakMalte Karbstein: 66 passningar, xT 0.1Karbstein
    xT networks

    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.

    Rot-Weiss Essen
    Jose Enrique Rios Alonso: 315 passningar, xT 0.61AlonsoBen Huning: 276 passningar, xT 0.81HuningJanne Sietan: 225 passningar, xT 0.38SietanJakob Golz: 179 passningar, xT 0.47GolzFranci Clarck Bouebari Kitsamoutse: 177 passningar, xT 0.38KitsamoutseJannik Hofmann: 143 passningar, xT 0.2HofmannNoah Phil Pesch: 112 passningar, xT 0.2PeschMarvin Ayhan Obuz: 82 passningar, xT 0.91ObuzLucas Brumme: 80 passningar, xT 0.7BrummeSemir Telalović: 66 passningar, xT 0.17TelalovićMichał Kostka: 56 passningar, xT 0.33Kostka
    Jahn Regensburg
    Adrian Fein: 268 passningar, xT 0.6FeinLeopold Wurm: 236 passningar, xT 0.92WurmLeo Mätzler: 211 passningar, xT 0.19MätzlerOscar Schönfelder: 191 passningar, xT 0.73SchönfelderLukas Mühl: 183 passningar, xT 0.18MühlNicolas-Bernd Oliveira Kisilowski: 169 passningar, xT 0.8KisilowskiHannes Steffen Hermann: 141 passningar, xT 0.15HermannSascha Hingerl: 106 passningar, xT 0.4HingerlNassim Boujellab: 95 passningar, xT 1.04BoujellabErik Majetschak: 72 passningar, xT 0.21MajetschakMalte Karbstein: 66 passningar, xT 0.1Karbstein

    The teams in numbers

    PerformanceRot-Weiss EssenJahn Regensburg
    Points1810
    xPoints1614
    xG per match1.81.5
    xGA per match1.11.5
    xG within 8s of winning the ball0.240.3
    xGA within 8s of losing the ball0.060.21
    Playing styleRot-Weiss EssenJahn Regensburg
    Build-up efficiency0.320.3
    Field tilt0.570.5
    xT per match1.61.4
    xTA per match0.921.2
    Won balls, offensive half2624
    Pressing intensity0.210.22
    Pressing efficiency0.310.27
    Pressing efficiency, offensive half0.260.22
    Entries into the box per match1513
    Entries into the box against1013
    Pass completion %0.760.77
    Pass completion % under pressure0.720.72
    Passes per match354363
    Passes against per match307419
    Switches of play per match27.523.8
    Long balls per match4533
    Set piecesRot-Weiss EssenJahn Regensburg
    xG from free kicks0.010.02
    Corners per match5.33.9
    Corners against per match4.54.3
    xG per corner0.040.02
    xGA per corner against0.040.05
    First touch, offensive corners %0.450.54
    First touch, defensive corners %0.580.45
    OtherRot-Weiss EssenJahn Regensburg
    Throw-in control0.790.74
    The goalkeepersJakob Golz (Rot-Weiss Essen)Hannes Steffen Hermann (Jahn Regensburg)
    Saves2120
    Save %64%51%
    xG prevented38%30%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rot-Weiss Essen vs Jahn Regensburg according to our model?

    The model gives Rot-Weiss Essen a 58% win probability. Full 1X2 picture: Rot-Weiss Essen 58%, draw 22%, Jahn Regensburg 20%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 63% and under at 37%.

    Will both teams score?

    The probability of both teams scoring is 61% according to the model.

    How many goals are expected in Rot-Weiss Essen vs Jahn Regensburg?

    The model expects 2.08 goals (xG) for Rot-Weiss Essen and 1.18 for Jahn Regensburg, 3.26 in total.

    What does the model say about double chance?

    Rot-Weiss Essen or draw (1X) 80%, Jahn Regensburg or draw (X2) 42% and no draw (12) 78%.

    Why are some legs locked in the bet builder?

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