TuS RW Koblenz vs Wormatia Worms Statistics & Analysis

May 20, 2026 - 17:30
4 1.45
2 1.25
xG Accuracy: 40%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (6 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 TuS RW Koblenz TuS RW Koblenz ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 1-3 4-2 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Oberliga - Rheinland-Pfalz / Saar
  • Fixture: TuS RW Koblenz vs Wormatia Worms
  • Kickoff: 2026-05-31 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): TuS RW Koblenz 1.45 — Wormatia Worms 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 29.4% · Over 2.5 70.6%); BTTS Yes (Yes 73.8% · No 26.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 73.8% · No 26.2%
  • Correct score (top bin): 1-1 (8.7%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Best Bet + Reason

No bankroll-sized bet is implied here.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

Risk Factors

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

June 07, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Oberliga - Rheinland-Pfalz / Saar Oberliga - Rheinland-Pfalz / SaarStandings
# TEAM MP W D L PTS
1 Kaiserslautern II 34 25 6 3 81
2 Pirmasens 34 24 6 4 78
3 FC Emmelshausen-Karbach 34 20 5 9 65
4 TuS Koblenz 34 17 10 7 61
4 Karbach 28 16 4 8 52
5 FV Engers 07 34 16 5 13 53
6 TuS RW Koblenz 34 16 4 14 52
7 Hertha Wiesbach 34 16 3 16 51
8 Wormatia Worms 34 14 6 14 48
9 Gau-Odernheim 34 13 10 11 48
10 Cosmos Koblenz 34 14 7 13 46
11 Gonsenheim 34 14 3 17 45
12 Auersmacher 34 12 5 17 41
13 Diefflen 34 11 6 17 39
14 Eisbachtal 34 9 8 17 35
15 Arminia Ludwigshafen 34 10 7 17 37
16 Dudenhofen 34 9 9 16 36
17 SC Idar-Oberstein 34 7 8 18 29
18 Eppelborn 34 3 2 29 11
# TEAM MP GS GC +/- PTS
1 Pirmasens 34 103 43 +60 78
2 Kaiserslautern II 34 97 39 +58 81
3 FC Emmelshausen-Karbach 34 82 57 +25 65
4 TuS Koblenz 34 75 44 +31 61
5 Wormatia Worms 34 73 60 +13 48
6 TuS RW Koblenz 34 68 55 +13 52
7 Hertha Wiesbach 34 67 71 -4 51
8 FV Engers 07 34 66 61 +5 53
9 Karbach 28 64 44 +20 52
10 Diefflen 34 64 79 -15 39
11 Eisbachtal 34 62 69 -7 35
12 Arminia Ludwigshafen 34 55 80 -25 37
13 Cosmos Koblenz 34 54 57 -3 46
14 Gonsenheim 34 54 58 -4 45
15 Dudenhofen 34 52 66 -14 36
16 Auersmacher 34 52 72 -20 41
17 SC Idar-Oberstein 34 52 90 -38 29
18 Gau-Odernheim 34 48 47 +1 48
19 Eppelborn 34 37 113 -76 11