TuS RW Koblenz vs TuS Koblenz Prediction, Odds & AI Betting Tips

May 16, 2026 - 12:00
3 1.45
1 1.25
xG Accuracy: 61%
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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 (4 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, 0-1 3-1 ✖ 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 TuS Koblenz
  • Kickoff: 2026-05-16 13:30:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): TuS RW Koblenz 1.45 — TuS Koblenz 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 33.0% · Over 2.5 67.0%); BTTS Yes (Yes 78.3% · No 21.7%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 78.3% · No 21.7%
  • Correct score (top bin): 1-1 (9.3%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). Lean labels are directional only — not bankroll-sized recommendations.

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.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

Re-check after material price moves; edges appear and disappear with liquidity.

FAQ

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

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.

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.

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

May 22, 2026 (UTC)

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Oberliga - Rheinland-Pfalz / Saar Oberliga - Rheinland-Pfalz / SaarStandings
# TEAM MP W D L PTS
1 Kaiserslautern II 33 24 6 3 78
2 Pirmasens 33 23 6 4 75
3 FC Emmelshausen-Karbach 32 19 5 8 62
4 TuS Koblenz 33 17 10 6 61
4 Karbach 28 16 4 8 52
5 FV Engers 07 33 17 4 12 55
6 Hertha Wiesbach 32 16 2 14 50
7 TuS RW Koblenz 33 15 4 14 49
8 Wormatia Worms 33 13 6 14 45
9 Cosmos Koblenz 32 13 7 12 43
10 Gau-Odernheim 32 11 9 12 42
11 Auersmacher 32 12 5 15 41
12 Gonsenheim 32 12 3 17 39
13 Diefflen 32 10 6 16 36
14 Eisbachtal 32 9 7 16 34
15 Dudenhofen 32 8 9 15 33
16 SC Idar-Oberstein 32 8 8 16 32
17 Arminia Ludwigshafen 32 8 7 17 31
18 Eppelborn 32 3 2 27 11
# TEAM MP GS GC +/- PTS
1 Pirmasens 33 99 42 +57 75
2 Kaiserslautern II 33 92 38 +54 78
3 FC Emmelshausen-Karbach 32 75 50 +25 62
4 TuS Koblenz 33 73 41 +32 61
5 Wormatia Worms 33 69 57 +12 45
6 Karbach 28 64 44 +20 52
7 TuS RW Koblenz 33 64 53 +11 49
8 FV Engers 07 33 64 57 +7 55
9 Hertha Wiesbach 32 64 64 0 50
10 Diefflen 32 60 74 -14 36
11 Eisbachtal 32 58 64 -6 34
12 Auersmacher 32 51 66 -15 41
13 Cosmos Koblenz 32 50 52 -2 43
14 Arminia Ludwigshafen 32 50 80 -30 31
15 SC Idar-Oberstein 32 50 84 -34 32
16 Gonsenheim 32 48 55 -7 39
17 Dudenhofen 32 46 63 -17 33
18 Gau-Odernheim 32 42 45 -3 42
19 Eppelborn 32 34 104 -70 11