TSV Singen vs Karlsruhe II Statistics & Analysis

May 10, 2026 - 12:00
0 1.45
2 1.25
xG Accuracy: 55%
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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 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 TSV Singen Karlsruhe II ✖ Incorrect
  • Correct Score Insights 1-1 0-2 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Oberliga - Baden-Württemberg
  • Fixture: TSV Singen vs Karlsruhe II
  • Kickoff: 2026-05-10 13:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): TSV Singen 1.45 — Karlsruhe II 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 31.2% · Over 2.5 68.8%); BTTS No (Yes 46.7% · No 53.3%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 46.7% · No 53.3%
  • Correct score (top bin): 1-1 (8.9%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

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

FAQ

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.

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.

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.

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.

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 17, 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 - Baden-Württemberg Oberliga - Baden-WürttembergStandings
# TEAM MP W D L PTS
1 VfR Aalen 32 25 5 2 80
2 VfR Mannheim 33 19 9 5 66
3 FC Nöttingen 32 18 3 11 57
4 FV Ravensburg 32 15 8 9 53
5 Essingen 32 14 11 7 53
6 Oberachern 32 15 6 11 51
7 CFR Pforzheim 33 12 12 9 48
8 FC 08 Villingen 33 12 11 10 47
9 Reutlingen 32 11 11 10 44
10 Karlsruhe II 33 11 10 12 43
11 Backnang 32 11 7 15 39
12 Normannia Gmünd 32 8 12 13 36
13 TSV Singen 32 10 4 18 34
14 Göppinger SV 32 8 9 15 33
15 Türkspor Neckarsulm 32 9 6 17 33
16 Hollenbach 32 8 8 16 32
17 Bissingen 32 6 12 14 30
18 Denzlingen 32 5 4 23 19
# TEAM MP GS GC +/- PTS
1 VfR Aalen 32 81 20 +61 80
2 FC Nöttingen 32 79 57 +22 57
3 VfR Mannheim 33 77 32 +45 66
4 CFR Pforzheim 33 65 57 +8 48
5 FV Ravensburg 32 55 49 +6 53
6 Reutlingen 32 54 47 +7 44
7 FC 08 Villingen 33 53 52 +1 47
8 Essingen 32 52 55 -3 53
9 Hollenbach 32 52 64 -12 32
10 Karlsruhe II 33 51 56 -5 43
11 Normannia Gmünd 32 49 50 -1 36
12 Oberachern 32 49 56 -7 51
13 Bissingen 32 49 74 -25 30
14 TSV Singen 32 49 79 -30 34
15 Göppinger SV 32 48 52 -4 33
16 Backnang 32 48 63 -15 39
17 Türkspor Neckarsulm 32 44 58 -14 33
18 Denzlingen 32 35 70 -35 19