Predictions / Football / Turkey. Süper Lig / Gençlerbirliği S.K. vs Kasımpaşa

Gençlerbirliği S.K. vs Kasımpaşa Prediction, Odds & AI Betting Tips

May 09, 2026 - 17:00
3 1.02
2 0.88
xG Accuracy: 43%
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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 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Genclerbirligi Gençlerbirliği S.K. ✔ Correct
  • Correct Score Insights 1-0, 0-0, 1-1, 0-1, 2-0 3-2 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Süper Lig
  • Fixture: Genclerbirligi vs Kasımpaşa
  • Kickoff: 2026-05-10 17:00:00
  • 1X2 (model): Home 36.1% · Draw 35.2% · Away 28.7%
  • xG (showing): Genclerbirligi 1.02 — Kasımpaşa 0.88 (total xG ≈ 1.9)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 70.4% · Implied: 57.4% · Probability edge: +13.0 pts · Est. EV: +19.0%
  • BTTS (model): Yes 39.2% · No 60.8%
  • Correct score (top bin): 1-0 (15.3%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

Primary pick from the decision engine: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

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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Süper Lig Süper LigStandings
# TEAM MP W D L PTS
1 Galatasaray 34 24 5 5 77
2 Fenerbahçe 34 21 11 2 74
3 Trabzonspor 34 20 9 5 69
4 Beşiktaş 34 17 9 8 60
5 Başakşehir 34 16 9 9 57
6 Göztepe 34 14 13 7 55
7 Samsunspor 34 13 12 9 51
8 Rizespor 34 10 11 13 41
9 Konyaspor 34 10 10 14 40
10 Kocaelispor 34 9 10 15 37
11 Alanyaspor 34 7 16 11 37
12 Gaziantep FK 34 9 10 15 37
13 Kasımpaşa 34 8 11 15 35
14 Gençlerbirliği S.K. 34 9 7 18 34
15 Eyüpspor 34 8 9 17 33
16 Antalyaspor 34 8 8 18 32
17 Kayserispor 34 6 12 16 30
18 Fatih Karagümrük 34 8 6 20 30
# TEAM MP GS GC +/- PTS
1 Galatasaray 34 77 30 +47 77
2 Fenerbahçe 34 77 37 +40 74
3 Trabzonspor 34 61 39 +22 69
4 Beşiktaş 34 59 40 +19 60
5 Başakşehir 34 58 35 +23 57
6 Samsunspor 34 46 45 +1 51
7 Rizespor 34 46 52 -6 41
8 Konyaspor 34 43 50 -7 40
9 Gaziantep FK 34 43 58 -15 37
10 Göztepe 34 42 32 +10 55
11 Alanyaspor 34 41 41 0 37
12 Gençlerbirliği S.K. 34 36 47 -11 34
13 Eyüpspor 34 33 48 -15 33
14 Kasımpaşa 34 33 49 -16 35
15 Antalyaspor 34 33 55 -22 32
16 Fatih Karagümrük 34 31 54 -23 30
17 Kayserispor 34 27 62 -35 30
18 Kocaelispor 34 26 38 -12 37
# TEAM MP xG xGC +/- PTS
1 Galatasaray 34 68.5 32.7 +35.8 77
2 Fenerbahçe 34 65.0 30.1 +34.9 74
3 Beşiktaş 34 62.6 36.8 +25.8 60
4 Başakşehir 34 53.5 42.7 +10.8 57
5 Göztepe 34 46.6 35.8 +10.8 55
6 Trabzonspor 34 50.4 43.9 +6.5 69
7 Samsunspor 34 43.1 38.9 +4.2 51
8 Rizespor 34 45.3 45.5 -0.2 41
9 Kocaelispor 34 30.1 33.2 -3.1 37
10 Konyaspor 34 44.0 47.4 -3.4 40
11 Gaziantep FK 34 44.4 50.8 -6.4 37
12 Alanyaspor 34 34.6 44.1 -9.5 37
13 Kayserispor 34 37.9 51.7 -13.8 30
14 Kasımpaşa 34 29.2 43.8 -14.6 35
15 Fatih Karagümrük 34 33.2 48.0 -14.8 30
16 Gençlerbirliği S.K. 34 34.9 51.4 -16.5 34
17 Eyüpspor 34 34.4 53.3 -18.9 33
18 Antalyaspor 34 27.8 55.2 -27.4 32