Statistics / Football / Turkey. Süper Lig / Kasımpaşa vs Galatasaray

Kasımpaşa vs Galatasaray Statistics & Analysis

Kasımpaşa Kasımpaşa
May 17, 2026 - 17:00
1 0.80
0 1.46
xG Accuracy: 63%
Galatasaray Galatasaray
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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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Galatasaray Kasımpaşa ✖ Incorrect
  • Correct Score Insights 0-1 1-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Süper Lig
  • Fixture: Kasımpaşa vs Galatasaray
  • Kickoff: 2026-05-17 17:00:00
  • 1X2 (model): Home 18.9% · Draw 29.8% · Away 51.2%
  • xG (showing): Kasımpaşa 0.8 — Galatasaray 1.46 (total xG ≈ 2.26)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 60.7% · Implied: 45.2% · Probability edge: +15.5 pts · Est. EV: +30.5%
  • BTTS (model): Yes 43.9% · No 56.1%
  • Correct score (top bin): 0-1 (15.2%)

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.

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

The engine’s headline primary is: Under 2.5 goals.

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

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

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.

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.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

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 19, 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
Süper Lig Süper Lig — Standings
# TEAM MP W D L PTS
1 Galatasaray 33 24 5 4 77
2 Fenerbahçe 33 21 10 2 73
3 Trabzonspor 33 20 9 4 69
4 Beşiktaş 34 17 9 8 60
5 Göztepe 33 14 13 6 55
6 Başakşehir 33 15 9 9 54
7 Samsunspor 33 12 12 9 48
8 Rizespor 34 10 11 13 41
9 Konyaspor 33 10 10 13 40
10 Kocaelispor 33 9 10 14 37
11 Alanyaspor 33 7 16 10 37
12 Gaziantep FK 33 9 10 14 37
13 Eyüpspor 33 8 8 17 32
14 Kasımpaşa 33 7 11 15 32
15 Gençlerbirliği S.K. 33 8 7 18 31
16 Antalyaspor 33 7 8 18 29
17 Kayserispor 33 5 12 16 27
18 Fatih Karagümrük 33 7 6 20 27
# TEAM MP GS GC +/- PTS
1 Galatasaray 33 77 29 +48 77
2 Fenerbahçe 33 74 34 +40 73
3 Trabzonspor 33 61 36 +25 69
4 Beşiktaş 34 59 40 +19 60
5 Başakşehir 33 56 34 +22 54
6 Rizespor 34 46 52 -6 41
7 Samsunspor 33 43 45 -2 48
8 Göztepe 33 42 29 +13 55
9 Konyaspor 33 42 48 -6 40
10 Gaziantep FK 33 42 56 -14 37
11 Alanyaspor 33 40 39 +1 37
12 Gençlerbirliği S.K. 33 33 47 -14 31
13 Kasımpaşa 33 32 49 -17 32
14 Antalyaspor 33 32 55 -23 29
15 Eyüpspor 33 30 45 -15 32
16 Fatih Karagümrük 33 29 53 -24 27
17 Kocaelispor 33 26 37 -11 37
18 Kayserispor 33 25 61 -36 27
# TEAM MP xG xGC +/- PTS
1 Galatasaray 33 68.5 32.7 +35.8 77
2 Fenerbahçe 33 65.0 30.1 +34.9 73
3 Beşiktaş 34 62.6 36.8 +25.8 60
4 Başakşehir 33 53.5 42.7 +10.8 54
5 Göztepe 33 46.6 35.8 +10.8 55
6 Trabzonspor 33 50.4 43.9 +6.5 69
7 Samsunspor 33 43.1 38.9 +4.2 48
8 Rizespor 34 45.3 45.5 -0.2 41
9 Kocaelispor 33 30.1 33.2 -3.1 37
10 Konyaspor 33 44.0 47.4 -3.4 40
11 Gaziantep FK 33 44.4 50.8 -6.4 37
12 Alanyaspor 33 34.6 44.1 -9.5 37
13 Kayserispor 33 37.9 51.7 -13.8 27
14 Kasımpaşa 33 29.2 43.8 -14.6 32
15 Fatih Karagümrük 33 33.2 48.0 -14.8 27
16 Gençlerbirliği S.K. 33 34.9 51.4 -16.5 31
17 Eyüpspor 33 34.4 53.3 -18.9 32
18 Antalyaspor 33 27.8 55.2 -27.4 29
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