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Singapore · S.League · Premier League

17 May 2026 11:30 UTC

TAMPINES ROVERS FC vs LION CITY SAILORS FC

Final 3:2

Tampines Rovers FC won Last goal: Tampines Rovers FC

Match timeline

2nd half

  1. ⚽ Ui-Young Song — Lion City Sailors FC
  2. ⚽ Jacob Mahler — Tampines Rovers FC
  3. ⚽ Lennart Thy — Lion City Sailors FC
  4. ⚽ Yuki Kobayashi — Tampines Rovers FC
  5. ⚽ Hide Higashikawa — Tampines Rovers FC
  6. 🟥 Koya Kazama (straight red) — Tampines Rovers FC

Model predictions were

Predictions are settled on the 90-minute result, including stoppage time but excluding extra time and penalties.

Big miss
56%
1X2
Lion City Sailors FC
90-minute result: Tampines Rovers FC
Off target
62%
Both teams to score
No

Chance at least one team fails to score

Result: Yes
No surprise
18%
Total 1.5
Under

Chance of 1 or fewer goals

Result: Over
No surprise
34%
Total 2.5
Under

Chance of 2 or fewer goals

Result: Over
As expected
58%
Total 3.5
Under

Chance of 3 or fewer goals

Result: Over
Big miss
77%
Total 4.5
Under

Chance of 4 or fewer goals

Result: Over
As expected
5%
Score
0:1

Chance of this exact score

Result: 3:2

Model Context Was

Match prediction context

Probability in similar matches 67% (Strong)

How often the predicted 1X2 outcome matched the final result in past matches in this league when the model’s predicted score line had the same home-minus-away goal difference (-1; home goals minus away goals).

Based on 18 past matches with this goal margin in this league.

Draw likelihood 11% (Low)

Historical draw rate in this league. Low / Typical / High is relative to usual draw frequencies, not model accuracy.

Based on 83 finished matches in this league.

League

Historical model performance in this league before this match date.

Based on 78 completed matches.

1X2 61% (Good)
Both teams to score 55% (Good)
Total 1.5 83% (Strong)
Total 2.5 59% (Good)
Total 3.5 47% (Average)
Total 4.5 68% (Strong)
Score 4% (Risky)

More stats

Teams

This shows how the model performed in matches with these teams.

Based on 37 past matches

1X2 65% (Good)
Both teams to score 51% (Average)
Total 1.5 89% (Strong)
Total 2.5 65% (Good)
Total 3.5 46% (Average)
Total 4.5 62% (Good)
Score 0% (Risky)

Markets

This shows how often each type of prediction was correct in this league.

1X2 61% (Good)
59 predictions
Both teams to score 62% (Good)
21 predictions
Total 1.5 20% (Weak)
10 predictions
Total 2.5 31% (Weak)
26 predictions
Total 3.5 56% (Good)
41 predictions
Total 4.5 79% (Strong)
57 predictions

Match overview