Statistics / Football / Malaysia. Super League

Malaysia Malaysia Super League Statistics (24)

Predictions

Super League 2025/26 Season Overview

08-08
100%
05-15
  • League goals trend: Average goals per match 3.29
  • Home win rate: About 40%
  • Away win rate: About 37%
  • BTTS rate (both teams to score): About 49%
  • Over 2.5 average hit rate: About 60%
  • Most attacking teams: Johor Darul Takzim FC
  • Best defensive teams: Johor Darul Takzim FC
Malaysia Malaysia. Super League (24)
xG Accuracy
May 17
12:15
Kuching FA Kuching FA
1 1.45 0 1.25
Kuala Lumpur FA Kuala Lumpur FA
63%
May 17
12:15
Selangor Selangor
6 1.45 0 1.25
Pdrm Pdrm
20%
May 16
13:00
Imigresen Imigresen
1 1.45 1 1.25
Melaka Melaka
82%
May 16
13:00
Negeri Sembilan Negeri Sembilan
2 1.45 1 1.25
Kelantan United Kelantan United
80%
May 15
11:30
Sabah FA Sabah FA
0 1.45 1 1.25
Terengganu Terengganu
63%
May 15
09:00
Penang Penang
2 1.45 1 1.25
DPMM FC Brunei DPMM FC Brunei
80%
May 10
13:00
Kelantan United Kelantan United
1 1.45 14 1.25
Johor Darul Takzim FC Johor Darul Takzim FC
3%
May 10
12:15
Kuala Lumpur FA Kuala Lumpur FA
2 1.45 2 1.25
Negeri Sembilan Negeri Sembilan
70%
May 09
12:30
Melaka Melaka
1 1.45 3 1.25
Kuching FA Kuching FA
55%
May 09
12:15
DPMM FC Brunei DPMM FC Brunei
0 1.45 1 1.25
Sabah FA Sabah FA
63%
May 08
13:00
Terengganu Terengganu
1 1.45 3 1.25
Imigresen Imigresen
55%
May 08
13:00
Pdrm Pdrm
1 1.45 1 1.25
Penang Penang
82%
May 03
13:00
Imigresen Imigresen
3 1.45 1 1.25
DPMM FC Brunei DPMM FC Brunei
61%
May 03
13:00
Negeri Sembilan Negeri Sembilan
0 1.45 0 1.25
Melaka Melaka
48%
May 02
13:00
Selangor Selangor
4 1.45 0 1.25
Penang Penang
35%
May 02
12:15
Johor Darul Takzim FC Johor Darul Takzim FC
7 1.45 0 1.25
Kuala Lumpur FA Kuala Lumpur FA
15%
May 02
11:30
Sabah FA Sabah FA
5 1.45 1 1.25
Pdrm Pdrm
35%
Apr 28
13:00
Melaka Melaka
1 1.45 2 1.25
Johor Darul Takzim FC Johor Darul Takzim FC
72%
Apr 26
09:00
Penang Penang
0 1.45 0 1.25
Sabah FA Sabah FA
48%
Apr 25
13:00
Terengganu Terengganu
2 1.45 2 1.25
Negeri Sembilan Negeri Sembilan
70%
Apr 25
12:15
DPMM FC Brunei DPMM FC Brunei
2 1.45 2 1.25
Kuching FA Kuching FA
70%
Apr 25
09:00
Pdrm Pdrm
0 1.45 5 1.25
Imigresen Imigresen
24%
Apr 24
13:00
Kelantan United Kelantan United
0 1.45 6 1.25
Selangor Selangor
18%
Apr 23
12:15
Melaka Melaka
1 1.45 0 1.25
Sabah FA Sabah FA
63%

Malaysia Super League Betting & Prediction Guides

Want to understand how AI identifies value in Malaysia Super League matches? Explore our strategy guides:

Super League Predictions FAQ

Q1: What defines the probability structure and upset patterns in the Malaysia Super League 2025/26? ▼
The Malaysia Super League 2025/26 presents a remarkably narrow competitive gap compared to typical top-flight European competitions. While many leagues show a dominant home bias, the MSL’s slim 5% difference between home (42%) and away (37%) win rates suggests that travel fatigue and local atmosphere play a lesser role than raw squad quality. This parity forces a flatter odds structure, where away favorites are more common and reliable than in more geographically stretched leagues.

Upset patterns here are driven by high-scoring volatility rather than defensive stalemates. With a staggering 3.24 goals per game, matches frequently spiral beyond tactical control. Analysis must prioritize offensive output over traditional home-field advantage, as probability never guarantees a result. Long-term success requires identifying where the 37% away win rate is undervalued by those overestimating the stadium factor. Risk management remains essential in such a high-scoring environment.
Q2: How does the Over/Under and BTTS structure differ in the Malaysia Super League 2025/26? ▼
The Malaysia Super League 2025/26 is structurally unique, featuring an unusually high Over 2.5 rate of 60% alongside a sub-50% BTTS rate. In most European leagues, high-scoring games are usually driven by both teams finding the net, but the MSL’s 47% BTTS rate reveals a "blowout" identity. Matches often see one dominant side rack up multiple goals while keeping a clean sheet. This creates a divergence where the Over 2.5 market is heavily favored, yet "BTTS: No" remains a statistically frequent outcome.

This scoring profile suggests that defensive collapses are common, rather than end-to-end shootouts. When 3.24 goals per game are being scored but less than half of matches see both teams score, the data points toward lopsided scorelines. Finding an edge requires looking past the high goal average to see which teams possess the defensive discipline to maintain that 53% "No" BTTS trend. Probability is not certainty, so maintaining a focus on long-term value and strict risk management is vital.
Q3: How does the specific data profile of the Malaysia Super League 2025/26 shape the odds and analytical edges? ▼
Because the Malaysia Super League 2025/26 maintains a tiny 5% home-away win gap, the odds often inflate home prices unnecessarily. Unlike leagues where home advantage is a pillar of the pricing, the MSL’s 37% away win rate compresses the spreads, making away favorites statistically more viable. The 60% Over 2.5 rate further complicates the lines, as the high 3.24 goals per game average forces the total goals line higher, often leaving room to exploit the 47% BTTS "No" outcome in lopsided matchups.

Models find an edge by identifying teams that contribute to the high goal average without conceding, bucking the trend of most high-scoring leagues. Since probability is never a guarantee, the goal is to find where the 42% home win rate is overvalued relative to the league’s inherent parity. Success depends on recognizing these specific scoring imbalances while practicing disciplined risk management. Long-term results rely on these nuanced statistical fingerprints rather than generic league averages.
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