Cambodia Tiger vs Boeung Ket: match statistics

I back the home win (1) due to Cambodia Tiger’s clear offensive superiority at home: Cambodia Tiger averages 2.58 goals per home match with xG 2.12, while Boeung Ket averages 1.54 goals away with xG 1.56. Additionally, the hosts create substantially more chances — 17.92 shots and 5.92 on target per home game versus 12.23 shots and 4.62 on target for the visitors — and conversion rates are 14% vs 13%, enhancing the hosts’ offensive efficiency. On form, Boeung Ket are stronger in the last five matches — 3 wins and 2 draws, averaging 2.2 points per game and 8 goals in the last 5 — whereas the hosts in their last 5 have 2 wins, 1 draw, 2 losses, averaging 1.4 points per game with 7 scored. Defensively the seasonal difference is marginal: the hosts concede 1.17 goals at home on average versus Boeung Ket’s 1.23 conceded away, but in the last 5 matches the visitors have conceded only 4 goals compared to the hosts’ 7. Overall, the advantage in quality of chances and higher home efficiency (xG 2.12 vs 1.56, 17.92 vs 12.23 shots) gives Cambodia Tiger a higher probability of victory, therefore I propose the distribution: 55% home, 25% draw, 20% away.

In my assessment the more likely scenario is 'No' (BTTS - No), because the home side have a very high clean sheet rate this season: 54% of matches without conceding and only 0.46 goals conceded per game on average. Season-long BTTS rates for both teams are low: 38% for Cambodia Tiger and 31% for Boeung Ket, which contrasts with the league average of 56% and suggests these teams less frequently allow both sides to score. However, short-term signals point the other way — in the last 5 matches both teams recorded BTTS in 60% of games, and the home team conceded 1.4 goals on average in those five matches (compared to the seasonal 0.46). The visitors also have superior offensive metrics: 1.54 goals scored this season, 4.62 shots on target per game and xG 1.56, which increases their chance of scoring. Considering the strong seasonal defensive signal from the home team (54% clean sheets) and mixed but short-term offensive indications from the visitors, I forecast 'No' at 60% probability and 'Yes' at 40% as the most justified prediction.

I estimate expected goals at 1.59 for the home team and 1.44 for the away team (total 3.03). These values are derived by averaging seasonal and last-5-match approaches: seasonal xG of the home attack 1.36 and xG conceded by the away side 1.64 yield 1.50, while the last 5 matches give 1.69 and 1.65 respectively (average 1.67), hence the mean 1.59; similarly for the away team seasonal attacking xG 1.56 and xG conceded to the home team 1.36 give 1.46, and the last 5 matches 1.66 and 1.18 give 1.42, averaging to 1.44. Seasonal figures confirm offensive potential: the home side scores 1.15 goals per game, the away side 1.54; in the last 5 matches 1.4 and 1.6 respectively (sum 3.0) and the league goals average of 3.16 indicate a tendency toward 2–3 goal matches. Seasonal over percentages show the home team had over 1.5 in 54% of matches and the away team in 77% (average 65%), therefore I assign a high probability to Over 1.5 (72%). I assess Over 2.5 at 60% (seasonal 23%/54%, last 5 matches 40%/60%), while Over 3.5 remains low (28%) because seasonal values are 8%/31% (average 19.5%); the best market to play is Over 1.5.

The strongest signal concerns the Half-Time result: hosts draw at the break in 62% of their matches, while visitors record a half-time draw in only 31%, which strongly favors a draw at 45 minutes. Over the full match the advantage appears to lie with the visitors: the visitors’ average goals scored is 1.54 per game with xG 1.56, versus the hosts’ 1.15 goals and xG 1.36, so the visitors both create and convert more chances. It is particularly important that the visitors average 1.00 goal in the second half and 100% of their matches have featured at least one goal after the break, whereas the hosts average 0.69 and only 62% of their matches have had a goal after the break, which increases the likelihood that the visitors will turn the game around after half-time. Additionally, in the last five meetings the visitors have won 60% of cases versus 40% for the hosts, therefore the most probable HT/FT scenario is a Half-Time draw with a Full-Time win for the visitors (X/2), although the hosts’ low average goals before the break of 0.46 and 92% of clean sheets for hosts at half-time also leave some chance of a full-time draw.