Federico Cina vs Chak Lam Coleman Wong Head-to-Head Stats, Results & Performance Comparison

Analyzing the second serve performance over the past six months reveals that Wong has a slight edge, winning 47.66% of points compared to Cina's 45.85%. This measure is often indicative of a player’s ability to maintain composure and effectiveness during rallies, and is crucial for predicting match outcomes with accuracy.

Furthermore, examining the return game statistics, Cina holds a slight advantage, winning 46.84% of their opponents' second serve points compared to Wong's 43.02%. When evaluating first serve returns, Cina also excels with a 27.09% success rate, while Wong trails with 22.68%. These figures not only inform match predictions but are also essential for evaluating head-to-head matchups.

Under pressure, Wong has saved 55.5% of breakpoints, which is slightly superior to Cina's 53.95%. This capability to minimize losses during crucial moments makes Wong a more reliable pick for those considering in-game betting.

The overall performance from the past year depicts Cina as the more successful player, winning 62.75% of her matches, whereas Wong has achieved a 51.35% win rate. This individual win-loss record contributes significantly to head-to-head predictions.

Both players have shown Hard Courts as their preferred surface, with Wong winning 59% of their matches on this surface compared to Cina's 62%. However, Wong struggles significantly on Grass, with a 0% win rate, while Cina's weakest performance is on Clay with a 54% success rate.

When considering the player level, Wong has predominantly participated in the Challengers/ITF tournaments, achieving a 53.7% win rate. On the other hand, Cina has mostly engaged in Futures/Satellites/ITF tournaments, boasting an impressive 77.78% success rate. Differences in the competitive level of their usual tournaments should be contemplated when predicting match favorites.

Regarding opponent caliber, Wong has confronted competitors with an average rank of 243.09, a significantly higher level than Cina’s opponents, who average 317.53 in rank. This disparity is an important metric to account for, as it speaks to the level of competition each player is accustomed to.

In scenarios where a match extends to a deciding set, Cina displays marginally better performance, winning 64% of these sets compared to Wong's 60% over the past year. This information is invaluable for those interested in betting on live matches, especially if the match appears closely contested.

Breaking down the breakpoint conversion, Cina converts 33.58% of opportunities, demonstrating an advanced ability to capitalize on advantageous situations, whereas Wong converts at a rate of 23.31%. These metrics frequently guide live betting predictions, especially during crucial breakpoint scenarios.

All statistical indicators, from recent form to surface success rate and breakpoint conversion, position Cina as the statistical favorite to win this matchup against Wong. However, attentive observation of ongoing event performance should not be overlooked during this assessment.