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

Wojtek Kolan

Wojtek Kolan

Published on 23 Apr at 05:35 AM UTC

HEAD TO HEAD

F. Cina vs C. Lam Coleman Wong

Federico Cina
Federico Cina

Flag ITA ITA

w
l
w
l
l
w
l
l
l
l
Chak Lam Coleman Wong
Chak Lam Coleman Wong

Flag HKG HKG

w
w
w
w
l
l
l
l
w
l

1

Win

1

Played

0

Win

18
Age
21
-
Height
-
226
C. Rank
158
202
Best Rank
128
0
Total Titles
0
0
YTD Titles
0
$92.5K
Career Money
$539.0K
-
Plays
-

Head-to-head: Cina 1 - 0 Wong

They have played 2 sets in total, with Federico Cina winning 2 and Chak Lam Coleman Wong winning 0. The last match between Federico Cina and Chak Lam Coleman Wong was at the Mutua Madrid Open - Madrid, 23-04-2025, Round: R1, Surface: Clay, with Federico Cina getting the victory 7-6(5) 6-1.

PlayersHead To Head Match Wins
Cina1
Wong0
Last 1 H2H Matches:

(R1Mutua Madrid Open - Madrid(04-23-25)

Clay
ITA Flag
Federico Cina
7
6
HKG Flag
Chak Lam Coleman Wong
6
1

F. Cina vs C. L. C. Wong H2H Profile

Stats
$92,460Career Prize Money$538,970
57.01% (61-46)Career Total W/L55.28% (157-127)
1Clay0
2Titles2
1Total H2H Matches0
33.33% (2-4)YTD Win/Loss45.45% (5-6)

F. Cina vs C. L. C. Wong Match Preview:

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.

Federico Cina vs Chak Lam Coleman Wong Editorial Preview By TennisTipster88.

F. Cina vs C. L. C. Wong H2H Stats Used In Our Predictions

Stats
1H2H Matches Won0
2Sets Won0
13Games Won7
1Aces (Total)2
1:18:58Average Match Time1:18:58
67% (42/63)1st Serve %71% (41/58)
76% (32/42)1st Serve Win %68% (28/41)
71% (15/21)2nd Serve Win %59% (10/17)
50% (2/4)Break Pts Won %0% (0/2)
34% (20/58)Return Points Win %25% (16/63)
100% (1/1)Best‑of‑3 Win %0% (0/1)
100% (1/1)1st Set Won, Won Match0% (0/0)
0% (0/1)1st Set Won, Lost Match0% (0/0)
0% (0/0)1st Set Lost, Won Match0% (0/1)

Recent Performance Stats

2nd Serve Win %: Cina 49%, Wong 51%.
Opp 2nd Serve Pts Won: Cina 53%, Wong 48%.
Break Points Saved %: Cina 60%, Wong 59%.

F. Cina Recent Matches Played

OPPONENTRESULTSCOREH2H
I.hardEuropean Open - Brussels - 13-10-2025

R1

BIHD. Dzumhur
L
6-7(5) 6-2 7-6(3)
HardHersonissos 5 Challenger - 06-10-2025

R1

ESPI. Montes-De
L
6-3 6-1
I.hardMouilleron-Le-Captif Challenger - 29-09-2025

R1

GERR. Strombachs
L
7-6(6) 6-4
I.hardRennes Challenger - 08-09-2025

R2

BELM. Geerts
L
6-2 7-6(4)

R1

FRAL. Poullain
W
6-1 6-3

C. L. C. Wong Recent Matches Played

OPPONENTRESULTSCOREH2H
HardJinan Challenger - 06-10-2025

R2

RUSP. Bar
L
6-4 6-7(5) 7-6(5)

R1

SRBL. Djere
W
7-6(10) 6-2
HardShanghai Rolex Masters - Shanghai - 29-09-2025

Q1

AUSJ. Murray
L
7-6(4) 6-3
HardChina Open - Beijing - 22-09-2025

Q1

FRAA. Cazaux
L
4-6 6-2 7-6(5)
HardChengdu Open - Chengdu - 15-09-2025

R1

JPNT. Daniel
L
6-3 6-2
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F. Cina vs C. L. C. Wong Stats Breakdown Vs All H2H Opponents

Stats
57.01% (61/46)YTD Win/Loss55.28% (157/127)
56.49% (135/104)Sets Win/Loss53.68% (357/308)
52.24% (1191/1089)Games Win/Loss51.09% (3295/3154)
61.02% (36/23)Hard Win/Loss58.69% (125/88)
54.55% (24/20)Clay Win/Loss46.51% (20/23)
25.00% (1/3)Indoor Hard W/L42.86% (6/8)
0% (0/0)Grass Win/Loss42.86% (6/8)
0.24Aces Per Game0.51
272Aces Total1596
0.24Double Faults Per Game0.19
273Total Double Faults585
1:39:38Average Match Time1:31:43
340.15Average Opponent Rank364.51
61% (4440/7291)1st Serve %60% (10905/18030)
69% (3053/4440)1st Serve Win %71% (7743/10905)
50% (1421/2851)2nd Serve Win %49% (3477/7125)
43% (323/757)Break Points Won % (Total)41% (676/1663)
41% (3004/7377)Return Points Win %38% (6950/18108)
50.00% (1/1)Slam W/L53.33% (8/7)
40.00% (2/3)Masters W/L46.67% (7/8)
0% (0/0)Cups W/L62.50% (5/3)
0.00% (0/1)Main Tour W/L27.27% (3/8)
52.00% (26/24)Challenger W/L54.39% (62/52)
65.31% (32/17)Futures W/L59.50% (72/49)
57% (60/105)Best of 3 Sets Win %54% (150/276)
0% (0/0)Best of 5 Sets Win %83% (5/6)
67% (26/39)Tiebreaks Win % (Total)54% (53/98)
48% (13/27)Deciding Set Win %54% (49/91)
85% (62/53)1st Set Won, Won Match87% (149/129)
15% (62/9)1st Set Won, Lost Match13% (149/20)
18% (45/8)1st Set Lost, Won Match20% (135/27)

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