Chak Pong Marco Lam vs Sanhui ShinPrediction, Head-to-Head Results, and Stats
Upcoming match
- Tournament
- Seoul Challenger
- Level
- ATP Challenger Tour
- Round
- 1st Round
- Surface
- Hard
- Date & time
- October 27 · 2:55 AM ET
Chak Pong Marco Lam and Sanhui Shin meet in the 1st Round of the Seoul Challenger on October 27 on hard court. The two have never faced each other. Lam comes in unranked while Shin sits at number 625.
Lam has won four of his last five matches and posted a 70% win rate on hard courts. Shin has taken six of his last ten matches and holds a 55% hard court record. Both players arrive in Seoul after losses, though Lam played five times in the past 14 days compared to Shin's two matches in that span.
Lam relies on his serve as a primary weapon and builds points off the first delivery; he will need to land serves early to avoid extended baseline exchanges. Shin operates as a retriever who thrives on reading opponents and redirecting pace, meaning he benefits when rallies extend and rhythm breaks down. The outcome will depend on whether Lam can shorten points or whether Shin can sustain long exchanges.
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Spread & Straight-Sets Form
Completed best-of-3 matches · Last 12 months
| Indicator | Pong Marco Lam | Shin | ||
|---|---|---|---|---|
| Indicator | Chak Pong Marco Lam | Sanhui Shin | ||
| Wins in straight sets | 70% | 28/40 | 75% | 21/28 |
| Wins a set when losing | 52% | 14/27 | 29% | 7/24 |
| Goes to a deciding set | 39% | 26/67 | 27% | 14/52 |
| Covers −1.5 sets as favorite | 15% | 2/13 | 54% | 14/26 |
| Covers +1.5 sets as underdog | 67% | 4/6 | 39% | 7/18 |
| Tiebreak sets won | 70% | 21/30 | 43% | 3/7 |
| Wins after taking set 1 | 81% | 34/42 | 89% | 24/27 |
| Wins 2-0 after taking set 1 | 67% | 28/42 | 78% | 21/27 |
Colored rows are higher-is-better: green above 50%, red below. Favorite/underdog set by book odds; cover rows count only matches with odds on record.
Style Matchup
Playing styles and historical archetype record
Lam
🤖 Servebot
Shin
🪃 Counterpuncher
Matchup analysis
The 🤖 Servebot archetype wins about 55% vs 🪃 Counterpuncher across 3,392 matches in our dataset: a stylistic lean toward Chak Pong Marco Lam.
Servebot players often use high ace rate and dominant service to pressure the counterpuncher's elite bp conversion.
Previous meetings
First career meeting
Lam and Shin have never faced each other on tour.
Prop Research
Hit rates on common betting markets · Last 90 days
| Outcome | Lam | Shin | ||
|---|---|---|---|---|
| Outcome | Chak Pong Marco Lam | Sanhui Shin | ||
| 1 or more | 100% | 18/18 | 100% | 8/8 |
| 3 or more | 100% | 18/18 | 38% | 3/8 |
| 5 or more | 100% | 18/18 | 13% | 1/8 |
| 10 or more | 78% | 14/18 | 0% | 0/8 |
| 15 or more | 33% | 6/18 | 0% | 0/8 |
| 20 or more | 11% | 2/18 | 0% | 0/8 |
Player ROI
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Lam | Shin |
|---|---|---|
| W-L | 7–5 | 5–4 |
| Avg odds | 2.25 | 1.70 |
| ROI % | -6.2% | -17.4% |
| Units P/L | -0.74u | -1.57u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Travel
Last 30 days
| Metric | Lam | Shin |
|---|---|---|
| Countries | 1 | — |
| Events | 2 | — |
| Matches | 4 | — |
| Distance | 103 mi · 165 km | — |
| Route | CHN | — |
Host country from each tournament in the last 30 days, including the current event even when a player arrived on a bye. Route is the order of countries visited; consecutive stops in the same country are shown once. Distance is the great-circle total between host cities, shown only when every stop in the window is geocoded. A rough fatigue signal, not a headline stat.
Common opponents
Results vs. opponents both players faced · Last 12 months
Lam has a higher win rate against shared opponents (80% vs Shin's 60%).
| Opponent | Lam | Shin |
|---|---|---|
| Yi Zhou | W 76 63 | L 67 06 |
| Kasidit Samrej | W 46 63 64 | W 64 67 64 |
| Juan Alejandro Hernandez | W 63 62 | W 63 64 |
| Akira Santillan | L 46 26 | W 63 64 |
| Rio Noguchi | W 76 62 | L 16 46 |
Recent Form
Last five matches per player
Tristan Schoolkate
Guangzhou Challenger · Final
Oct 25
Yi Zhou
Guangzhou Challenger · Semifinals
Oct 24
Jay Dylan Hara Friend
Guangzhou Challenger · Quarterfinals
Oct 23
Kasidit Samrej
Guangzhou Challenger · 2nd Round
Oct 21
Jake Delaney
Guangzhou Challenger · 1st Round
Oct 19
Quentin Halys
Shanghai Rolex Masters - Shanghai · 1st Round
Oct 7
Lloyd Harris
Shanghai Rolex Masters - Shanghai · 3rd Round Qualifying
Oct 6
Cruz Hewitt
Shanghai Rolex Masters - Shanghai · 1st Round Qualifying
Oct 5
Christian Langmo
Seoul Challenger · 3rd Round Qualifying
Oct 26
Jesse Delaney
Seoul Challenger · 1st Round Qualifying
Oct 25
Chase Ferguson
M25 Sapporo · Quarterfinals
Sep 11
Saki Tange
M25 Sapporo · 2nd Round
Sep 10
Kaede Katayama
M25 Sapporo · 1st Round
Sep 8
Yan Cheng Chen
M25 Taipei · 2nd Round
Aug 27
Akira Santillan
M25 Taipei · 1st Round
Aug 26
Ryuki Matsuda
M25 Taipei · 1st Round
Aug 18
Win rate
Matches, sets and games won · Last 12 months · 52–69 matches
| Metric | Lam | Shin |
|---|---|---|
| Matches won | 58% | 54% |
| Sets won | 57% | 53% |
| Games won | 51% | 52% |