US OPEN ATP • ROUND OF 128 • HARD • PLAYED SEP 1, 2026
Martin Damm vs Frances Tiafoe: Result & Final Score
78%people predicted · before the match22%
Settled at 100% · $787.0K traded across 25 markets
FINAL · Damm 6-4 4-6 3-6 6-3 6-4
FINALSEP 1, 2026final score


Match Summary
How the match was won, set by set – the better number on each line is marked.
Martin Damm beat Frances Tiafoe 6-4 4-6 3-6 6-3 6-4: 12 aces, 3 of 9 break points, 50% of all points. Priced at 78% before the match.
MATCHSET 1SET 2SET 3SET 4SET 5


12
Aces
28
6
Double faults
11
54%
1st serve in
57%
64/8575%
1st serve points won
73/8982%
39/7155%
2nd serve points won
30/6844%
3/933%
Break points won
2/633%
4/667%
Break points saved
6/967%
39
Winners
72
29
Unforced errors
64
21/2972%
Net points won
32/4670%
54/15734%
Return points won
53/15634%
157/31350%
Total points won
156/31350%
22/2492%
Service games won
21/2488%
187 km/h
Avg 1st serve speed
197 km/h
142 km/h
Avg 2nd serve speed
168 km/h
2,275 m
Distance covered
2,199 m


2
Aces
4
0
Double faults
0
58%
1st serve in
62%
14/2264%
1st serve points won
13/1681%
10/1662%
2nd serve points won
5/1050%
1/1100%
Break points won
0/20%
2/2100%
Break points saved
0/10%
8
Winners
18
6
Unforced errors
15
3/3100%
Net points won
7/978%
8/2631%
Return points won
14/3837%
32/6450%
Total points won
32/6450%
5/5100%
Service games won
4/580%
418 m
Distance covered
447 m


1
Aces
7
1
Double faults
1
65%
1st serve in
72%
12/1771%
1st serve points won
16/1889%
6/967%
2nd serve points won
4/757%
–
Break points won
1/1100%
0/10%
Break points saved
–
5
Winners
12
4
Unforced errors
6
4/580%
Net points won
6/6100%
5/2520%
Return points won
8/2532%
22/5044%
Total points won
28/5056%
4/580%
Service games won
5/5100%
397 m
Distance covered
370 m


3
Aces
6
4
Double faults
3
61%
1st serve in
47%
14/1974%
1st serve points won
15/2171%
4/1233%
2nd serve points won
13/2454%
0/40%
Break points won
1/1100%
0/10%
Break points saved
4/4100%
10
Winners
17
10
Unforced errors
14
6/875%
Net points won
8/1362%
17/4538%
Return points won
13/3142%
35/7646%
Total points won
41/7654%
3/475%
Service games won
5/5100%
474 m
Distance covered
468 m


3
Aces
5
1
Double faults
4
38%
1st serve in
55%
12/1486%
1st serve points won
15/1883%
12/2352%
2nd serve points won
4/1527%
1/250%
Break points won
0/20%
2/2100%
Break points saved
1/250%
10
Winners
14
5
Unforced errors
16
6/875%
Net points won
5/1050%
14/3342%
Return points won
13/3735%
38/7054%
Total points won
32/7046%
5/5100%
Service games won
3/475%
496 m
Distance covered
485 m


3
Aces
6
0
Double faults
3
54%
1st serve in
57%
12/1392%
1st serve points won
14/1688%
7/1164%
2nd serve points won
4/1233%
1/250%
Break points won
–
–
Break points saved
1/250%
6
Winners
11
4
Unforced errors
13
2/540%
Net points won
6/875%
10/2836%
Return points won
5/2520%
30/5357%
Total points won
23/5343%
5/5100%
Service games won
4/580%
490 m
Distance covered
429 m
Players
Ranking, season record, form and the basics side by side.
Martin Damm leads the head-to-head 2–0· completed tour-level meetings, this match included
No. 90
World ranking
No. 12
697
Ranking points
2,680
30–24
2026 record
42–16
–
Last 5 matches
W
54
Age
28
188 cm
Height
188 cm
🇨🇿 Czech Republic
Country
United States 🇺🇸
1990
Turned pro
2015
Past Match-ups
Their most recent completed meetings, latest first.
| Date | Tournament | Winner | Score |
|---|---|---|---|
| AUG 27, 2025 | US Open | ![]() |
6-4 7-5 6-7(8) 7-5 |
News & Insights
What is happening around Martin Damm vs Frances Tiafoe – headlines from our approved sources, links go to the source.
Insights
FAQ
What does 0% for Martin Damm mean?
It is the live Polymarket price for a share that pays out if Martin Damm beats Frances Tiafoe. Read it as the market’s probability estimate: 0 in 100. It moves with every trade.
How did this market settle?
The market closed once the result was official and paid $1 a share to everyone holding the winner. The percentages on this page are the closing prices.
How much was traded on this match?
$787.0K has been traded across all 25 markets on this event so far.
Where do these numbers come from?
Straight from Polymarket’s public market data – Predictionist reads the same order book traders use. We refresh this page every hour and never adjust the numbers.









