Ace matchups

ATP Challenger aces per match and aces allowed

PickFinder Team•Updated: Nov 2, 2026

For tennis aces props, read both players. Borna Gojo hits the most aces on the ATP Challenger tour at 11.6 per match, against an average of 4.1. Kaichi Uchida gets aced the most, 8.3 per match and 0.76 per return game, while Luciano Emanuel Ambrogi gets aced the least at 0.11 per return game. Reading both sides predicted the last 12 weeks of aces better than the server alone, with a correlation of 0.69 instead of 0.63.

ATP Challenger aces per match: 4.1
Most aces: Borna Gojo: 11.6
Most allowed per return game: Kaichi Uchida: 0.76
Fewest allowed per return game: Luciano Emanuel Ambrogi: 0.11

Most aces per match, ATP Challenger

Borna GojoWorld No. 133	11.6
Marat SharipovWorld No. 226	10.7
Niels ViskerWorld No. 418	10.5
Chak Lam Coleman WongWorld No. 85	10.5
Petr Bar BiryukovWorld No. 268	10.2
Alexander Donski	9.5
Luka PavlovicWorld No. 203	9.0
Tristan SchoolkateWorld No. 143	8.9
James McCabeWorld No. 256	8.7
Felix BalshawWorld No. 180	8.5

Ace magnets, ATP Challenger

Kaichi UchidaWorld No. 401	8.3 a match
Andre IlaganWorld No. 200	8.4 a match
Fajing SunWorld No. 287	7.9 a match
Karl PolingWorld No. 453	7.6 a match
Bernard TomicWorld No. 181	7.7 a match
Rodrigo Pacheco MendezWorld No. 255	6.8 a match
Daniel MasurWorld No. 365	6.8 a match
Hiroki MoriyaWorld No. 455	6.7 a match
Charles BroomWorld No. 264	6.6 a match
Tristan SchoolkateWorld No. 143	6.9 a match

Ace walls, ATP Challenger

Luciano Emanuel AmbrogiWorld No. 335	1.1 a match
Dali BlanchWorld No. 323	1.3 a match
Franco AgamenoneWorld No. 364	1.3 a match
Valerio AboianWorld No. 258	1.7 a match
Lautaro MidonWorld No. 185	1.7 a match
David Jorda SanchisWorld No. 199	1.7 a match
Gerard Campana LeeWorld No. 445	1.6 a match
Franco RoncadelliWorld No. 261	1.7 a match
Juan Manuel La sernaWorld No. 254	2.0 a match
Kilian FeldbauschWorld No. 262	1.8 a match

ATP Challenger matches only, kept apart from the main tour so the numbers compare like with like. Minimum 40 finished matches in the last 52 weeks.

Does the returner really change the ace count?

Aces allowed: first 26 weeks vs last 26 (correlation): 0.61
Aces hit: first 26 weeks vs last 26 (correlation): 0.81
Predicting aces from the server alone, last 12 weeks: 0.63
Server and returner together, last 12 weeks: 0.69

Yes. Aces allowed repeat from one half of the year to the next, and reading both sides predicted the last 12 weeks of aces with an average miss of 2.06 aces, against 2.21 from the server alone, over 4,187 player matches. Rates came only from matches before those weeks.

What the returner does to the top ATP Challenger servers

Estimated aces over an average 11 service games: the server's rate, times the returner's index, times service games. The index is pulled toward 100 first, because only part of it repeats (correlation 0.61). A rough read for sizing an ace line, not a prediction.

Estimated aces for top ATP Challenger servers against the biggest ace magnet, an average returner and the biggest ace wall

Borna GojoWorld No. 133	18.2	11.0	6.2
Marat SharipovWorld No. 226	17.5	10.6	6.0
Niels ViskerWorld No. 418	16.6	10.0	5.7
Chak Lam Coleman WongWorld No. 85	16.6	10.0	5.7
Petr Bar BiryukovWorld No. 268	15.1	9.1	5.2
Alexander Donski	14.6	8.8	5.0
Luka PavlovicWorld No. 203	14.8	8.9	5.1
Tristan SchoolkateWorld No. 143	13.0	7.8	4.4
James McCabeWorld No. 256	13.9	8.4	4.7
Felix BalshawWorld No. 180	12.6	7.6	4.3

Aces hit against aces allowed

ATP Challenger aces hit and allowed per game, last 52 weeks, 170 players. Dashed lines mark the average of the players shown.

ATP Challenger aces hit and allowed, sorted by aces per match

ATP Challenger aces hit and aces allowed by player, last 52 weeks

1	Borna GojoWorld No. 133	11.6	1.00	273	4.5	0.39	107	40
2	Marat SharipovWorld No. 226	10.7	0.96	261	4.1	0.39	105	45
3	Niels ViskerWorld No. 418	10.5	0.91	249	4.4	0.39	107	44
4	Chak Lam Coleman WongWorld No. 85	10.5	0.91	248	5.1	0.45	122	43
5	Petr Bar BiryukovWorld No. 268	10.2	0.83	226	4.7	0.39	108	48
6	Alexander Donski	9.5	0.80	218	4.4	0.38	103	46
7	Luka PavlovicWorld No. 203	9.0	0.81	220	3.1	0.27	75	42
8	Tristan SchoolkateWorld No. 143	8.9	0.71	193	6.9	0.56	154	46
9	James McCabeWorld No. 256	8.7	0.76	207	4.1	0.35	96	43
10	Felix BalshawWorld No. 180	8.5	0.69	188	3.5	0.28	77	42
11	James Kent TrotterWorld No. 464	8.3	0.70	190	3.9	0.34	91	44
12	Titouan DroguetWorld No. 79	8.0	0.67	181	3.9	0.33	89	41
13	Keegan SmithWorld No. 192	7.5	0.60	164	5.0	0.40	110	64
14	Darwin BlanchWorld No. 139	7.4	0.62	169	4.3	0.37	100	57
15	Daniel MasurWorld No. 365	7.4	0.65	177	6.8	0.60	162	41
16	Sascha Gueymard WayenburgWorld No. 187	7.3	0.64	175	3.5	0.32	87	60
17	Alafia ayeniWorld No. 434	7.2	0.65	176	3.1	0.29	78	46
18	Mark LajalWorld No. 167	7.1	0.60	165	4.0	0.34	93	55
19	Stefanos SakellaridisWorld No. 129	7.0	0.60	163	3.0	0.26	70	51
20	Aidan MayoWorld No. 285	7.0	0.59	160	4.1	0.35	95	49
21	August HolmgrenWorld No. 267	6.9	0.59	160	4.3	0.36	99	52
22	Rei SakamotoWorld No. 123	6.9	0.61	167	4.4	0.38	105	44
23	Ilia SimakinWorld No. 148	6.8	0.56	152	3.7	0.31	84	59
24	Christian LangmoWorld No. 473	6.8	0.59	162	4.1	0.35	96	57
25	Facundo MenaWorld No. 196	6.7	0.61	167	3.2	0.29	79	59
26	Kaichi UchidaWorld No. 401	6.6	0.61	166	8.3	0.76	208	43
27	Matteo MartineauWorld No. 244	6.4	0.52	140	4.4	0.36	99	58
28	Joel Josef SchwaerzlerWorld No. 172	6.4	0.52	142	6.0	0.49	134	51
29	Hynek BartonWorld No. 277	6.3	0.55	150	2.0	0.18	49	67
30	Matej DodigWorld No. 138	6.3	0.53	146	3.5	0.30	82	59
31	Calvin HemeryWorld No. 274	6.1	0.52	142	4.6	0.40	109	48
32	Michael MmohWorld No. 149	6.1	0.56	154	3.4	0.31	85	41
33	Daniil GlinkaWorld No. 161	6.0	0.53	144	3.9	0.34	93	63
34	Daniel MilavskyWorld No. 307	6.0	0.54	146	5.4	0.47	129	45
35	Bernard TomicWorld No. 181	6.0	0.48	132	7.7	0.62	170	40
36	Tom GentzschWorld No. 165	5.8	0.49	135	3.7	0.32	87	60
37	Tyler ZinkWorld No. 441	5.8	0.52	141	4.7	0.42	114	51
38	Thiago Seyboth WildWorld No. 109	5.8	0.54	146	4.0	0.38	103	49
39	Stefano TravagliaWorld No. 159	5.7	0.50	136	4.4	0.38	105	49
40	Nicolas MejiaWorld No. 115	5.6	0.49	135	6.2	0.55	151	41
41	Jay Dylan Hara FriendWorld No. 252	5.5	0.47	128	4.7	0.40	110	49
42	Quinn VandecasteeleWorld No. 472	5.5	0.49	133	2.8	0.26	71	48
43	Ugo BlanchetWorld No. 334	5.5	0.47	128	5.6	0.49	134	40
44	Charles BroomWorld No. 264	5.3	0.48	130	6.6	0.59	160	49
45	Akira SantillanWorld No. 332	5.3	0.49	133	3.9	0.38	102	46
46	Filippo RomanoWorld No. 240	5.1	0.46	124	2.7	0.25	67	57
47	Mitsuki Wei Kang LeongWorld No. 408	5.0	0.46	126	4.3	0.41	113	46
48	Edas ButvilasWorld No. 209	4.9	0.43	116	3.3	0.29	78	56
49	Mathys ErhardWorld No. 374	4.9	0.43	117	3.6	0.31	85	55
50	Henri SquireWorld No. 312	4.9	0.43	118	5.3	0.48	130	50
51	Rodrigo Pacheco MendezWorld No. 255	4.9	0.44	120	6.8	0.61	165	48
52	Maxime Janvier	4.9	0.41	111	4.4	0.37	100	41
53	David Jorda SanchisWorld No. 199	4.8	0.43	118	1.7	0.16	43	60
54	Valerio AboianWorld No. 258	4.8	0.43	118	1.7	0.15	41	57
55	Norbert GombosWorld No. 372	4.7	0.42	116	4.2	0.38	103	55
56	Francesco FortiWorld No. 322	4.7	0.41	113	2.7	0.24	66	51
57	Remy BertolaWorld No. 222	4.7	0.41	113	4.4	0.39	106	49
58	Sergey FominWorld No. 293	4.7	0.42	115	6.1	0.55	149	43
59	Andre IlaganWorld No. 200	4.6	0.40	108	8.4	0.72	195	60
60	Carlo Alberto CaniatoWorld No. 306	4.6	0.41	113	4.6	0.42	115	45
61	Ilya IvashkaWorld No. 223	4.6	0.42	114	4.3	0.40	108	41
62	Miguel TobonWorld No. 432	4.5	0.39	106	3.1	0.27	75	52
63	Yuta ShimizuWorld No. 405	4.5	0.40	108	5.1	0.44	120	51
64	Igor MarcondesWorld No. 279	4.5	0.40	109	4.3	0.38	104	47
65	Martin KrumichWorld No. 302	4.4	0.38	105	3.4	0.29	79	67
66	Dali BlanchWorld No. 323	4.4	0.41	111	1.3	0.12	33	57
67	Matias SotoWorld No. 260	4.4	0.41	110	5.6	0.52	142	42
68	Benjamin HassanWorld No. 459	4.3	0.38	104	3.4	0.31	84	45
69	Daniel Elahi GalanWorld No. 355	4.3	0.36	99	3.5	0.29	80	44
70	Enrico Dalla ValleWorld No. 309	4.2	0.40	108	2.6	0.24	66	74
71	Tung-lin WuWorld No. 376	4.2	0.38	104	5.9	0.54	148	46
72	Federico ArnaboldiWorld No. 473	4.2	0.37	100	4.1	0.37	101	44
73	Duje AjdukovicWorld No. 381	4.2	0.38	104	2.4	0.21	57	43
74	Clement TaburWorld No. 156	4.2	0.34	94	5.7	0.47	127	43
75	Juan Pablo VarillasWorld No. 202	4.1	0.37	101	4.5	0.41	111	62
76	Daniel RinconWorld No. 234	4.1	0.37	101	2.9	0.25	69	44
77	Liam DraxlWorld No. 168	4.1	0.37	101	5.3	0.47	128	43
78	Thiago MonteiroWorld No. 233	4.0	0.34	92	4.5	0.38	102	46
79	Maks KasnikowskiWorld No. 211	3.9	0.36	98	4.9	0.44	119	65
80	Gustavo HeideWorld No. 112	3.9	0.38	102	2.9	0.28	76	58
81	Buvaysar GadamauriWorld No. 266	3.9	0.33	91	3.1	0.27	74	54
82	Toby SamuelWorld No. 97	3.9	0.37	100	2.0	0.20	54	51
83	Alexandr BindaWorld No. 460	3.9	0.37	101	4.9	0.47	127	44
84	Petr NesterovWorld No. 286	3.9	0.34	93	2.6	0.23	63	44
85	Hayato MatsuokaWorld No. 247	3.8	0.34	92	4.2	0.37	101	73
86	Lorenzo GiustinoWorld No. 272	3.8	0.32	86	3.4	0.28	78	56
87	Taro DanielWorld No. 178	3.8	0.36	98	5.6	0.52	143	45
88	Felix GillWorld No. 228	3.8	0.32	87	5.3	0.45	124	45
89	Fajing SunWorld No. 287	3.7	0.33	89	7.9	0.68	186	56
90	Zsombor PirosWorld No. 101	3.7	0.33	90	3.2	0.30	81	53
91	Justin BoulaisWorld No. 439	3.7	0.34	94	3.6	0.33	90	40
92	Jonas ForejtekWorld No. 308	3.6	0.31	84	3.1	0.27	73	56
93	Jay ClarkeWorld No. 241	3.6	0.31	84	4.1	0.35	97	52
94	Alexis GalarneauWorld No. 195	3.6	0.31	83	5.8	0.50	135	48
95	Andres MartinWorld No. 359	3.5	0.30	81	3.7	0.31	84	46
96	Svyatoslav GulinWorld No. 407	3.3	0.32	86	2.1	0.20	55	52
97	Evan ZhuWorld No. 467	3.3	0.29	79	3.2	0.28	77	42
98	Max Hans RehbergWorld No. 248	3.2	0.28	77	3.7	0.32	87	47
99	Alejandro Moro CanasWorld No. 238	3.1	0.26	71	3.1	0.26	72	58
100	Clement ChidekhWorld No. 131	3.1	0.28	77	5.8	0.54	146	57
101	Liam BroadyWorld No. 212	3.1	0.28	75	4.4	0.40	110	51
102	Garrett JohnsWorld No. 451	3.1	0.28	76	3.7	0.33	90	44
103	Oriol Roca-BatallaWorld No. 290	3.1	0.29	79	2.5	0.24	64	44
104	Lautaro MidonWorld No. 185	3.0	0.26	71	1.7	0.15	42	56
105	Pol Martin TiffonWorld No. 210	3.0	0.28	75	4.2	0.38	104	51
106	Franco Ribero	3.0	0.28	77	2.7	0.26	71	47
107	Tiago PereiraWorld No. 318	3.0	0.25	69	3.0	0.25	69	41
108	Marvin MoellerWorld No. 227	3.0	0.26	72	3.5	0.31	83	41
109	Marco CecchinatoWorld No. 183	2.9	0.25	69	2.8	0.25	69	59
110	Maxim MrvaWorld No. 231	2.8	0.25	67	2.2	0.20	54	59
111	Kimmer CoppejansWorld No. 225	2.8	0.26	70	2.9	0.27	73	53
112	Abdullah ShelbayhWorld No. 311	2.8	0.25	68	4.1	0.37	100	49
113	Dane SweenyWorld No. 114	2.8	0.25	67	5.8	0.51	140	42
114	Luciano Emanuel AmbrogiWorld No. 335	2.8	0.28	75	1.1	0.11	29	41
115	Andrej MartinWorld No. 351	2.8	0.26	70	2.6	0.24	65	40
116	Sandro KoppWorld No. 294	2.7	0.24	65	4.4	0.39	107	47
117	Stefan KozlovWorld No. 271	2.6	0.23	63	3.6	0.32	86	54
118	Joao Lucas Da SilvaWorld No. 177	2.6	0.24	66	4.2	0.39	107	54
119	Henrique RochaWorld No. 99	2.6	0.23	63	2.5	0.22	61	46
120	Timofey SkatovWorld No. 201	2.6	0.24	67	5.5	0.52	140	46
121	Mika BrunoldWorld No. 184	2.6	0.24	64	3.2	0.29	79	44
122	Andres AndradeWorld No. 229	2.5	0.23	64	3.3	0.30	82	61
123	Facundo Diaz AcostaWorld No. 72	2.5	0.22	60	2.5	0.23	63	61
124	Hugo DellienWorld No. 111	2.5	0.23	62	2.2	0.21	56	53
125	Raul BrancaccioWorld No. 221	2.5	0.22	59	3.6	0.31	85	49
126	Samuele PieriWorld No. 315	2.5	0.22	59	2.5	0.21	58	46
127	Lukas NeumayerWorld No. 155	2.4	0.22	59	5.7	0.51	139	53
128	Pedro Boscardin DiasWorld No. 300	2.4	0.23	63	2.1	0.20	54	50
129	Eduardo RibeiroWorld No. 360	2.4	0.22	60	2.1	0.19	53	48
130	Gerard Campana LeeWorld No. 445	2.4	0.23	62	1.6	0.16	43	45
131	Chun-Hsin TsengWorld No. 230	2.4	0.23	63	3.2	0.30	82	41
132	Hiroki MoriyaWorld No. 455	2.3	0.21	56	6.7	0.60	164	56
133	Gonzalo VillanuevaWorld No. 325	2.3	0.21	57	2.7	0.24	66	55
134	Karl PolingWorld No. 453	2.3	0.19	53	7.6	0.64	174	45
135	Zdenek KolarWorld No. 206	2.2	0.20	54	3.8	0.35	95	62
136	Denis YevseyevWorld No. 474	2.2	0.20	55	4.2	0.38	105	60
137	Alvaro Guillen MezaWorld No. 392	2.2	0.18	50	2.3	0.19	51	43
138	Lucio RattiWorld No. 371	2.2	0.20	54	2.5	0.22	61	40
139	Matheus Pucinelli De AlmeidaWorld No. 197	2.1	0.18	50	2.2	0.20	54	53
140	Lucas PoullainWorld No. 327	2.1	0.20	55	3.2	0.30	82	40
141	Dimitar KuzmanovWorld No. 363	2.0	0.20	53	3.4	0.33	90	64
142	Inaki Montes-De La TorreWorld No. 191	2.0	0.20	53	3.2	0.31	84	46
143	Andrea GuerrieriWorld No. 166	1.9	0.17	47	4.8	0.43	117	60
144	Alejo Sanchez QuilezWorld No. 324	1.9	0.18	49	2.9	0.28	77	55
145	Alex BarrenaWorld No. 224	1.9	0.18	48	2.1	0.19	53	54
146	Masamichi ImamuraWorld No. 437	1.9	0.18	50	5.2	0.50	137	50
147	Frederico Ferreira SilvaWorld No. 297	1.9	0.17	46	4.5	0.40	108	48
148	Nikolas Sanchez IzquierdoWorld No. 151	1.8	0.16	44	2.5	0.22	61	60
149	Juan Manuel La sernaWorld No. 254	1.8	0.16	44	2.0	0.17	47	59
150	Juan Carlos Prado AngeloWorld No. 193	1.8	0.16	44	2.3	0.20	56	51
151	Cezar CretuWorld No. 269	1.8	0.18	49	2.2	0.23	61	47
152	Omar JasikaWorld No. 329	1.8	0.16	44	5.0	0.46	124	43
153	Franco AgamenoneWorld No. 364	1.7	0.15	41	1.3	0.12	32	51
154	Carlos Sanchez JoverWorld No. 331	1.7	0.15	42	3.2	0.28	77	49
155	Manas DhamneWorld No. 391	1.7	0.14	39	4.4	0.37	100	44
156	Andrej NedicWorld No. 246	1.6	0.15	42	2.3	0.22	59	49
157	Sumit NagalWorld No. 265	1.6	0.14	39	4.1	0.36	99	43
158	Michele RibecaiWorld No. 284	1.5	0.14	37	4.4	0.39	108	65
159	Rio NoguchiWorld No. 219	1.4	0.12	34	4.5	0.40	109	58
160	Miguel DamasWorld No. 346	1.4	0.12	34	2.7	0.26	70	56
161	Kilian FeldbauschWorld No. 262	1.4	0.13	35	1.8	0.17	45	41
162	Guido Ivan JustoWorld No. 186	1.3	0.13	34	2.0	0.19	51	76
163	Nicolas KickerWorld No. 340	1.2	0.12	33	3.3	0.32	86	50
164	Gonzalo BuenoWorld No. 198	1.1	0.10	27	2.3	0.21	57	54
165	Juan Bautista TorresWorld No. 314	1.0	0.09	25	2.1	0.19	52	59
166	Genaro Alberto OlivieriWorld No. 257	1.0	0.08	23	2.1	0.19	51	48
167	Ivan Marrero CurbeloWorld No. 386	1.0	0.09	24	4.2	0.38	104	42
168	Max Alcala GurriWorld No. 130	0.8	0.08	21	2.0	0.20	55	46
169	Deigo Dedura-PalomeroWorld No. 188	0.7	0.07	19	2.2	0.21	56	59
170	Franco RoncadelliWorld No. 261	0.5	0.05	13	1.7	0.16	43	54

Using ace matchups on a prop

Start with the server
Borna Gojo hits 1 aces per service game. That is a serve index of 273, where 100 is the ATP Challenger average of 0.37.
Check who is returning
Kaichi Uchida has a return index of 208, the highest here. Luciano Emanuel Ambrogi has 29, the lowest. A line that ignores the returner ignores that gap.
Multiply it out
Over an average 11 service games, Borna Gojo works out to about 11.0 aces against an average returner, 18.2 against Kaichi Uchida and 6.2 against Luciano Emanuel Ambrogi. The returner's index is pulled toward 100 first, because only part of it repeats (correlation 0.61).
Adjust for the court
Then check the court speed index for this week's event. Aces per match change a lot from clay to grass. Today's line and the hit rate against it are in PickFinder.

How this is counted

Counts finished singles matches, Nov 2, 2025 to Nov 2, 2026. Aces per match is the player's aces divided by matches. Aces allowed are the opponent's aces in those matches. Per-game rates divide by service games played and by the opponent's service games, so a long match doesn't inflate them. Serve and return indexes compare those rates with the ATP Challenger average, set to 100. Retired matches and walkovers are left out. Only ATP Challenger matches count here, qualifying included. Main tour matches have their own view. A player needs 40+ matches to appear. Hard includes indoor hard. The correlations compare the first 26 weeks with the last 26 for players at this level with 80+ games in each, across all surfaces, and the prediction test sets rates only from matches before the last 12 weeks.

Ace matchups FAQ

Who hits the most aces per match on the ATP Challenger tour?

Borna Gojo at 11.6 per match over 40 matches, or 1 per service game. The average is 4.1 per match.

Who gives up the most aces on the ATP Challenger tour?

Kaichi Uchida allows 8.3 aces per match and 0.76 per return game over 43 matches. That is a return index of 208, where 100 is average.

Who is hardest to ace on the ATP Challenger tour?

Luciano Emanuel Ambrogi allows 0.11 aces per return game over 41 matches, a return index of 29.

Are aces allowed a real skill or just luck?

A player's aces allowed in the first 26 weeks correlated 0.61 with the last 26 across 369 players, so it repeats. Aces hit correlated 0.81. Adding the returner moved the average miss on aces from 2.21 to 2.06 over the last 12 weeks.

Why use per-game rates as well as per-match?

Match length moves the count. An average ATP Challenger match has 11 service games per player, and a player who wins quickly serves fewer. Per-game rates take that out.

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PickFinder is a sports betting research tool built for this. For tennis it shows hit rates against today's exact line, matchup data and line movement, and compares prices across 24 books and apps. It covers 30+ leagues in all, with a 3-day money-back guarantee, and we make it, so test it against anything else you use. The rankings on this page are free.

What is PickFinder?

PickFinder is a sports betting research tool for player props, +EV bets, arbitrage, middles and odds comparison. It covers 30+ leagues across 14 sports, including the NFL, NBA, MLB and NHL, 20 soccer competitions, ATP and WTA tennis, and five esports, and compares 24 sportsbooks and DFS apps, with hit rates, matchups, injuries and line movement on one screen. Every plan includes its Discord, with over 50,000 members, an average of three slips posted a day, 24/7 support and a community free of spam. New members get a 3-day money-back guarantee. PickFinder is not a sportsbook and does not take bets.

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