Prediction of Jesper De Jong [94th] vs Charles Broom [316th] Head-to-Head At The 1970
By Wojtek Kolan
Form
L W W W L W L W W L
Form
W L L L L L L L L LHead To Head: Jong 2 - 0 Broom
They have played 4 sets in total, with Jong winning 4 and Broom winning 0. The last match between Jong and Broom was at the Grodzisk Mazowiecki Challenger, 16-08-2023, Second, Hard with Jesper De Jong getting the victory 6-4 6-4.
| Players | Head-To-Head Match Wins |
|---|---|
| Jesper De Jong | 2 |
| Charles Broom | 0 |
| Jong | Stats | Broom |
|---|---|---|
| 54% (13-11) | YTD Win/Loss | 0% (0-7) |
| 2 | Head-to-Head | 0 |
| 94 | Ranking | 316 |
| 94 | Highest Rank | 235 |
| 24 | Age | 26 |
| R | Plays | R |
| 7 | Titles | 5 |
| 63% (266-158) | Career Total W/L | 61% (226-146) |
| $526,725 | Career Prize Money | $39,970 |
| 0 | YTD Titles | 0 |
| 1 | Hard H2H | 0 |
| 1 | Clay H2H | 0 |
| 0 | Indoor H2H | 0 |
| 0 | Grass H2H | 0 |
Recent Performance Stats (Last 6 Months)
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 6-4 6-4 |
Stats 
Jesper De Jong
Player
Charles Broom
60%
(
44 of
73)
1st Serve %
58%
(
38 of
65)
7
Aces
4
2
Double Faults
3
66%
(
29 of
44)
1st Serve Won
68%
(
26 of
38)
55%
(
16 of
29)
2nd Serve Won
41%
(
11 of
27)
40%
(
4 of
10)
Break Points Won
20%
(
2 of
10)
38%
(
28 of
73)
Rtn Points Won
43%
(
28 of
65)
73
Total Points Won
65
|
||||
| 6-2 6-3 |
Stats
Jesper De Jong
Player
Charles Broom
61%
(
43 of
70)
1st Serve %
64%
(
29 of
45)
2
Aces
2
2
Double Faults
3
70%
(
30 of
43)
1st Serve Won
59%
(
17 of
29)
52%
(
14 of
27)
2nd Serve Won
38%
(
6 of
16)
80%
(
4 of
5)
Break Points Won
10%
(
1 of
10)
37%
(
26 of
70)
Rtn Points Won
49%
(
22 of
45)
66
Total Points Won
49
|
||||
| Stats | ||
|---|---|---|
| 2 | H2H Matches | 0 |
| 4 | Sets Won | 0 |
| 24 | Games Won | 13 |
| 9 | Aces (Total) | 6 |
| 4 | Total Double Faults | 6 |
| 1:34:24 | Average Match Time | 1:34:24 |
| 61% (87/143) | 1st Serve % | 61% (67/110) |
| 68% (59/87) | 1st Serve Win % | 64% (43/67) |
| 54% (30/56) | 2nd Serve Win % | 40% (17/43) |
| 53% (8/15) | Break Points Won % (Total) | 15% (3/20) |
| 45% (50/110) | Return Points Win % | 38% (54/143) |
| 100% (2/2) | Best of 3 Sets Win % | 0% (0/2) |
| 0% (0/0) | Best of 5 Sets Win % | 0% (0/0) |
| 0% (0/0) | Tiebreaks Win % (Total) | 0% (0/0) |
| 0% (0/0) | Deciding Set Win % | 0% (0/0) |
| 100% (2/2) | 1st Set Won, Won Match | 0% (0/0) |
| 0% (2/0) | 1st Set Won, Lost Match | 0% (0/0) |
| 0% (0/0) | 1st Set Lost, Won Match | 0% (2/0) |
Currently displayed stats includes matches of all levels. To exclude lower level events (as per ATP / WTA official stats) toggle button in page footer.
Jesper De Jong vs Charles Broom Important H2H Prediction Stats:
Head-to-head: Jong 2 - 0 Broom
- Second serve performance recent form: In recent form (last 6 months), Jong has won 46.38% of points on their second serve, while Broom has won 44.14%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Jong, in recent form, has won 42.98% of their opponent's second serve points, while Broom has won 51.18%. The same stats for first serve returns are 23.84% and 23.93% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Jong has saved 55.14% of breakpoints in recent form, whereas Broom has saved 63.38% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Jong has won 64.47% of matches played (W/L 49/ 27), with Broom winning 49.15% (W/L 29/ 30) that gives us an overall head-to head prediction overview.
- Best surface: Jong has their best career surface win % on Hard, winning 67% (W/L 87/ 43), and worse career win % on Grass, winning 36% (W/L 4/ 7). Broom has their best career surface win % on Clay, winning 67% (W/L 44/ 22), and worse career win % on I.hard, winning 57% (W/L 59/ 44).
- Player level: In the last year, Jong has played most of their matches on the Challengers/ITF tournaments > $10K, winning 65.96% of matches (W/L 31/ 16), where as Broom has played most of their matches on the Challengers/ITF tournaments > $10K, winning 43.33% of matches (W/L 13/ 17). When comparing stats between players to predict the favorite, it is of course all relative to the event level they have been playing at.
- Direct H2H matches: They have played 2 times before with Jong winning 2 times and Broom being victorious 0 times. They have played 4 sets in total, with Jong winning 4 and Broom winning 0. The last match between Jong and Broom was at the Grodzisk Mazowiecki Challenger, 16-08-2023, Second, Hard with Jesper De Jong getting the victory 6-4 6-4.
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:34:24.
- Deciding set H2H prediction: Jong and Broom have played a deciding set 0 times, with Jong winning 0 times and Broom 0 times. Very useful for predicting the outcome if this match goes the distance.
- Head-to-Head extreme pressure situations: They have played 0 tiebreaks against each other with Jong winning 0, and Broom 0.
- Opponent quality stats: Over the last 12 months, Jong has played against opponents with an average rank of 258.25 while Broom has played against players with an average rank of 262.1.
- Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Jong has won 57% of deciding sets over the last 12 months, while Broom has won 42% in all matches played on tour.
- Current event H2H stats: Past player performance is very useful in predicting tennis matches, but once an event is under way we should also look at current event stats for in form player indication, so check the section below (if they have played a match in the current event). Some players also perform better at certain events and this should be taken into account when picking the outcome.
- Break point conversion: In recent form, Jong has converted 28.57% of breakpoint opportunities, and Broom has converted 33.73% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.
- If you are interested in models that predict tennis matches, this article is a good start (Warning: Stats geeks only)
Jesper De Jong vs Charles Broom Best Odds For The Match
Jesper De Jong Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Andrey Rublev
Player
Jesper De Jong
52%
(
22 of
42)
1st Serve %
60%
(
29 of
48)
3
Aces
2
1
Double Faults
3
77%
(
17 of
22)
1st Serve Won
48%
(
14 of
29)
60%
(
12 of
20)
2nd Serve Won
42%
(
8 of
19)
83%
(
5 of
6)
Break Points Won
50%
(
1 of
2)
31%
(
13 of
42)
Rtn Points Won
54%
(
26 of
48)
55
Total Points Won
35
|
6-1 6-3 | H2H | ||
| QF |
Stats
Jesper De Jong
Player
Arthur Rinderknech
57%
(
37 of
65)
1st Serve %
77%
(
48 of
62)
7
Aces
1
2
Double Faults
0
78%
(
29 of
37)
1st Serve Won
63%
(
30 of
48)
68%
(
19 of
28)
2nd Serve Won
57%
(
8 of
14)
40%
(
2 of
5)
Break Points Won
0%
(
0 of
1)
26%
(
17 of
65)
Rtn Points Won
39%
(
24 of
62)
72
Total Points Won
55
|
6-3 7-5 | H2H | ||
| Q1 |
Stats
Jesper De Jong
Player
Lloyd Harris
63%
(
45 of
72)
1st Serve %
58%
(
42 of
72)
3
Aces
5
0
Double Faults
1
71%
(
32 of
45)
1st Serve Won
71%
(
30 of
42)
67%
(
18 of
27)
2nd Serve Won
40%
(
12 of
30)
29%
(
2 of
7)
Break Points Won
20%
(
1 of
5)
31%
(
22 of
72)
Rtn Points Won
42%
(
30 of
72)
80
Total Points Won
64
|
6-3 7-6(0) | H2H | ||
| R2 |
Stats
Kamil Majchrzak
Player
Jesper De Jong
62%
(
33 of
53)
1st Serve %
49%
(
28 of
57)
3
Aces
2
1
Double Faults
4
79%
(
26 of
33)
1st Serve Won
64%
(
18 of
28)
75%
(
15 of
20)
2nd Serve Won
48%
(
14 of
29)
38%
(
3 of
8)
Break Points Won
100%
(
1 of
1)
23%
(
12 of
53)
Rtn Points Won
44%
(
25 of
57)
66
Total Points Won
44
|
7-6(3) 6-1 | H2H | ||
| R1 |
Stats
Jesper De Jong
Player
Elliot Benchetrit
56%
(
25 of
45)
1st Serve %
57%
(
42 of
74)
3
Aces
3
1
Double Faults
2
92%
(
23 of
25)
1st Serve Won
67%
(
28 of
42)
85%
(
17 of
20)
2nd Serve Won
38%
(
12 of
32)
30%
(
3 of
10)
Break Points Won
0%
(
0 of
0)
11%
(
5 of
45)
Rtn Points Won
46%
(
34 of
74)
74
Total Points Won
45
|
7-5 6-1 | H2H | ||
| SF |
Stats
Marin Cilic
Player
Jesper De Jong
60%
(
50 of
84)
1st Serve %
71%
(
37 of
52)
4
Aces
6
1
Double Faults
1
70%
(
35 of
50)
1st Serve Won
78%
(
29 of
37)
53%
(
18 of
34)
2nd Serve Won
40%
(
6 of
15)
100%
(
2 of
2)
Break Points Won
0%
(
0 of
11)
37%
(
31 of
84)
Rtn Points Won
33%
(
17 of
52)
70
Total Points Won
66
|
6-4 6-4 | H2H | ||
| QF |
Stats
Jesper De Jong
Player
Sebastian Ofner
58%
(
53 of
91)
1st Serve %
54%
(
49 of
90)
5
Aces
3
2
Double Faults
5
79%
(
42 of
53)
1st Serve Won
59%
(
29 of
49)
45%
(
17 of
38)
2nd Serve Won
51%
(
21 of
41)
45%
(
5 of
11)
Break Points Won
38%
(
3 of
8)
35%
(
32 of
91)
Rtn Points Won
44%
(
40 of
90)
99
Total Points Won
82
|
4-6 6-1 7-5 | H2H | ||
| R2 |
Stats
Jesper De Jong
Player
Filip Misolic
69%
(
31 of
45)
1st Serve %
71%
(
34 of
48)
3
Aces
0
1
Double Faults
0
77%
(
24 of
31)
1st Serve Won
59%
(
20 of
34)
64%
(
9 of
14)
2nd Serve Won
43%
(
6 of
14)
80%
(
4 of
5)
Break Points Won
0%
(
0 of
1)
27%
(
12 of
45)
Rtn Points Won
46%
(
22 of
48)
55
Total Points Won
38
|
6-3 6-1 | H2H | ||
| R1 |
Stats
Jesper De Jong
Player
Titouan Droguet
61%
(
41 of
67)
1st Serve %
50%
(
31 of
62)
1
Aces
6
1
Double Faults
3
73%
(
30 of
41)
1st Serve Won
71%
(
22 of
31)
54%
(
14 of
26)
2nd Serve Won
39%
(
12 of
31)
43%
(
3 of
7)
Break Points Won
0%
(
0 of
3)
34%
(
23 of
67)
Rtn Points Won
45%
(
28 of
62)
72
Total Points Won
57
|
6-3 6-2 | H2H | ||
| F |
Stats
Carlos Taberner
Player
Jesper De Jong
75%
(
73 of
97)
1st Serve %
64%
(
51 of
80)
3
Aces
13
1
Double Faults
3
77%
(
56 of
73)
1st Serve Won
80%
(
41 of
51)
29%
(
7 of
24)
2nd Serve Won
45%
(
13 of
29)
57%
(
4 of
7)
Break Points Won
60%
(
3 of
5)
35%
(
34 of
97)
Rtn Points Won
33%
(
26 of
80)
89
Total Points Won
88
|
7-6(3) 4-6 6-2 | H2H | ||
view more
Charles Broom Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Edward Winter
Player
Charles Broom
63%
(
52 of
83)
1st Serve %
68%
(
69 of
101)
7
Aces
2
1
Double Faults
2
73%
(
38 of
52)
1st Serve Won
65%
(
45 of
69)
52%
(
16 of
31)
2nd Serve Won
50%
(
16 of
32)
7%
(
1 of
15)
Break Points Won
33%
(
1 of
3)
35%
(
29 of
83)
Rtn Points Won
40%
(
40 of
101)
94
Total Points Won
90
|
7-6(4) 7-6(4) | H2H | ||
| R1 |
Stats
Jagger Leach
Player
Charles Broom
64%
(
56 of
88)
1st Serve %
66%
(
48 of
73)
8
Aces
7
2
Double Faults
4
71%
(
40 of
56)
1st Serve Won
67%
(
32 of
48)
44%
(
14 of
32)
2nd Serve Won
64%
(
16 of
25)
100%
(
3 of
3)
Break Points Won
25%
(
2 of
8)
39%
(
34 of
88)
Rtn Points Won
34%
(
25 of
73)
79
Total Points Won
82
|
6-4 3-6 6-3 | H2H | ||
| R1 |
Stats
Richard Gasquet
Player
Charles Broom
61%
(
47 of
77)
1st Serve %
67%
(
45 of
67)
11
Aces
11
1
Double Faults
0
77%
(
36 of
47)
1st Serve Won
69%
(
31 of
45)
57%
(
17 of
30)
2nd Serve Won
59%
(
13 of
22)
22%
(
2 of
9)
Break Points Won
13%
(
1 of
8)
31%
(
24 of
77)
Rtn Points Won
34%
(
23 of
67)
76
Total Points Won
68
|
6-3 7-6(4) | H2H | ||
| R1 |
Stats
Aziz Dougaz
Player
Charles Broom
67%
(
69 of
103)
1st Serve %
68%
(
88 of
129)
11
Aces
7
2
Double Faults
4
81%
(
56 of
69)
1st Serve Won
74%
(
65 of
88)
47%
(
16 of
34)
2nd Serve Won
49%
(
20 of
41)
8%
(
1 of
13)
Break Points Won
100%
(
1 of
1)
30%
(
31 of
103)
Rtn Points Won
34%
(
44 of
129)
116
Total Points Won
116
|
7-5 3-6 7-6(3) | H2H | ||
| R1 |
Stats
Marek Gengel
Player
Charles Broom
61%
(
34 of
56)
1st Serve %
51%
(
25 of
49)
6
Aces
2
1
Double Faults
4
76%
(
26 of
34)
1st Serve Won
44%
(
11 of
25)
41%
(
9 of
22)
2nd Serve Won
29%
(
7 of
24)
55%
(
6 of
11)
Break Points Won
25%
(
2 of
8)
38%
(
21 of
56)
Rtn Points Won
63%
(
31 of
49)
66
Total Points Won
39
|
6-1 6-2 | H2H | ||
| R1 |
Stats
Bernard Tomic
Player
Charles Broom
70%
(
61 of
87)
1st Serve %
71%
(
60 of
85)
13
Aces
7
4
Double Faults
3
75%
(
46 of
61)
1st Serve Won
63%
(
38 of
60)
35%
(
9 of
26)
2nd Serve Won
60%
(
15 of
25)
25%
(
2 of
8)
Break Points Won
38%
(
3 of
8)
37%
(
32 of
87)
Rtn Points Won
38%
(
32 of
85)
87
Total Points Won
85
|
6-1 0-6 7-6(3) | H2H | ||
| Q1 |
Stats
Daniel Altmaier
Player
Charles Broom
61%
(
49 of
80)
1st Serve %
70%
(
38 of
54)
10
Aces
2
6
Double Faults
5
78%
(
38 of
49)
1st Serve Won
58%
(
22 of
38)
29%
(
9 of
31)
2nd Serve Won
25%
(
4 of
16)
50%
(
5 of
10)
Break Points Won
20%
(
2 of
10)
41%
(
33 of
80)
Rtn Points Won
52%
(
28 of
54)
75
Total Points Won
59
|
7-5 6-1 | H2H | ||
| R1 |
Stats
Antoine Ghibaudo
Player
Charles Broom
59%
(
36 of
61)
1st Serve %
67%
(
43 of
64)
4
Aces
1
6
Double Faults
7
69%
(
25 of
36)
1st Serve Won
58%
(
25 of
43)
48%
(
12 of
25)
2nd Serve Won
14%
(
3 of
21)
67%
(
6 of
9)
Break Points Won
67%
(
4 of
6)
39%
(
24 of
61)
Rtn Points Won
56%
(
36 of
64)
73
Total Points Won
52
|
6-3 7-5 | H2H | ||
| R2 |
Stats
Filip Duda
Player
Charles Broom
52%
(
40 of
77)
1st Serve %
64%
(
52 of
81)
11
Aces
8
3
Double Faults
6
80%
(
32 of
40)
1st Serve Won
69%
(
36 of
52)
49%
(
18 of
37)
2nd Serve Won
38%
(
11 of
29)
36%
(
5 of
14)
Break Points Won
50%
(
2 of
4)
35%
(
27 of
77)
Rtn Points Won
42%
(
34 of
81)
84
Total Points Won
74
|
6-1 4-6 6-3 | H2H | ||
| R1 |
Stats
Charles Broom
Player
Quinn Vandecasteele
51%
(
30 of
59)
1st Serve %
54%
(
45 of
83)
1
Aces
6
3
Double Faults
5
67%
(
20 of
30)
1st Serve Won
58%
(
26 of
45)
55%
(
16 of
29)
2nd Serve Won
37%
(
14 of
38)
46%
(
6 of
13)
Break Points Won
43%
(
3 of
7)
39%
(
23 of
59)
Rtn Points Won
52%
(
43 of
83)
79
Total Points Won
63
|
7-5 6-3 | H2H | ||
view more
Where To Watch Jong vs Broom?
When the match starts we will have live scores and stats on this page. For live streaming at TV channels of this match, see our ATP and WTA worldwide viewing pages. Free trial live streaming of Jong Vs Broom is now available here.
Stats Breakdown Vs All H2H Opponents
| Stats | ||
|---|---|---|
| 63% (266/158) | Win/Loss | 61% (226/146) |
| 60% (586/383) | Sets Win/Loss | 58% (512/364) |
| 55% (5014/4177) | Games Win/Loss | 54% (4443/3847) |
| 0.38 | Aces Per Game | 0.39 |
| 1703 | Aces Total | 1572 |
| 0.24 | Double Faults Per Game | 0.23 |
| 1079 | Total Double Faults | 926 |
| 1:39:23 | Average Match Time | 1:26:31 |
| 285.23 | Average Opponent Rank | 238.7 |
| 60% (17194/28557) | 1st Serve % | 62% (13177/21376) |
| 70% (12043/17194) | 1st Serve Win % | 70% (9224/13177) |
| 51% (5790/11363) | 2nd Serve Win % | 50% (4095/8198) |
| 43% (1313/3067) | Break Points Won % (Total) | 41% (937/2303) |
| 41% (11957/28817) | Return Points Win % | 41% (9195/22609) |
| 63% (254/405) | Best of 3 Sets Win % | 61% (224/369) |
| 57% (4/7) | Best of 5 Sets Win % | 50% (1/2) |
| 51% (74/144) | Tiebreaks Win % (Total) | 50% (58/117) |
| 52% (65/124) | Deciding Set Win % | 53% (70/131) |
| 89% (260/231) | 1st Set Won, Won Match | 86% (218/187) |
| 11% (260/29) | 1st Set Won, Lost Match | 14% (218/31) |
| 20% (164/33) | 1st Set Lost, Won Match | 25% (154/39) |
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If you are looking to predict tennis or soccer matches, Matchstat.com has you covered! We have league, player and team stats, and specialise in detailed h2h stats between tennis players or soccer teams.
All our predictions are based on machine learning and AI. Matchstat is designed to help you in your analysis and predictions but the responsibility for your final predictions are your own.
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