Prediction of Mona Barthel vs Richel Hogenkamp Head-to-Head, At

Wojtek Kolan

Our Predictions

H2H Records Career Stats

HEAD TO HEAD
M. Barthel vs R. Hogenkamp

Mona Barthel

GER

2

Win

Played

0

Win

Age

1.85m

Height

1.68m

223

C. Rank

Ret.

Best Rank

Total Titles

YTD Titles

$2.3M

Career Money

$542.4K

Right-handed (two-handed backhand)

Plays

Right-handed (two-handed backhand)

Richel Hogenkamp

NED

2

Win

Played

0

Win

Age

1.85m

Height

1.68m

223

C. Rank

Ret.

Best Rank

Total Titles

YTD Titles

$2.3M

Career Money

$542.4K

Right-handed (two-handed backhand)

Plays

Right-handed (two-handed backhand)

Head-to-head: Barthel 2 - 0 Hogenkamp

They have played 5 sets in total, with Mona Barthel winning 4 and Richel Hogenkamp winning 1. The last match between Mona Barthel and Richel Hogenkamp was at the Australian Open - Melbourne, 12-01-2017, Round: Q1, Surface: Hard, with Mona Barthel getting the victory 6-2 6-1.

Players	Head To Head Match Wins
Barthel	2
Hogenkamp	0

Last 2 H2H Matches:

(Q1) Australian Open - Melbourne(01-12-17)

Stats

Mona Barthel

Richel Hogenkamp

(R2) Kristinehamn(06-21-10)

Stats

Mona Barthel

Richel Hogenkamp

M. Barthel vs R. Hogenkamp H2H Profile

M. Barthel	Stats	R. Hogenkamp
$2,250,458	Career Prize Money	$542,444
55.28% (497-402)	Career Total W/L	59.48% (414-282)
1	Clay	0
1	Hard	0
12	Titles	16
2	Total H2H Matches	0
0% (0-0)	YTD Win/Loss	0% (0-0)

M. Barthel vs R. Hogenkamp Match Preview:

Second serve performance recent form: In recent form (last 6 months), Mona Barthel has won 42.40% of points on their second serve, while Richel Hogenkamp has won 0%. There is a high correlation between this stat and match prediction accuracy.
Return game stats recent form: Return stats show Mona Barthel, in recent form, has won 53.24% of their opponent's second serve points, while Richel Hogenkamp has won 0%. The same stats for first serve returns are 28.18% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
Under pressure analysis: Mona Barthel has saved 54.29% of breakpoints in recent form, whereas Richel Hogenkamp has saved 0% which is a useful statistic for in-game betting predictions.
Performance overview: Over the last year Mona Barthel has won 54.00% of matches played (W/L 27/23), with Richel Hogenkamp winning 0% (W/L 0/0) that gives us an overall head-to head prediction overview.
Best surface: Mona Barthel has their best career surface win % on I.hard, winning 65% (W/L 163/89), and worse career win % on Grass, winning 43% (W/L 27/36). Richel Hogenkamp has their best career surface win % on Clay, winning 65% (W/L 215/132), and worse career win % on Grass, winning 42% (W/L 14/19).
Player level: In the last year, Mona Barthel has played most of their matches on the Challengers/ITF tournaments > $10K, winning 58.70% of matches (W/L 27/19), where as Richel Hogenkamp has played most of their matches on the N/A, winning 0% of matches (W/L 0/0). 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 Mona Barthel winning 2 times and Richel Hogenkamp being victorious 0 times. They have played 5 sets in total, with Mona Barthel winning 4 and Richel Hogenkamp winning 1.
The last match between Mona Barthel and Richel Hogenkamp was at the Australian Open - Melbourne, 12-01-2017, Round: Q1, Surface: Hard, with Mona Barthel getting the victory 6-2 6-1.
Head to head match duration: In past head to head matches, the average match time between these players has been 0:27:0.
Opponent quality stats: Over the last 12 months, Mona Barthel has played against opponents with an average rank of 243.82 while Richel Hogenkamp has played against players with an average rank of 0.
Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Mona Barthel has won 56% of deciding sets over the last 12 months, while Richel Hogenkamp has won 0% in all matches played on tour.
Break point conversion: In recent form, Mona Barthel has converted 36.19% of breakpoint opportunities, and Richel Hogenkamp has converted 0% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.

Mona Barthel vs Richel Hogenkamp Editorial Preview By TennisTipster88.

M. Barthel vs R. Hogenkamp H2H Stats Used In Our Predictions

M. Barthel	Stats	R. Hogenkamp
2	H2H Matches Won	0
4	Sets Won	1
28	Games Won	18
3	Aces (Total)	0
3	Total Double Faults	5
0:27:0	Average Match Time	0:27:0
70% (38/54)	1st Serve %	48% (20/42)
79% (30/38)	1st Serve Win %	65% (13/20)
38% (6/16)	2nd Serve Win %	23% (5/22)
56% (5/9)	Break Pts Won %	11% (1/9)
57% (24/42)	Return Points Win %	33% (18/54)
100% (2/2)	Best‑of‑3 Win %	0% (0/2)
100% (1/1)	Deciding Set Win %	0% (0/1)
100% (2/2)	1st Set Won, Won Match	0% (0/0)
0% (0/2)	1st Set Won, Lost Match	0% (0/0)
0% (0/0)	1st Set Lost, Won Match	0% (0/2)

Recent Performance Stats

M. Barthel Recent Matches Played

OPPONENT	RESULT	SCORE	H2H
W75 Trnava - 24-11-2025
R1 Weronika EwaldW. Ewald	L	6-4 6-4	Stats
W75 Petange - 17-11-2025
QF Maria TimofeevaM. Timofeeva	L	6-3 6-0	Stats
R2 Lucia BronzettiL. Bronzetti	W	6-3 6-3	Stats
R1 Ekaterina OvcharenkoE. Ovcharenko	W	6-0 6-1	Stats
W75 Glasgow - 27-10-2025
SF Daria SnigurD. Snigur	L	2-6 6-4 6-4	Stats

View All

R. Hogenkamp Recent Matches Played

OPPONENT	RESULT	SCORE	H2H
W60 Madrid - 13-06-2022
R2 Guiomar Zuleta De RealesG. Zuleta	L	7-6(8) 6-2	Stats
Libema Open - 's-Hertogenbosch - 06-06-2022
Q1 Olivia GadeckiO. Gadecki	L	6-3 6-4	Stats
French Open - Paris - 23-05-2022
Q1 Yuki NaitoY. Naito	L	6-4 6-2	Stats
W60 Pretoria - 28-03-2022
QF Anastasia TikhonovaA. Tikhonova	L	6-2 6-3	Stats
R2 Ekaterina ReyngoldE. Reyngold	W	6-4 4-6 6-1	Stats

View All

M. Barthel vs R. Hogenkamp Stats Breakdown Vs All H2H Opponents

M. Barthel	Stats	R. Hogenkamp
55.28% (497/402)	YTD Win/Loss	59.48% (414/282)
54.28% (1135/956)	Sets Win/Loss	57.27% (914/682)
52.20% (10196/9337)	Games Win/Loss	52.35% (7695/7005)
51.29% (139/132)	Hard Win/Loss	57.31% (98/73)
54.18% (162/137)	Clay Win/Loss	61.96% (215/132)
63.53% (169/97)	Indoor Hard W/L	60.00% (87/58)
42.86% (27/36)	Grass Win/Loss	42.42% (14/19)
0.32	Aces Per Game	0.09
3071	Aces Total	646
0.41	Double Faults Per Game	0.22
3911	Total Double Faults	1564
1:14:23	Average Match Time	1st Match
482.38	Average Opponent Rank	585.63
58% (30885/53184)	1st Serve %	59% (16729/28277)
67% (20648/30885)	1st Serve Win %	62% (10425/16729)
44% (9843/22288)	2nd Serve Win %	46% (5300/11548)
45% (2804/6202)	Break Points Won % (Total)	47% (1708/3597)
44% (23138/52620)	Return Points Win %	45% (12635/27988)
41.11% (37/53)	Slam W/L	53.52% (38/33)
47.00% (47/53)	Masters W/L	40.00% (2/3)
66.67% (2/1)	Cups W/L	50.00% (8/8)
54.84% (153/126)	Main Tour W/L	50.91% (56/54)
59.38% (228/156)	Challenger W/L	61.19% (287/182)
69.77% (30/13)	Futures W/L	92.00% (23/2)
55% (488/884)	Best of 3 Sets Win %	60% (409/684)
100% (2/2)	Best of 5 Sets Win %	100% (2/2)
46% (110/238)	Tiebreaks Win % (Total)	47% (67/142)
51% (156/304)	Deciding Set Win %	58% (122/212)
84% (490/411)	1st Set Won, Won Match	89% (391/349)
16% (490/78)	1st Set Won, Lost Match	11% (391/42)
21% (409/85)	1st Set Lost, Won Match	21% (305/63)