Prediction of Ekaterina Makarova vs Jamie Loeb Head-to-Head, At

Wojtek Kolan

Our Predictions

H2H Records Career Stats

HEAD TO HEAD
E. Makarova vs J. Loeb

Ekaterina Makarova

RUS

1

Win

Played

0

Win

Age

1.80m

Height

1.68m

Ret.

C. Rank

560

Best Rank

132

Total Titles

YTD Titles

$6.6M

Career Money

$226.3K

Left-handed (two-handed backhand)

Plays

Right-handed (two-handed backhand)

Jamie Loeb

USA

1

Win

Played

0

Win

Age

1.80m

Height

1.68m

Ret.

C. Rank

560

Best Rank

132

Total Titles

YTD Titles

$6.6M

Career Money

$226.3K

Left-handed (two-handed backhand)

Plays

Right-handed (two-handed backhand)

Head-to-head: Makarova 1 - 0 Loeb

They have played 2 sets in total, with Ekaterina Makarova winning 2 and Jamie Loeb winning 0. The last match between Ekaterina Makarova and Jamie Loeb was at the Citi Open - Washington, 01-08-2017, Round: R1, Surface: Hard, with Ekaterina Makarova getting the victory 7-6(4) 6-3.

Players	Head To Head Match Wins
Makarova	1
Loeb	0

Last 1 H2H Matches:

(R1) Citi Open - Washington(08-01-17)

Stats

Ekaterina Makarova

Jamie Loeb

E. Makarova vs J. Loeb H2H Profile

E. Makarova	Stats	J. Loeb
$6,634,741	Career Prize Money	$226,266
55.69% (377-300)	Career Total W/L	53.91% (324-277)
1	Hard	0
4	Titles	11
1	Total H2H Matches	0
0% (0-0)	YTD Win/Loss	0.00% (0-1)

E. Makarova vs J. Loeb Match Preview:

Second serve performance recent form: In recent form (last 6 months), Ekaterina Makarova has won 0% of points on their second serve, while Jamie Loeb has won 38.19%. There is a high correlation between this stat and match prediction accuracy.
Return game stats recent form: Return stats show Ekaterina Makarova, in recent form, has won 0% of their opponent's second serve points, while Jamie Loeb has won 56.91%. The same stats for first serve returns are 0% and 27.72% respectively and this has a high correlation to pick who is favored in this H2H matchup.
Under pressure analysis: Ekaterina Makarova has saved 0% of breakpoints in recent form, whereas Jamie Loeb has saved 52.08% which is a useful statistic for in-game betting predictions.
Performance overview: Over the last year Ekaterina Makarova has won 0% of matches played (W/L 0/0), with Jamie Loeb winning 62.50% (W/L 25/15) that gives us an overall head-to head prediction overview.
Best surface: Ekaterina Makarova has their best career surface win % on Grass, winning 65% (W/L 53/29), and worse career win % on I.hard, winning 48% (W/L 35/38). Jamie Loeb has their best career surface win % on Hard, winning 65% (W/L 190/143), and worse career win % on Grass, winning 32% (W/L 8/17).
Player level: In the last year, Ekaterina Makarova has played most of their matches on the N/A, winning 0% of matches (W/L 0/0), where as Jamie Loeb has played most of their matches on the Challengers/ITF tournaments > $10K, winning 62.16% of matches (W/L 23/14). 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 1 times before with Ekaterina Makarova winning 1 times and Jamie Loeb being victorious 0 times. They have played 2 sets in total, with Ekaterina Makarova winning 2 and Jamie Loeb winning 0.
The last match between Ekaterina Makarova and Jamie Loeb was at the Citi Open - Washington, 01-08-2017, Round: R1, Surface: Hard, with Ekaterina Makarova getting the victory 7-6(4) 6-3.
Head to head match duration: In past head to head matches, the average match time between these players has been 1:32:34.
Opponent quality stats: Over the last 12 months, Ekaterina Makarova has played against opponents with an average rank of 0 while Jamie Loeb has played against players with an average rank of 415.2.
Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Ekaterina Makarova has won 0% of deciding sets over the last 12 months, while Jamie Loeb has won 64% in all matches played on tour.
Break point conversion: In recent form, Ekaterina Makarova has converted 0% of breakpoint opportunities, and Jamie Loeb has converted 39.39% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.

Ekaterina Makarova vs Jamie Loeb Editorial Preview By TennisTipster88.

E. Makarova vs J. Loeb H2H Stats Used In Our Predictions

E. Makarova	Stats	J. Loeb
1	H2H Matches Won	0
2	Sets Won	0
13	Games Won	9
3	Aces (Total)	5
2	Total Double Faults	6
1:32:34	Average Match Time	1:32:34
63% (44/70)	1st Serve %	47% (36/77)
73% (32/44)	1st Serve Win %	67% (24/36)
50% (13/26)	2nd Serve Win %	49% (20/41)
67% (4/6)	Break Pts Won %	33% (2/6)
43% (33/77)	Return Points Win %	36% (25/70)
100% (1/1)	Best‑of‑3 Win %	0% (0/1)
100% (1/1)	1st Set Won, Won Match	0% (0/0)
0% (0/1)	1st Set Won, Lost Match	0% (0/0)
0% (0/0)	1st Set Lost, Won Match	0% (0/1)

Recent Performance Stats

E. Makarova Recent Matches Played

OPPONENT	RESULT	SCORE	H2H
Dubai Duty Free Championships - Dubai - 18-02-2019
R1 Aliaksandra SasnovichA. Sasnovich	L	0-6 7-5 6-4	Stats
St. Petersburg Ladies Trophy - St. Petersburg - 28-01-2019
R1 Vera ZvonarevaV. Zvonareva	L	6-3 6-4	Stats
Australian Open - Melbourne - 14-01-2019
R1 Katie BoulterK. Boulter	L	6-0 4-6 7-6(6)	Stats
Kremlin Cup - Moscow - 15-10-2018
R1 Ons JabeurO. Jabeur	L	6-1 6-2	Stats
China Open - Beijing - 01-10-2018
R1 Garbine MuguruzaG. Muguruza	L	6-0 6-4	Stats

View All

J. Loeb Recent Matches Played

OPPONENT	RESULT	SCORE	H2H
W75 Sumter - 02-06-2025
R1 Unknown PlayerU. Player	L	5-7 6-4 3-1 ret.	Stats
Q3 Emily De OliveiraE. De	W	6-4 6-4	Stats
Q1 Abigail RencheliA. Rencheli	W	6-4 6-3	Stats
W35 Santo Domingo - 26-05-2025
R3 Thaisa Grana PedrettiT. Grana	L	7-6(3) 6-2	Stats
R2 Mariana Isabel Higuita BarrazaM. Isabel	W	6-0 2-6 6-4	Stats

View All

E. Makarova vs J. Loeb Stats Breakdown Vs All H2H Opponents

E. Makarova	Stats	J. Loeb
55.69% (377/300)	YTD Win/Loss	53.91% (324/277)
54.83% (851/701)	Sets Win/Loss	53.36% (739/646)
51.64% (7364/6897)	Games Win/Loss	51.27% (6503/6180)
57.22% (202/151)	Hard Win/Loss	57.06% (190/143)
51.66% (78/73)	Clay Win/Loss	51.72% (90/84)
48.35% (44/47)	Indoor Hard W/L	52.17% (36/33)
64.63% (53/29)	Grass Win/Loss	32.00% (8/17)
0.19	Aces Per Game	0.24
1320	Aces Total	1472
0.19	Double Faults Per Game	0.28
1336	Total Double Faults	1745
1st Match	Average Match Time	1:18:23
502.54	Average Opponent Rank	518.54
63% (23163/36670)	1st Serve %	54% (17485/32413)
64% (14860/23163)	1st Serve Win %	65% (11351/17485)
47% (6285/13503)	2nd Serve Win %	46% (6867/14927)
46% (1988/4278)	Break Points Won % (Total)	47% (1765/3778)
43% (16141/37176)	Return Points Win %	44% (14442/33101)
63.97% (87/49)	Slam W/L	45.71% (16/19)
51.35% (95/90)	Masters W/L	37.50% (3/5)
54.55% (6/5)	Cups W/L	0% (0/0)
54.08% (126/107)	Main Tour W/L	42.59% (23/31)
56.25% (63/49)	Challenger W/L	53.80% (255/219)
0% (0/0)	Futures W/L	90.00% (27/3)
55% (370/667)	Best of 3 Sets Win %	54% (320/593)
67% (2/3)	Best of 5 Sets Win %	50% (2/4)
52% (71/137)	Tiebreaks Win % (Total)	45% (54/119)
50% (101/202)	Deciding Set Win %	50% (92/183)
87% (383/333)	1st Set Won, Won Match	83% (344/287)
13% (383/49)	1st Set Won, Lost Match	16% (344/56)
15% (294/44)	1st Set Lost, Won Match	14% (257/37)