RallyIQ

Game plan

Anna Lena Friedsam v Ana Bogdan

Every number combines what Anna Lena Friedsam does well with what Ana Bogdan allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Anna Lena Friedsam wins, best of 3 51%90%: 20%–82% · best of 5: 52%
Serve points won 57.2% / 57.0% Anna / Ana · tour 56.4%
Strengths only, no similarity priors 51%serve 57.2% / 57.0%

Each player's serve and return strength is fitted against every opponent they were charted against, so a record built on weak opponents counts for less. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers. The result is then nudged by Anna Lena Friedsam's record against Ana Bogdan's tactical lookalikes and in their charted head-to-heads. A game-by-game Markov chain turns point odds into match odds; the 90% range covers the uncertainty in the two strengths, not the nudges. Charted matches lean toward big events, so treat this as a scouting estimate, not a betting line.

Head to head, per 100 shots

CareerAnnaAna
Direction choice±0.00 ±0.15
better than 52%
+0.10 ±0.07
better than 72%
Shot selection−0.47 ±0.33
better than 12%
−0.04 ±0.21
better than 43%
Execution−0.06 ±1.00
better than 58%
+0.40 ±0.61
better than 76%
Points left on the table2.54 ±0.20
lower than 61%
2.34 ±0.14
lower than 83%

Each player's career against an average tour player in the same position, adjusted for opponent strength, with a 90% margin (shots clustered by match). Points left on the table is the gap to the best-value direction for the same stroke, so lower is better. Percentiles are within each player's own tour. A side is highlighted only when the gap is larger than the margin on the difference.

Serve plan

The share of points the server wins when a first serve lands in that direction (hover a rate for its 90% interval; ± is the 90% margin). "Matchup" combines the server's rate with how this returner handles that serve. "Optimal" is the mix that wins most against this returner once they start reading a habit, at the response measured across the tour, and only within the range servers' habits actually vary. The gain over the current mix is how exploitable that mix is.

Anna Lena Friedsam serving

Deuce court

1st serveNowAnna winsv AnaMatchupOptimal
Wide37%62%68%63.8%±9.737%
Body29%62%56%60.8%±10.914% ▼
T34%58%76%66.6%±11.249% ▲

Optimal v Ana Bogdan: +0.7±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnna winsv AnaMatchupOptimal
Wide49%69%63%66.9%±9.749%
Body20%51%51%46.3%±12.35% ▼
T31%63%72%71.3%±10.146% ▲

Optimal v Ana Bogdan: +1.2±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.1 per 100 first serves in before the returner adjusts.

Ana Bogdan serving

Deuce court

1st serveNowAna winsv AnnaMatchupOptimal
Wide41%65%60%59.3%±10.741%
Body21%58%60%61.4%±12.66% ▼
T38%73%64%70.1%±10.253% ▲

Optimal v Anna Lena Friedsam: +0.8±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAna winsv AnnaMatchupOptimal
Wide42%55%71%61.2%±10.741%
Body19%52%64%60.7%±13.34% ▼
T39%59%70%64.9%±10.855% ▲

Optimal v Anna Lena Friedsam: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.3 per 100 first serves in before the returner adjusts.

Return plan

Value of each return, in points per 100 returns against an average return of the same serve (direction, court, surface): the tour's result with that return, the returner's own edge with it, and what this server gives up when it comes back to that side. Returns with no charted direction are left out, so values compare with each other rather than with zero. Depth isn't a choice here: missed returns have no depth. Serve quality isn't charted, so a block through the middle partly reflects the serve that forced it.

Anna Lena Friedsam returning

1st serve to the forehand

ReturnNowTourOwnv AnaValue
FH through the middle48%+4.2−1.9+2.3+4.5±3.1
FH crosscourt18%+5.3+3.5−2.5+6.4±4.2
FH slice through the middle15%−6.7+0.1−1.1−7.7±2.3
FH down the line14%+1.5−2.7+0.5−0.6±4.4
FH slice down the line5%−10.5+0.6±0.0−9.9±1.5

Lean FH crosscourt: +4.9±3.8 per 100 returns v the current mix (119 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnaValue
BH through the middle39%+6.0+1.7+3.5+11.3±2.9
BH crosscourt24%+7.7−1.5−0.6+5.6±3.7
BH slice through the middle19%−6.2−0.7+0.1−6.7±2.4
BH down the line7%+2.2−1.0−2.3−1.2±4.2
BH slice crosscourt5%−4.2−0.4−0.9−5.5±2.1

Lean BH through the middle: +7.6±2.0 per 100 returns v the current mix (157 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnaValue
FH through the middle56%−3.2−4.0+1.7−5.5±3.0
FH crosscourt44%+0.5−1.2−0.3−0.9±4.2

Lean FH crosscourt: +2.6±2.9 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AnaValue
BH crosscourt52%+1.5+0.4+1.5+3.4±3.7
BH through the middle33%−2.6−0.7+1.2−2.2±2.7
BH down the line15%−0.5−3.0−1.8−5.4±4.7

Lean BH crosscourt: +3.2±2.1 per 100 returns v the current mix (79 returns charted)

Ana Bogdan returning

1st serve to the forehand

ReturnNowTourOwnv AnnaValue
FH crosscourt32%+5.3+0.3+1.0+6.6±4.3
FH through the middle30%+4.2−2.3+0.8+2.7±3.2
FH slice through the middle15%−6.7+0.8+0.5−5.4±2.4
FH slice crosscourt13%−6.6+2.5+0.2−3.9±2.4
FH down the line6%+1.5−2.1−2.3−2.8±4.2

Lean FH crosscourt: +5.7±3.1 per 100 returns v the current mix (159 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnnaValue
BH through the middle49%+6.0−1.4+2.0+6.7±2.8
BH crosscourt39%+7.7+1.0+1.8+10.4±3.7
BH down the line12%+2.2−1.6−1.6−1.1±4.3

Lean BH crosscourt: +3.2±2.7 per 100 returns v the current mix (117 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnnaValue
FH crosscourt61%+0.5+2.5+0.7+3.7±4.3
FH through the middle31%−3.2−0.8+1.5−2.5±2.9
FH down the line8%−0.6+1.6−0.4+0.6±3.8

Lean FH crosscourt: +2.1±1.9 per 100 returns v the current mix (59 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AnnaValue
BH crosscourt58%+1.5±0.0−0.7+0.9±3.7
BH through the middle43%−2.6+2.7+0.6+0.7±2.8

Lean BH crosscourt: +0.1±2.0 per 100 returns v the current mix (80 returns charted, inside the 90% margin)

Rally plan

Edge, in points per 100 shots: the hitter's skill with the shot (own) plus how much the receiver usually gives up against it (theirs), both measured against the tour average on hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Anna Lena Friedsam

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+7.8±4.2+3.3+4.5
FH to their forehand · return +1+6.0±5.8+0.4+5.6
BH to their forehand · rally+4.2±6.5+4.3−0.1
FH to their forehand · rally+3.4±4.1+4.2−0.7
BH to the middle · return+2.7±3.5−0.3+3.0
BH to the middle · serve +1+2.6±4.0+1.6+1.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−8.1±6.4−6.7−1.3
BH to their forehand · return−7.2±6.8−1.7−5.5
FH to their backhand · rally−1.9±5.1+0.2−2.1
BH to their backhand · return−1.0±5.2−2.2+1.2
FH to the middle · return−1.0±4.0−4.4+3.5

Ana Bogdan

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+5.1±4.8−0.9+6.1
BH to their backhand · serve +1+3.8±5.4+5.2−1.3
BH to the middle · return+3.4±3.5+1.0+2.4
BH to the middle · return +1+3.0±3.8±0.0+2.9
FH to their forehand · serve +1+2.5±5.8+2.5±0.0
FH to their forehand · return +1+2.0±5.9+2.8−0.7

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−3.9±4.0+0.4−4.3
FH to their forehand · rally−3.7±3.9−1.2−2.5
BH to their forehand · rally−3.3±6.5−4.5+1.2
BH to the middle · rally−0.4±3.1−1.5+1.1
FH to the middle · return+0.1±4.2−1.8+1.9

Against Ana Bogdan-like opponents

Anna Lena Friedsam vMatchesServe pts wonReturn pts won
All charted opponents–55.8%42.4%

Similar by tactical fingerprint: Anna Blinkova, Elina Svitolina, Emma Raducanu, Maria Sakkari, Yue Yuan, Heather Watson, Anna Karolina Schmiedlova, Andrea Petkovic, Johanna Larsson. When two players have rarely met, their records against these lookalikes fill the gap.