OverOwned — Beat the field in DFS: Tennis, Golf, WNBA, Soccer, UFC & MLB

Track Record

Every call graded. Out in the open.

We freeze every signal the moment lines lock, then grade it against the real box score — no cherry-picking, no hindsight edits. This is the live record, exactly as it reads inside the app (through Jun 2026).

PP Glitch Lines · EDGE

95%

18 W · 1 L

19 graded · mispriced PP lines

Tennis Signals

100%

3 W · 0 L

3 graded

WNBA Signals

100%

3 W · 0 L

3 graded

Soccer & Golf

—

Building

Live now — sample accruing

What You Get

Every edge the sharps keep to themselves.

Lineup Optimizer

PCirstea$10.1k

PKostyuk$10.7k

PShelton$9.0k

PBouzas$8.4k

PDiallo$7.9k

PVolynets$7.1k

PHijikata$6.8k

PBonzi$6.4k

PNorrie$8.7k

Instead of one highest-projected lineup, we simulate thousands of slate outcomes and build the portfolio of lineups most likely to actually win the tournament — each player at their optimal exposure, across every sport.

PrizePicks Edge

−110 → 52.4% +4.1%

22.5 Aces → Over 1.7σ Edge

Fantasy Score, Aces, Double Faults, Breaks, Passes, Saves, Shots — every line devigged against sharp market consensus so you only play real edges.

DK Salary Tracker

Sinner$11,300▲ $200

Andreeva$11,000▼ $150

Fils$10,600▲ $300

Sabalenka$10,000▼ $100

Shelton$9,600▲ $200

Mensik$9,000▼ $50

Cobolli$9,300▲ $150

Fonseca$8,300▼ $200

Sinner$11,300▲ $200

Andreeva$11,000▼ $150

Fils$10,600▲ $300

Sabalenka$10,000▼ $100

Shelton$9,600▲ $200

Mensik$9,000▼ $50

Cobolli$9,300▲ $150

Fonseca$8,300▼ $200

Live DraftKings salary moves plus projection & ownership line-movement throughout the slate — catch every price drop before lock.

The Signature Edge

PP Glitches, caught live.

When PrizePicks misprices a line, we flag it the instant it posts. 95% · 18–1 graded.

Scanning PrizePicks live

Aces 6.5Shots 1.5Passes 54.5Pts+Reb+Ast 31.5Double Faults 3.5Goalie Saves 3.5Strokes 69.5Fantasy Score 22.5SOG 1.5Sig. Strikes 74.5 Aces 6.5Shots 1.5Passes 54.5Pts+Reb+Ast 31.5Double Faults 3.5Goalie Saves 3.5Strokes 69.5Fantasy Score 22.5SOG 1.5Sig. Strikes 74.5

GLITCH A. Sabalenka · Aces 6.5 → 9.4 OVER

GLITCH S. Quinn · Shots 1.5 → 2.8 OVER

GLITCH V. Kopriva · Double Faults 3.5 → 5.1 OVER

Sports Coverage

Every sport. One sharp model.

Tennis

Live · Interactive

Golf

Live · Interactive

WNBA

Live · Interactive

Soccer

Live · World Cup

UFC

Live · Interactive

MLB

Live · Interactive

The Tactical Board

The whole pitch, decoded.

🇧🇷

Brazil

4-2-3-1Confirmed XI

AB

84

Alisson

DA

80

Danilo

MA

86

Marquinhos

GM

83

G. Magalhães

WE

79

Wendell

CA

84

Casemiro

BG

85

Bruno G.

RA

87

Raphinha

PA

84

Paquetá

VJ

88

Vinícius

RO

85

Rodrygo

Data-Driven Design

The popups you'll tap every day.

ATP · Player Intel

ZB

Zizou

Bergs

🇧🇪 Grass · Model #90

Stat	Line	Wgt	Contrib
Points	12.0	×1	+12.00
Rebounds	3.0	×1.2	+3.69
Assists	5.0	×1.5	+7.50

The whole app. One sharp model.
Same slate, every angle.

Home⌄

Home

ATP 250 · Libema Open · live board

Court Pace · Libema Open

40.5FAST GRASS

🇫🇮 O. Virtanen · Majchrzak55%+5.1

🇩🇪 Y. Hanfmann · Bellucci54%+4.3

🇫🇷 Mpetshi P. · Onclin60%+1.0

🇰🇿 A. Bublik · Struff68%−0.8

🇺🇸 T. Fritz · Landaluce68%−2.5

Live · Home

The slate, ranked by edge

Every match on the board with our model win% beside the live Kalshi market line — sorted by edge so the biggest mispricings sit on top. Court-pace and weather context up top. Tap a row for the full matchup compare.

Weather · 's-Hertogenbosch

51°F · Clear

Wind 12 km/h · Humidity 88%

Click ↗

Court Pace · Libema Open

40.5 FAST GRASS #22 of 58 −1.4 livei

ATP & Grand Slam tour-level events

Latest Tree

Zhang Zhizhen · +0.28

7.43 actual vs 7.15 avg

🇳🇱ATP 250 · Libema Open 🇩🇪ATP 250 · BOSS Open

PlayerOpponent KalshiEdge ↓

🇫🇮Otto VirtanenKamil Majchrzak 55%+5.1

🇩🇪Yannick HanfmannMattia Bellucci 54%+4.3

🇫🇷G. Mpetshi PerricardGauthier Onclin 60%+1.0

🇦🇺Alex de MinaurMartin Damm Jr 75%+0.3

🇰🇿Alexander BublikJan-Lennard Struff 68%−0.8

🇧🇪Zizou BergsJames McCabe 66%−2.2

🇺🇸Taylor FritzMartin Landaluce 68%−2.5

Tactics⌄

AdM

Alex

de Minaur

Clay · Model #14

Model vs Market

75%

OverOwned

+2.0pp

model favors

73%

Kalshi

Ranking & Honours

Surface Rtg#141893

ATP Rank#9live

Titles815 finals

Win %64%20 mt

Service & Return Profile

Hold rate81%77pct

Break rate28%88pct

Return pts42%83pct

Recent Form

W

🇬🇧 Samuel

May 25

18–10 gms

L

🇺🇸 Paul

May 22

12–14 gms

Research · Player Intel

Tap a player — full scouting profile

The current Apple-Sports profile: our surface-aware model win% beside the live Kalshi market, ranking & honours, a service/return percentile profile vs the field, and recent form. Swipe back to the board.

All

7.42

Avg PR · 20 matches

Hard

7.26

Avg PR · 4 matches

Clay

7.37

Avg PR · 11 matches

Grass

N/A

No matches

Indoor Hard

7.64

Avg PR · 5 matches

Projections⌄

Projections

PrizePicks Fan Score · 23 lines · LIVE

🇦🇺 de MinaurFS62.4+5.1

🇫🇷 Mpetshi P.FS58.0+3.8

🇩🇪 HanfmannFS51.2+2.2

🇰🇿 BublikFS47.5−1.6

🇺🇸 FritzFS44.1−3.0

Props · Projections

Our number vs the PrizePicks line

Every PrizePicks Fan Score line with OUR projection and the edge between them — over/under leans surfaced and ranked. Tap a player for the full math breakdown and open→current line movement.

PrizePicks Tennis

23 Fan Score lines LIVE

23 players on the board total

With Edge

23

FS line + components both present

Movement

▲0.5 Galfi

biggest line move since open

Search a player or opponent…

20 of 20

Player	Opp	FS Line	Proj	Edge
Dalma Galfi	Emerson Jones	11.5	17.9	+6.4
Otto Virtanen	Kamil Majchrzak	15.5	20.6	+5.1
Yannick Hanfmann	Mattia Bellucci	15	19.3	+4.3
Katie Boulter	Jaqueline Cristian	14	17.0	+3.0
Sorana Cirstea	Emma Raducanu	14.5	17.3	+2.8
Kaitlin Quevedo	Jeline Vandromme	15.5	18.0	+2.5
Iva Jovic	Alexandra Eala	16	18.5	+2.5
Amanda Anisimova	Laura Siegemund	18	20.3	+2.3
Greet Minnen	Robin Montgomery	15	16.9	+1.9
Solana Sierra	Lois Boisson	16	17.8	+1.8
Giovanni Mpetshi Perricard	Gauthier Onclin	25	26.0	+1.0
Marie Bouzkova	Donna Vekic	16.5	17.5	+1.0
Victoria Mboko	Karolina Pliskova	17.5	18.1	+0.6

Movement

since open

▲ 0.5

Dalma Galfi

9:30a

11.0→11.5Fan Score

vs Emerson Jones

▲ 0.5

Iva Jovic

9:00a

15.5→16.0Fan Score

vs Alexandra Eala

▼ 0.5

Katie Boulter

9:00a

14.5→14.0Fan Score

vs Jaqueline Cristian

▲ 0.5

Otto Virtanen

9:00a

15.0→15.5Fan Score

vs Kamil Majchrzak

▼ 0.5

Amanda Anisimova

9:00a

18.5→18.0Fan Score

vs Laura Siegemund

▲ 0.5

Sorana Cirstea

9:00a

14.0→14.5Fan Score

vs Emma Raducanu

▼ 0.5

Marie Bouzkova

9:00a

17.0→16.5Fan Score

vs Donna Vekic

Builder⌄

Builder

OverOwned DK lineup engine

Optimal Lineup · $49.7k

🇦🇺 de Minaur$10.2k35%

🇫🇷 Mpetshi P.$8.1k31%

🇫🇮 Virtanen$7.4k22%

🇩🇪 Hanfmann$6.9k18%

Proj

271.4

Leverage

35%

DFS · Builder

Tournament-ready DK lineups

Upload your slate and the OverOwned engine builds GPP-optimal lineups — barbell structure, win-probability gating, and leverage tuned against the real field. Exposure and projected points on every player.

Builder

DraftKings · projections · optimized lineups

Lineups20

Min0

Max100

1.0%

OverOwned OFF

Projections CSV

Search pool by player or opponent…

32 players

Projections 32 of 32 players

Get from DK Upload Entries DK Upload CSV

#	Player	vs Opp	SAL	Own% ▼	Edge	Proj	Val	SW	Aces	DFs	Brks	Max%	Exp%	Lev%
1	🇷🇺Anastasia Potapova	Suzan Lamens	$10,200	32.0	+0.18	65.8	6.45	1.6	3.5	4.5	5.0	100	—	—
2	🇨🇳Yibing Wu	Thijs Boogaard	$10,300	32.5	+0.15	65.2	6.33	1.6	6.0	3.0	3.4	100	—	—
3	🇦🇺Alex de Minaur	Martin Damm Jr	$9,800	23.3	+0.21	62.8	6.40	1.6	5.5	2.0	2.8	100	—	—
4	🇺🇸Amanda Anisimova	Laura Siegemund	$9,100	27.6	+0.34	60.8	6.68	1.4	4.5	4.5	4.0	100	—	—
5	🇺🇸Taylor Fritz	Martin Landaluce	$9,400	22.8	+0.22	60.8	6.46	1.5	11.5	2.0	1.5	100	—	—
6	🇺🇦Daria Snigur	Panna Udvardy	$9,500	27.2	+0.16	60.7	6.39	1.4	2.5	4.0	4.5	100	—	—
7	🇫🇷G. Mpetshi Perricard	Gauthier Onclin	$8,500	28.6	+0.51	58.9	6.93	1.4	22.8	4.0	2.8	100	—	—
8	🇰🇿Alexander Bublik	Jan-Lennard Struff	$9,300	22.2	+0.11	58.2	6.26	1.5	15.8	5.0	1.5	100	—	—
9	🇧🇪Zizou Bergs	James McCabe	$9,000	21.5	+0.13	56.3	6.26	1.4	7.0	4.5	2.4	100	—	—
10	🇺🇸Iva Jovic	Alexandra Eala	$8,600	25.5	+0.27	56.2	6.54	1.3	4.5	3.0	4.0	100	—	—
11	🇫🇷Ugo Humbert	Benjamin Bonzi	$8,900	21.1	+0.14	56.1	6.31	1.4	6.5	3.5	2.2	100	—	—
12	🇨🇦Victoria Mboko	Karolina Pliskova	$8,700	24.1	+0.09	54.3	6.24	1.3	6.0	5.5	3.5	100	—	—
13	🇨🇿Marie Bouzkova	Donna Vekic	$8,400	23.9	+0.19	54.2	6.45	1.3	4.0	3.0	3.5	100	—	—
14	🇧🇪Greet Minnen	Robin Montgomery	$8,200	22.4	+0.12	52.4	6.39	1.3	4.5	3.0	3.5	100	—	—
15	🇫🇮Otto Virtanen	Kamil Majchrzak	$8,100	20.7	+0.24	51.9	6.41	1.2	14.8	3.5	1.5	100	—	—
16	🇩🇪Yannick Hanfmann	Mattia Bellucci	$8,000	20.8	+0.20	51.6	6.45	1.2	11.0	2.0	1.5	100	—	—
17	🇵🇱Kamil Majchrzak	Otto Virtanen	$7,400	19.0	-0.06	43.1	5.83	1.1	7.0	2.0	1.7	100	—	—
18	🇮🇹Mattia Bellucci	Yannick Hanfmann	$7,500	19.1	-0.11	43.0	5.73	1.1	12.0	4.0	1.0	100	—	—
19	🇧🇪Gauthier Onclin	G. Mpetshi Perricard	$6,900	16.2	-0.14	37.6	5.45	1.0	6.0	4.5	2.5	100	—	—
20	🇫🇷Benjamin Bonzi	Ugo Humbert	$6,500	15.7	-0.03	36.8	5.66	0.9	5.5	1.5	2.5	100	—	—
21	🇺🇸Robin Montgomery	Greet Minnen	$7,200	16.5	-0.22	36.6	5.08	1.1	7.0	7.0	3.0	100	—	—
22	🇵🇭Alexandra Eala	Iva Jovic	$6,800	14.4	-0.08	35.6	5.23	1.0	3.0	3.0	3.0	100	—	—
23	🇭🇷Donna Vekic	Marie Bouzkova	$7,000	15.0	-0.10	35.4	5.06	1.0	3.5	4.5	2.5	100	—	—
24	🇦🇺James McCabe	Zizou Bergs	$6,400	13.9	-0.05	34.4	5.37	0.9	7.5	3.0	1.3	100	—	—
25	🇨🇿Karolina Pliskova	Victoria Mboko	$6,700	12.5	-0.17	32.8	4.89	1.0	6.5	6.5	2.5	100	—	—
26	🇩🇪Jan-Lennard Struff	Alexander Bublik	$6,100	12.3	-0.09	32.3	5.30	0.9	12.0	6.5	0.3	100	—	—
27	🇺🇸Martin Damm Jr	Alex de Minaur	$5,500	11.7	-0.21	30.2	5.49	0.8	4.5	3.0	2.8	100	—	—
28	🇪🇸Martin Landaluce	Taylor Fritz	$5,900	9.4	-0.13	28.9	4.90	0.8	6.0	6.5	0.5	100	—	—
29	🇩🇪Laura Siegemund	Amanda Anisimova	$6,300	8.5	-0.25	28.1	4.45	0.9	1.5	4.0	3.0	100	—	—
30	🇭🇺Panna Udvardy	Daria Snigur	$5,800	7.5	-0.07	27.9	4.82	0.9	6.5	5.5	2.0	100	—	—
31	🇳🇱Thijs Boogaard	Yibing Wu	$5,000	9.2	-0.04	26.7	5.35	0.8	4.0	3.5	2.8	100	—	—
32	🇳🇱Suzan Lamens	Anastasia Potapova	$5,100	3.2	-0.19	21.7	4.25	0.8	1.5	5.0	1.9	100	—	—

Signals⌄

Signals

Auto-detected glitch lines · take the side

U🇺🇸 Pegula · Aces 6.5glitch

O🇧🇾 Sabalenka · Aces 6.5+2.9

U🇨🇿 Mensik · DFs 3.5glitch

Research · Signals

When the book misprices a line

When PrizePicks posts a goblin/demon line that disagrees with our projection, Signals flags the exact play — player, line, and side — so you can act before it corrects. Tap to open the matchup.

Signals

live · 16 matches

8s ago

All 4 Spreads 0 PrizePicks 4

TENNISPP GLITCH G. Mpetshi Perricard vs G. OnclinWed • 9:00am

🇫🇷 G. Mpetshi Perricard

↑16.5

Aces

TENNISPP GLITCH A. Bublik vs J-L. StruffWed • 9:00am

🇰🇿 Alexander Bublik

↑13.5

Aces

TENNISPP GLITCH T. Fritz vs M. LandaluceWed • 11:00am

🇺🇸 Taylor Fritz

↑11.5

Aces

TENNISPP GLITCH U. Humbert vs B. BonziWed • 1:00pm

🇫🇷 Ugo Humbert

↑9.5

Aces

Trends⌄

Trends

Every graded signal, by actual result

Tennis TrendsGraded

—hit rateTracking — building sampleNew rule set

PP Glitch LinesGraded

95%hit rate19W · 1L20 graded · tap for historyEDGE

Props · Trends

We grade ourselves, publicly

Every signal we publish gets graded against the actual result. The donuts show the live hit-rate on each signal type — tap one to see the full graded history. No cherry-picking.

Pricing

Pick your edge.

JUST LAUNCHED

Signals

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PP Glitch plays + Discord alerts
Line Movement Alerts
Injury Alerts
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Software · Weekly

The full app, week to week

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Trap detection + graded signals
Lineup optimizer + DK CSV export
PrizePicks line analysis
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Access through September 13

OverOwned provides analytical software tools for research and entertainment purposes only. We do not facilitate wagers, accept bets, guarantee outcomes, or provide gambling advice. Use at your own discretion. Not affiliated with DraftKings, PrizePicks, or Kalshi. By purchasing, you agree to our Terms of Service and Refund Policy.

All the data the books have.

Every call graded. Out in the open.

Every edge the sharps keep to themselves.

PP Glitches, caught live.

Every sport. One sharp model.

The whole pitch, decoded.

The popups you'll tap every day.

The whole app. One sharp model.Same slate, every angle.

Pick your edge.

All the data
the books have.

The whole app. One sharp model.
Same slate, every angle.