Serena Williams — CS2 Stats

76561197966604405[U:1:6338677]

1,701Tracked matches53%Win rate2020Tracked since

7,889Hours in CS15Hrs last 2 wks

CSDB Rating6.9 SolidEntry Fragger

Ladder ranks via Leetify

Performance scores

Aim84

Positioning64

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLWWWLWLLW

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.4

Aggression10.0

Utility7.0

Positioning6.4

Opening Duels6.1

Clutch3.6

Strong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like s1mple 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.4

Positioning6.4

Utility7.0

Mechanics8.2

Opening Duels6.1

Win Impact6.1

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time528ms−52ms

first ⅓ avg 580ms → last ⅓ avg 528ms

Headshot accuracy26.8%+2.5%

first ⅓ avg 24.3% → last ⅓ avg 26.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.25Best rating — dust2 7–0

13–0Biggest win — dust2

10Longest win streak

L2Current streak

9–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 55% over 11dust2Weakest map · 41% over 29

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	29	12–17	41%	0.03
mirage	B	23	11–12	48%	0.02
nuke	C	17	7–10	41%	0.03
inferno	B	12	6–6	50%	0.03
cache	A	11	6–5	55%	0.03
ancient	—	3	1–2	33%	0.02
overpass	—	3	2–1	67%	0.05
anubis	—	1	1–0	100%	0.04
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

186,602Lifetime kills

1.35K/D · Top 10% of tracked players

6,620Matches

53.4%Match win rate · Top 10% of tracked players

42.3%Headshot %

16.1%Shot accuracy · Top 25% of tracked players

24,115MVPs

3,694Hours (in match)

6,657Bombs planted

3,936Bombs defused

Most-used weapons

AK-4747,089

AWP46,479

M4A4 / M4A1-S21,396

Desert Eagle12,467

P2000 / USP-S10,307

Glock-186,370

P2505,968

Five-SeveN3,480

Tec-93,220

P902,820

Lifetime map wins

14,239inferno

11,119dust2

7,520nuke

5,829train

5,262cbble

1,231vertigo

175office

130aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,711Matches

60%Win rate

1.68Avg K/D

78.4ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

16Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	73	52%	1.21	17.6
Dust2	43	40%	1.08	15.9
Nuke	40	52%	1.16	16.6
Inferno	24	38%	1.04	16.5
Ancient	16	25%	0.97	13.9
Overpass	9	22%	1.07	15.0
Vertigo	8	25%	0.92	12.6
Cache	5	60%	1.25	12.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.6%Headshot accuracy

33.9%Accuracy (enemy spotted)

29.1%Spray accuracy

86.8%Counter-strafing

8.3°Preaim

528msReaction time

42.7%T opening success

66.1%CT opening success

0.77Enemies flashed / flash

7.3%Flash assists

12.54HE damage / grenade

9.53Flashes / match

Recommended for you

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

41% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	3–13	-0.04	33%	28 Aug →
cache	9–13	-0.03	23%	21 Aug →
nuke	13–5	0.08	36%	21 Aug →
dust2	13–8	0.10	22%	19 Aug →
cache	11–5	0.00	44%	14 Aug →
dust2	7–13	-0.05	15%	14 Aug →
mirage	13–8	0.08	25%	12 Aug →
mirage	11–13	0.07	31%	7 Aug →
dust2	7–13	-0.10	9%	5 Aug →
dust2	7–0	0.25	45%	5 Aug →
mirage	9–13	-0.07	36%	5 Aug →
dust2	14–16	0.01	26%	4 Aug →
nuke	14–16	0.05	22%	4 Aug →
cache	13–6	-0.02	21%	4 Aug →
cache	7–13	0.02	26%	29 Jul →
dust2	4–13	0.03	29%	28 Jul →
dust2	13–10	0.02	30%	22 Jul →
inferno	13–10	0.03	17%	17 Jul →
dust2	13–9	0.02	21%	17 Jul →
cache	13–10	-0.08	31%	17 Jul →
ancient	16–14	0.00	19%	15 Jul →
nuke	13–9	0.04	15%	15 Jul →
dust2	13–0	0.14	22%	15 Jul →
anubis	13–11	0.04	43%	8 Jul →
mirage	13–10	-0.09	10%	8 Jul →
dust2	13–10	0.08	23%	6 Jul →
dust2	7–13	0.03	31%	6 Jul →
ancient	5–13	0.03	31%	6 Jul →
mirage	8–13	0.03	20%	2 Jul →
inferno	5–13	-0.00	33%	2 Jul →
cache	12–12	0.02	39%	30 Jun →
inferno	2–13	-0.02	22%	26 Jun →
nuke	13–8	-0.01	33%	26 Jun →
dust2	11–13	0.00	25%	26 Jun →
overpass	13–7	0.09	27%	26 Jun →
inferno	13–11	0.01	27%	23 Jun →
dust2	13–10	0.01	17%	23 Jun →
mirage	7–13	-0.08	10%	23 Jun →
dust2	15–15	0.01	15%	18 Jun →
nuke	12–16	-0.00	11%	18 Jun →
nuke	13–4	0.04	31%	18 Jun →
mirage	9–13	0.11	21%	18 Jun →
inferno	11–13	-0.01	19%	12 Jun →
nuke	7–13	0.04	48%	12 Jun →
dust2	12–12	0.13	26%	12 Jun →
dust2	13–7	0.02	25%	9 Jun →
dust2	13–4	0.03	28%	9 Jun →
inferno	13–5	0.09	0%	9 Jun →
inferno	13–9	0.06	17%	9 Jun →
nuke	4–13	0.15	36%	6 Jun →
dust2	0–13	0.00	39%	6 Jun →
inferno	3–13	0.02	18%	6 Jun →
train	13–10	0.06	26%	6 Jun →
mirage	13–8	0.11	25%	6 Jun →
nuke	10–13	-0.01	50%	2 Jun →
dust2	16–14	0.03	15%	2 Jun →
nuke	9–13	0.07	9%	30 May →
dust2	10–13	0.06	21%	30 May →
mirage	13–9	0.05	43%	30 May →
dust2	10–13	0.02	35%	30 May →
mirage	13–4	0.11	26%	30 May →
mirage	13–7	0.17	25%	30 May →
inferno	8–13	0.14	24%	30 May →
dust2	4–13	-0.01	27%	27 May →
mirage	4–13	-0.03	18%	27 May →
mirage	13–10	0.09	44%	27 May →
nuke	13–4	0.09	35%	26 May →
mirage	16–13	-0.02	11%	22 May →
nuke	6–13	-0.02	17%	20 May →
nuke	9–13	-0.01	8%	20 May →
inferno	13–11	-0.05	23%	13 May →
nuke	13–9	-0.01	26%	13 May →
ancient	5–13	0.02	46%	13 May →
mirage	15–19	-0.00	27%	13 May →
mirage	11–13	0.03	24%	13 May →
overpass	13–11	0.07	21%	12 May →
dust2	8–13	-0.03	19%	8 May →
dust2	16–14	-0.04	17%	8 May →
mirage	13–16	0.00	21%	6 May →
dust2	6–13	0.01	32%	6 May →
mirage	13–8	0.06	26%	6 May →
nuke	7–13	-0.01	20%	4 May →
cache	12–12	0.03	21%	4 May →
cache	13–7	0.06	31%	4 May →
cache	13–8	0.13	30%	4 May →
cache	1–13	0.05	63%	4 May →
inferno	13–9	0.15	26%	1 May →
overpass	9–13	-0.01	16%	1 May →
cache	13–5	0.10	18%	29 Apr →
inferno	7–13	-0.02	24%	26 Apr →
dust2	8–13	0.01	33%	26 Apr →
mirage	3–1	-0.04	0%	26 Apr →
nuke	8–13	0.07	36%	25 Apr →
dust2	1–13	-0.07	20%	25 Apr →
mirage	10–13	0.02	15%	25 Apr →
mirage	13–11	-0.00	38%	25 Apr →
dust2	13–5	0.08	24%	22 Apr →
mirage	15–15	-0.01	20%	22 Apr →
dust2	4–13	-0.03	29%	22 Apr →
nuke	13–7	0.01	18%	17 Apr →