Omega_^Posey — CS2 Stats

FR76561198093651515[U:1:133385787]Steam profile ↗

3,906Tracked matches43%Win rate2020Tracked since

8,555Hours in CS34Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating26,774Top 10% of 29,473 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#1882 of 39919 tracked

FaceitLevel 10 · 2,030 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	43.4%	51.9%
Shot accuracy	18.7%	13.7%
Kill/death ratio	1.10	1.08
Match win rate	46.3%	48.7%

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Performance scores

Aim91

Positioning65

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY41–57–2Last 10041%Win rateWLWLLLWWWL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.1

Aggression10.0

Utility6.1

Positioning6.5

Opening Duels5.4

Clutch3.4

Sharp aimerStrong CT-side opener

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 device 95% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim9.1

Positioning6.5

Utility6.1

Mechanics8.1

Opening Duels5.4

Win Impact2.8

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time578ms+10ms

first ⅓ avg 568ms → last ⅓ avg 578ms

Headshot accuracy23.0%−1.3%

first ⅓ avg 24.3% → last ⅓ avg 23.0%

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

0.12Best rating — inferno 13–6

13–0Biggest win — dust2

5Longest win streak

6–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 55% over 22cacheWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	36	14–22	39%	0.01
nuke	A	22	12–10	55%	0.03
inferno	C	20	8–12	40%	0.03
cache	D	18	6–12	33%	-0.01
mirage	—	2	1–1	50%	0.01
anubis	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

236,722Lifetime kills

1.10K/D · Top 50% of Level 10 players

10,010Matches

46.3%Match win rate

43.4%Headshot %

18.7%Shot accuracy · Top 10% of Level 10 players

27,331MVPs

5,501Hours (in match)

18,930Bombs planted

2,676Bombs defused

Most-used weapons

AK-4757,376

AWP43,624

M4A4 / M4A1-S30,488

Desert Eagle15,434

P2000 / USP-S12,815

FAMAS10,535

Glock-189,897

MAC-108,136

Galil AR6,944

MP95,791

Lifetime map wins

39,957inferno

31,497dust2

7,833nuke

3,916train

2,878cbble

1,359vertigo

214lake

133bank

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

Faceit stats

Combat

4,710Matches

50%Win rate

1.10Avg K/D

83.0ADR

39%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	157	54%	1.24	17.1
Inferno	149	55%	1.22	16.4
Nuke	89	55%	1.22	18.0
Anubis	63	43%	1.08	15.6
Ancient	51	25%	0.91	14.2
Overpass	24	71%	1.18	18.9
Train	14	43%	1.11	16.6
Vertigo	5	40%	1.03	14.6

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.

23.1%Headshot accuracy

39.7%Accuracy (enemy spotted)

44.6%Spray accuracy

86.4%Counter-strafing

8.2°Preaim

571msReaction time

43.0%T opening success

60.0%CT opening success

0.55Enemies flashed / flash

9.4%Flash assists

12.13HE damage / grenade

9.11Flashes / match

Recommended for you

Spend your practice time on Cache

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–13	0.10	25%	30 Aug →
nuke	14–16	0.03	20%	29 Aug →
dust2	13–11	0.08	20%	29 Aug →
dust2	12–16	-0.03	17%	27 Aug →
dust2	9–13	0.00	22%	27 Aug →
nuke	12–16	0.02	18%	26 Aug →
cache	13–7	0.06	28%	25 Aug →
inferno	13–11	0.07	23%	25 Aug →
nuke	13–10	-0.02	7%	24 Aug →
dust2	8–13	-0.01	19%	24 Aug →
inferno	8–13	0.06	20%	24 Aug →
inferno	13–1	-0.05	17%	24 Aug →
dust2	5–13	-0.07	21%	24 Aug →
mirage	4–13	-0.03	35%	23 Aug →
dust2	13–3	0.02	31%	23 Aug →
dust2	5–13	-0.02	43%	23 Aug →
dust2	8–13	-0.06	12%	23 Aug →
dust2	13–8	-0.01	12%	22 Aug →
anubis	11–13	-0.02	32%	22 Aug →
cache	6–13	-0.02	18%	22 Aug →
dust2	8–13	0.02	36%	21 Aug →
cache	8–13	0.01	26%	21 Aug →
inferno	13–10	0.08	27%	21 Aug →
dust2	4–13	0.04	32%	21 Aug →
nuke	13–8	0.09	38%	20 Aug →
cache	16–13	0.02	21%	20 Aug →
inferno	4–13	0.00	23%	19 Aug →
dust2	13–0	0.04	24%	19 Aug →
nuke	8–0	-0.02	15%	19 Aug →
dust2	8–13	-0.05	18%	19 Aug →
inferno	8–13	-0.02	24%	19 Aug →
nuke	5–13	-0.04	16%	19 Aug →
inferno	16–14	0.04	19%	19 Aug →
nuke	13–7	0.05	20%	19 Aug →
cache	3–13	-0.13	19%	18 Aug →
nuke	13–9	0.04	17%	18 Aug →
cache	8–13	0.00	22%	18 Aug →
dust2	7–13	-0.05	22%	18 Aug →
inferno	13–10	-0.01	24%	18 Aug →
cache	11–13	0.05	23%	17 Aug →
nuke	15–15	0.07	25%	17 Aug →
dust2	10–13	-0.03	32%	17 Aug →
dust2	7–13	0.02	20%	16 Aug →
dust2	11–13	0.03	22%	16 Aug →
cache	13–8	0.02	18%	16 Aug →
inferno	6–13	0.04	26%	15 Aug →
dust2	13–8	0.06	23%	15 Aug →
dust2	8–13	0.04	41%	15 Aug →
dust2	9–13	0.01	16%	13 Aug →
cache	13–8	0.04	13%	13 Aug →
inferno	6–13	0.01	20%	13 Aug →
dust2	13–11	0.02	18%	13 Aug →
cache	13–9	-0.07	16%	12 Aug →
mirage	13–9	0.06	23%	12 Aug →
nuke	13–4	0.03	26%	12 Aug →
dust2	13–6	-0.01	22%	12 Aug →
cache	6–13	-0.04	28%	12 Aug →
cache	6–13	-0.03	8%	12 Aug →
inferno	13–6	0.12	20%	12 Aug →
nuke	10–13	0.01	25%	11 Aug →
inferno	12–16	0.09	39%	11 Aug →
dust2	13–9	0.03	56%	10 Aug →
dust2	7–13	0.03	17%	10 Aug →
inferno	11–13	0.05	33%	9 Aug →
nuke	8–13	-0.00	31%	9 Aug →
dust2	13–9	-0.03	26%	8 Aug →
nuke	13–9	0.09	36%	8 Aug →
inferno	9–13	0.00	21%	8 Aug →
nuke	9–13	0.02	30%	7 Aug →
nuke	13–5	-0.01	21%	7 Aug →
anubis	4–13	-0.04	21%	7 Aug →
nuke	13–16	0.01	38%	6 Aug →
inferno	13–11	0.05	16%	6 Aug →
nuke	13–7	0.02	35%	5 Aug →
cache	8–13	0.02	15%	5 Aug →
cache	11–13	-0.02	24%	5 Aug →
inferno	9–13	0.01	35%	5 Aug →
cache	6–13	-0.03	8%	4 Aug →
dust2	13–10	0.01	22%	4 Aug →
dust2	8–13	-0.07	11%	4 Aug →
dust2	7–13	0.08	12%	3 Aug →
inferno	8–13	-0.00	17%	3 Aug →
nuke	13–10	-0.02	17%	2 Aug →
inferno	10–13	-0.03	22%	2 Aug →
dust2	13–10	0.05	35%	2 Aug →
dust2	3–13	-0.05	41%	31 Jul →
cache	13–10	0.03	29%	31 Jul →
nuke	10–13	-0.00	25%	31 Jul →
cache	11–13	-0.01	33%	30 Jul →
dust2	5–13	-0.01	16%	30 Jul →
inferno	13–3	0.10	30%	30 Jul →
nuke	13–6	0.12	27%	30 Jul →
cache	2–13	-0.05	14%	29 Jul →
inferno	9–13	0.01	26%	29 Jul →
dust2	13–8	0.06	31%	28 Jul →
dust2	13–11	0.00	22%	28 Jul →
dust2	15–15	0.02	30%	27 Jul →
nuke	13–10	0.08	23%	27 Jul →
dust2	9–13	0.01	38%	27 Jul →
nuke	4–13	0.01	17%	26 Jul →