ezOL- — CS2 Stats

FR76561198258835621[U:1:298569893]Steam profile ↗✓ No bans

2,938Tracked matches43%Win rate2020Tracked since

8,714Hours in CS45Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating28,349Top 5% of 29,473 CSDB-tracked playersRed band · top ~1.4% of ranked players (population est.)

CSDB Leaderboard#610 of 46319 tracked

FaceitLevel 10 · 1,963 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

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	37.3%	51.9%
Shot accuracy	13.8%	13.7%
Kill/death ratio	1.09	1.08
Match win rate	48.6%	48.7%

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Performance scores

Aim92

Positioning46

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateLWLLLLWWWW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim9.2

Aggression6.4

Utility6.2

Positioning4.6

Opening Duels1.5

Clutch4.2

Sharp aimer

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 Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, aim profile.

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 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.

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

Aim9.2

Positioning4.6

Utility6.2

Mechanics7.9

Opening Duels1.5

Win Impact2.6

Composite 6.5/10 (Solid), 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 time552ms−50ms

first ⅓ avg 602ms → last ⅓ avg 552ms

Headshot accuracy22.2%+1.6%

first ⅓ avg 20.6% → last ⅓ avg 22.2%

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

0.13Best rating — dust2 9–13

13–0Biggest win — nuke

6Longest win streak

12–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 56% over 41ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	41	23–18	56%	0.04
inferno	C	17	7–10	41%	-0.00
cache	C	12	5–7	42%	0.02
nuke	C	12	5–7	42%	0.01
anubis	A	9	5–4	56%	0.00
ancient	D	7	2–5	29%	-0.00
mirage	—	1	1–0	100%	0.03
overpass	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

178,355Lifetime kills

1.09K/D · Top 50% of Level 10 players

8,121Matches

48.6%Match win rate

37.3%Headshot %

13.8%Shot accuracy · Top 50% of Level 10 players

18,864MVPs

4,302Hours (in match)

13,301Bombs planted

2,546Bombs defused

Most-used weapons

AWP50,820

AK-4742,175

M4A4 / M4A1-S23,676

Desert Eagle14,769

P2000 / USP-S9,646

Glock-185,976

MAC-104,036

Knife3,757

FAMAS3,034

Galil AR2,441

Lifetime map wins

36,479dust2

26,310inferno

7,386nuke

1,402cbble

1,198train

924vertigo

144office

113aztec

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

Faceit stats

Combat

3,210Matches

50%Win rate

1.10Avg K/D

65.9ADR

33%Headshot %

Clutches & streaks

41%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	101	58%	1.12	14.5
Inferno	43	30%	0.99	13.8
Ancient	39	44%	0.92	13.5
Mirage	36	42%	0.84	12.5
Anubis	28	54%	1.05	14.0
Nuke	26	31%	0.83	12.5
Cache	16	44%	1.07	15.0
Overpass	11	82%	1.09	14.7

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.

22.3%Headshot accuracy

37.6%Accuracy (enemy spotted)

45.3%Spray accuracy

85.6%Counter-strafing

7.4°Preaim

537msReaction time

39.3%T opening success

32.6%CT opening success

0.66Enemies flashed / flash

5.7%Flash assists

7.22HE damage / grenade

15.64Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.2655% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	2–13	-0.02	50%	28 Aug →
cache	13–10	0.08	12%	28 Aug →
inferno	11–13	-0.06	8%	28 Aug →
inferno	3–13	-0.08	17%	27 Aug →
cache	2–13	-0.05	14%	27 Aug →
dust2	2–13	-0.02	36%	27 Aug →
dust2	13–10	0.08	23%	25 Aug →
dust2	13–6	-0.01	33%	25 Aug →
dust2	13–9	0.06	25%	25 Aug →
cache	9–5	-0.00	15%	25 Aug →
dust2	9–13	0.03	37%	23 Aug →
anubis	13–11	-0.05	19%	23 Aug →
cache	9–13	-0.03	28%	23 Aug →
dust2	13–1	0.04	25%	23 Aug →
dust2	11–13	-0.05	24%	20 Aug →
dust2	13–10	0.04	25%	19 Aug →
dust2	7–13	0.02	18%	18 Aug →
ancient	19–16	0.05	21%	17 Aug →
cache	13–9	0.03	8%	17 Aug →
nuke	13–9	0.01	15%	13 Aug →
dust2	12–16	0.05	29%	10 Aug →
dust2	6–13	0.04	28%	10 Aug →
inferno	6–13	-0.04	11%	10 Aug →
dust2	13–7	0.04	11%	10 Aug →
dust2	12–12	0.03	24%	9 Aug →
ancient	6–13	-0.01	8%	9 Aug →
dust2	10–13	-0.01	31%	9 Aug →
dust2	7–13	0.11	25%	9 Aug →
cache	6–13	0.02	20%	9 Aug →
dust2	15–15	0.01	31%	8 Aug →
dust2	13–7	0.06	26%	8 Aug →
cache	15–15	0.02	10%	8 Aug →
nuke	13–11	0.03	27%	8 Aug →
anubis	10–13	0.02	15%	6 Aug →
dust2	9–13	0.13	13%	6 Aug →
inferno	6–13	0.01	26%	5 Aug →
dust2	13–9	0.09	29%	4 Aug →
dust2	13–11	0.11	25%	30 Jul →
nuke	13–16	0.02	26%	30 Jul →
inferno	2–13	-0.14	14%	29 Jul →
cache	13–9	0.02	11%	29 Jul →
inferno	11–13	0.01	26%	28 Jul →
anubis	9–13	-0.02	17%	28 Jul →
inferno	3–13	0.08	11%	26 Jul →
dust2	13–5	0.07	14%	26 Jul →
inferno	11–13	-0.01	20%	21 Jul →
anubis	16–13	0.03	20%	20 Jul →
dust2	13–10	0.02	17%	20 Jul →
anubis	13–6	0.06	21%	20 Jul →
dust2	13–8	0.04	17%	19 Jul →
dust2	13–10	0.05	58%	19 Jul →
nuke	13–0	0.07	15%	19 Jul →
dust2	4–13	0.03	25%	17 Jul →
nuke	8–13	0.05	9%	17 Jul →
dust2	13–8	0.01	14%	17 Jul →
dust2	13–11	0.03	21%	17 Jul →
ancient	13–16	-0.01	7%	15 Jul →
inferno	13–8	-0.02	7%	15 Jul →
dust2	13–8	0.01	25%	15 Jul →
cache	12–12	0.10	25%	12 Jul →
dust2	12–12	0.01	22%	12 Jul →
cache	13–8	0.11	24%	12 Jul →
nuke	2–13	-0.05	24%	9 Jul →
dust2	7–13	0.03	15%	9 Jul →
inferno	14–16	0.00	12%	5 Jul →
inferno	13–7	0.07	19%	5 Jul →
dust2	6–13	-0.04	21%	3 Jul →
anubis	2–13	-0.04	16%	3 Jul →
dust2	13–7	0.07	22%	3 Jul →
mirage	16–14	0.03	21%	3 Jul →
cache	3–13	-0.05	21%	30 Jun →
dust2	13–9	0.04	35%	30 Jun →
nuke	13–11	-0.02	28%	30 Jun →
dust2	4–13	-0.02	10%	30 Jun →
dust2	4–13	0.12	27%	28 Jun →
nuke	10–13	0.01	25%	28 Jun →
nuke	4–13	-0.04	38%	28 Jun →
overpass	13–3	0.03	9%	25 Jun →
dust2	13–4	0.01	27%	25 Jun →
dust2	16–14	-0.03	14%	25 Jun →
inferno	13–8	-0.05	6%	24 Jun →
ancient	5–13	-0.04	26%	23 Jun →
nuke	13–11	0.00	29%	23 Jun →
ancient	13–8	0.01	18%	19 Jun →
dust2	13–11	0.04	29%	19 Jun →
inferno	13–11	0.01	14%	19 Jun →
nuke	10–13	0.00	24%	18 Jun →
anubis	13–8	0.03	31%	18 Jun →
anubis	13–16	-0.03	10%	17 Jun →
ancient	2–13	-0.05	7%	17 Jun →
inferno	13–5	0.05	21%	14 Jun →
ancient	11–13	0.01	13%	14 Jun →
inferno	13–11	0.09	19%	14 Jun →
inferno	10–13	0.02	10%	12 Jun →
anubis	13–7	0.05	24%	12 Jun →
inferno	13–11	-0.01	10%	12 Jun →
dust2	13–1	0.10	33%	12 Jun →
cache	12–12	-0.01	18%	11 Jun →
nuke	12–12	0.00	15%	11 Jun →
dust2	13–5	0.03	28%	11 Jun →