yOkeNN — CS2 Stats

FR76561198153953003[U:1:193687275]Steam profile ↗✓ No bans

1,451Tracked matches38%Win rate2023Tracked since

CSDB Rating5.9 SolidPositional Player

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,451 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 61 days played since 12 Feb 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,500 +886 12 Feb – 29 May · 24 days played

26,470Peak Premier in tracked matches

61Days played since 2026-02-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim81

Positioning62

Utility61

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLTLLLLLLLW

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +0.8pp headshot accuracy · +67ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

0–4–1 · 0% win rate
Avg rating -0.03
Avg headshot accuracy 22%
Avg reaction 606ms

Last 10

1–8–1 · 10% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 578ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 545ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim8.1

Utility6.1

Positioning6.2

Opening Duels3.8

Clutch4.0

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 93% playstyle similarity

Most alike: utility contribution, positioning 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

Areas to improve

Reaction time. 553ms 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

Aim8.1

Positioning6.2

Utility6.1

Mechanics6.2

Opening Duels3.3

Win Impact1.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time546ms−88ms

first ⅓ avg 634ms → last ⅓ avg 546ms

Headshot accuracy19.5%−0.9%

first ⅓ avg 20.4% → last ⅓ avg 19.5%

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.

Personal bests

0.19Best match rating · 13–5 · inferno, 3 May →

43%Best headshot accuracy · 11–2 · dust2, 10 Mar →

422msFastest reaction time · 13–9 · anubis, 16 Apr →

13–2Biggest win · inferno, 17 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak

8–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 57% over 7mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	28	9–19	32%	0.01
dust2	B	24	13–11	54%	0.01
anubis	B	23	12–11	52%	0.01
ancient	A	7	4–3	57%	0.03
overpass	A	7	4–3	57%	0.03
mirage	D	6	1–5	17%	0.02
nuke	—	4	1–3	25%	0.05
cache	—	1	0–1	0%	0.15

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,591Matches

51%Win rate

1.15Avg K/D

79.7ADR

49%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	298	57%	1.14	15.2
Dust2	235	48%	1.08	15.7
Anubis	224	52%	1.09	15.7
Nuke	128	43%	1.03	15.4
Ancient	60	50%	1.20	16.9
Overpass	40	50%	1.33	16.4
Mirage	29	34%	1.08	16.7
Vertigo	10	50%	1.19	15.8

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.

19.7%Headshot accuracy

36.4%Accuracy (enemy spotted)

40.7%Spray accuracy

77.9%Counter-strafing

8.2°Preaim

553msReaction time

45.7%T opening success

41.1%CT opening success

0.56Enemies flashed / flash

8.7%Flash assists

8.27HE damage / grenade

9.63Flashes / match

Recommended for you

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	14–16	0.01	13%	13 Jul →
inferno	15–15	0.02	25%	1 Jul →
anubis	10–13	-0.10	15%	25 Jun →
dust2	11–13	-0.03	30%	18 Jun →
inferno	6–13	-0.05	26%	7 Jun →
mirage	8–13	-0.05	20%	7 Jun →
anubis	10–13	-0.01	15%	4 Jun →
inferno	1–13	-0.06	14%	4 Jun →
dust2	11–13	-0.01	26%	2 Jun →
anubis	13–8	0.05	29%	2 Jun →
ancient	13–11	0.02	33%	1 Jun →
dust2	13–5	0.04	29%	29 May →
anubis	13–5	0.05	32%	29 May →
ancient	2–13	-0.05	11%	29 May →
inferno	13–11	0.06	24%	28 May →
dust2	9–13	-0.03	16%	27 May →
anubis	11–13	-0.00	13%	27 May →
inferno	3–13	-0.05	19%	25 May →
dust2	13–9	-0.02	11%	23 May →
dust2	13–5	-0.00	17%	23 May →
inferno	10–13	0.02	15%	21 May →
anubis	13–4	0.08	19%	21 May →
ancient	13–3	0.10	28%	20 May →
anubis	16–14	-0.02	13%	12 May →
dust2	5–13	0.02	14%	11 May →
inferno	10–13	-0.02	14%	10 May →
cache	8–13	0.15	14%	4 May →
anubis	3–13	-0.04	13%	3 May →
inferno	13–5	0.19	19%	3 May →
dust2	11–13	-0.04	24%	30 Apr →
inferno	11–13	0.04	16%	28 Apr →
dust2	9–13	0.04	22%	28 Apr →
inferno	16–12	0.05	16%	23 Apr →
anubis	3–13	0.04	30%	22 Apr →
inferno	8–13	0.02	21%	21 Apr →
dust2	6–13	-0.05	11%	21 Apr →
inferno	13–8	-0.00	17%	20 Apr →
nuke	6–13	-0.04	5%	18 Apr →
inferno	13–2	0.09	19%	17 Apr →
inferno	6–13	-0.09	17%	17 Apr →
inferno	16–14	0.00	17%	16 Apr →
anubis	13–9	0.01	12%	16 Apr →
inferno	6–13	0.01	18%	11 Apr →
mirage	8–13	-0.06	12%	10 Apr →
anubis	13–11	-0.03	10%	10 Apr →
mirage	7–13	0.08	15%	10 Apr →
overpass	13–7	0.05	22%	7 Apr →
dust2	10–13	-0.02	30%	3 Apr →
inferno	9–13	0.02	13%	3 Apr →
dust2	13–2	-0.01	19%	3 Apr →
anubis	22–19	0.03	12%	1 Apr →
inferno	5–13	-0.05	13%	1 Apr →
anubis	13–9	-0.03	7%	31 Mar →
anubis	5–13	-0.03	24%	29 Mar →
ancient	13–16	-0.01	15%	29 Mar →
inferno	4–13	-0.06	14%	27 Mar →
ancient	7–13	0.06	25%	27 Mar →
anubis	13–10	0.02	15%	23 Mar →
anubis	8–13	0.03	6%	21 Mar →
dust2	13–11	0.01	29%	21 Mar →
dust2	13–6	0.03	24%	21 Mar →
mirage	9–13	-0.01	16%	19 Mar →
inferno	9–13	0.06	11%	17 Mar →
anubis	14–16	0.06	18%	12 Mar →
overpass	8–13	0.05	8%	10 Mar →
dust2	11–2	0.05	43%	10 Mar →
dust2	19–16	0.00	19%	9 Mar →
inferno	10–13	0.00	20%	7 Mar →
anubis	13–10	0.07	27%	6 Mar →
dust2	7–13	0.01	20%	6 Mar →
overpass	4–13	-0.04	35%	6 Mar →
overpass	13–4	0.15	19%	5 Mar →
inferno	8–13	-0.01	13%	4 Mar →
dust2	13–9	0.02	25%	3 Mar →
overpass	2–13	-0.02	22%	2 Mar →
nuke	8–13	0.00	27%	1 Mar →
dust2	13–7	0.05	18%	1 Mar →
nuke	13–10	0.18	17%	28 Feb →
mirage	15–15	0.09	24%	27 Feb →
ancient	13–9	0.02	12%	27 Feb →
inferno	9–13	0.07	17%	27 Feb →
anubis	13–9	0.02	8%	25 Feb →
mirage	13–6	0.05	31%	25 Feb →
nuke	9–13	0.07	24%	23 Feb →
anubis	6–13	0.00	23%	22 Feb →
anubis	6–13	-0.01	28%	18 Feb →
dust2	13–8	0.02	19%	18 Feb →
ancient	13–5	0.08	17%	18 Feb →
anubis	11–13	0.02	16%	18 Feb →
overpass	13–3	-0.03	25%	16 Feb →
inferno	13–7	0.07	23%	16 Feb →
dust2	6–13	0.06	27%	16 Feb →
dust2	13–7	0.00	19%	15 Feb →
overpass	13–9	0.02	21%	15 Feb →
inferno	15–15	0.04	15%	13 Feb →
anubis	13–11	-0.01	14%	13 Feb →
inferno	13–7	0.01	15%	13 Feb →
inferno	11–13	0.02	30%	12 Feb →
dust2	13–8	0.04	14%	12 Feb →
inferno	13–11	0.01	11%	12 Feb →