𝒥𝑒𝓃𝓍 — CS2 Stats

FI76561198253882532[U:1:293616804]Steam profile ↗✓ No bans

4,267Tracked matches28%Win rate2020Tracked since

4,543Hours in CS

CSDB Rating3.0 LearningSupport

CSDB Leaderboard#99831 of 234459 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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. 30 days played since 28 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: 18,198 +646 28 Feb – 7 May · 26 days played

20,106Peak Premier in tracked matches

30Days played since 2026-02-28

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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 3 median	Level 4 median	vs Level 4
Headshot rate	33.8%	41.9%	42.7%	8.9% short
Shot accuracy	20.4%	12.2%	11.3%	above
Kill/death ratio	0.76	0.98	0.99	0.23 short
Match win rate	37.7%	43.3%	43.9%	6.3% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim33

Positioning28

Utility66

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLWLWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −3.1pp headshot accuracy · −30ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 11%
Avg reaction 644ms

Last 10

2–8 · 20% win rate
Avg rating -0.04
Avg headshot accuracy 12%
Avg reaction 663ms

Last 20

6–13–1 · 30% win rate
Avg rating -0.04
Avg headshot accuracy 13%
Avg reaction 678ms

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: Support — Utility contribution stands above the rest of this profile (+3.7 against its own average).

Aim3.3

Utility6.6

Positioning2.8

Opening Duels0.0

Clutch2.4

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 Twistzz 63% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower 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

Areas to improve

Reaction time. 707ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3

Positioning2.8

Utility6.6

Mechanics3.2

Opening Duels0.0

Win Impact0.0

Composite 3.0/10 (Learning), 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 rating-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time710ms+7ms

first ⅓ avg 702ms → last ⅓ avg 710ms

Headshot accuracy14.4%+1.7%

first ⅓ avg 12.8% → last ⅓ avg 14.4%

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

0.07Best match rating · 13–6 · nuke, 3 Apr →

34%Best headshot accuracy · 6–13 · ancient, 2 May →

453msFastest reaction time · 10–13 · nuke, 23 Apr →

13–2Biggest win · dust2, 26 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

2–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 65% over 23ancientWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	28	9–19	32%	-0.04
nuke	S	23	15–8	65%	-0.03
inferno	A	23	14–9	61%	-0.03
ancient	D	9	1–8	11%	-0.05
overpass	B	8	4–4	50%	-0.04
dust2	—	4	2–2	50%	-0.03
cache	—	3	0–3	0%	-0.03
anubis	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

192,869Lifetime kills

0.76K/D

14,689Matches

37.7%Match win rate

33.8%Headshot %

20.4%Shot accuracy · Top 5% of Level 3 players

13,847MVPs

4,543Hours (in match)

7,421Bombs planted

1,664Bombs defused

Most-used weapons

M4A4 / M4A1-S34,950

Galil AR29,182

AK-4716,223

FAMAS13,487

MP910,675

Five-SeveN8,935

Tec-98,875

MAC-105,475

P2000 / USP-S5,414

AWP4,994

Lifetime map wins

27,530inferno

12,651nuke

8,127dust2

4,312vertigo

3,426train

1,250office

1,165safehouse

1,147lake

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

Faceit stats

Combat

522Matches

50%Win rate

0.66Avg K/D

59.8ADR

36%Headshot %

Clutches & streaks

32%1v1 clutch win

15%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	24	62%	0.67	10.9
Nuke	17	41%	0.67	10.9
Dust2	11	82%	0.51	8.8
Mirage	11	64%	0.53	9.2
Vertigo	9	56%	0.84	12.7
Train	5	60%	1.00	9.4
Overpass	3	67%	0.66	11.0
Ancient	3	33%	0.50	10.0

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.

14.0%Headshot accuracy

35.3%Accuracy (enemy spotted)

38.0%Spray accuracy

64.3%Counter-strafing

13.1°Preaim

707msReaction time

13.3%T opening success

18.1%CT opening success

0.66Enemies flashed / flash

5.1%Flash assists

13.04HE damage / grenade

14.66Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.0646° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.0203% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 706.7429ms — above the 700ms mark we flag
Aim Training →

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.

11% win rate across 9 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
mirage	11–13	-0.05	8%	14 Aug →
mirage	6–13	-0.08	7%	14 Aug →
anubis	13–10	-0.02	8%	14 Aug →
cache	7–13	-0.03	23%	14 Aug →
nuke	13–7	-0.04	8%	16 Jul →
ancient	5–13	-0.05	13%	16 Jul →
cache	8–13	-0.01	13%	16 Jul →
mirage	9–13	-0.04	12%	12 Jun →
nuke	11–13	-0.05	14%	12 Jun →
inferno	14–16	0.01	9%	12 Jun →
mirage	8–13	0.01	16%	24 May →
inferno	10–13	-0.03	15%	24 May →
nuke	13–8	-0.06	8%	7 May →
mirage	8–13	-0.04	21%	7 May →
dust2	13–8	0.00	19%	7 May →
inferno	13–9	-0.06	11%	6 May →
ancient	11–13	-0.06	9%	6 May →
nuke	13–8	-0.01	15%	6 May →
ancient	15–15	-0.08	16%	5 May →
mirage	11–13	-0.07	18%	5 May →
ancient	7–13	-0.05	13%	3 May →
nuke	10–13	-0.05	13%	3 May →
dust2	8–13	-0.07	24%	3 May →
mirage	13–9	-0.02	12%	3 May →
mirage	10–13	-0.04	17%	3 May →
mirage	9–13	-0.10	14%	2 May →
ancient	6–13	-0.03	34%	2 May →
nuke	10–13	-0.06	16%	2 May →
nuke	13–6	0.01	11%	1 May →
nuke	11–13	-0.04	8%	1 May →
mirage	6–13	-0.06	13%	1 May →
inferno	13–6	-0.01	17%	29 Apr →
nuke	13–10	-0.02	22%	29 Apr →
cache	10–13	-0.05	18%	29 Apr →
mirage	13–9	-0.06	14%	26 Apr →
inferno	13–7	0.06	22%	26 Apr →
dust2	13–2	-0.01	17%	26 Apr →
inferno	13–10	0.04	17%	26 Apr →
nuke	10–13	-0.07	19%	26 Apr →
overpass	2–13	-0.06	0%	25 Apr →
nuke	13–10	-0.03	12%	25 Apr →
inferno	6–13	-0.06	6%	25 Apr →
inferno	7–13	-0.05	18%	25 Apr →
ancient	8–13	-0.04	15%	25 Apr →
inferno	13–11	-0.01	10%	24 Apr →
nuke	13–8	-0.02	15%	24 Apr →
inferno	13–8	-0.09	11%	24 Apr →
mirage	11–13	-0.01	21%	24 Apr →
nuke	10–13	-0.08	3%	23 Apr →
nuke	13–9	-0.04	11%	23 Apr →
mirage	13–7	-0.07	14%	23 Apr →
nuke	13–7	0.03	6%	20 Apr →
ancient	13–6	0.02	29%	20 Apr →
mirage	6–13	-0.01	20%	20 Apr →
nuke	3–13	-0.08	18%	19 Apr →
inferno	13–3	-0.03	13%	19 Apr →
overpass	14–16	-0.07	9%	18 Apr →
overpass	13–10	-0.03	10%	18 Apr →
inferno	7–13	-0.05	9%	18 Apr →
mirage	6–13	-0.06	14%	18 Apr →
nuke	13–10	-0.08	5%	12 Apr →
mirage	13–3	-0.02	10%	12 Apr →
inferno	11–13	-0.05	10%	10 Apr →
mirage	13–3	-0.02	3%	10 Apr →
inferno	13–7	-0.02	16%	10 Apr →
inferno	13–10	-0.03	10%	10 Apr →
inferno	8–13	-0.08	13%	10 Apr →
overpass	13–16	-0.07	10%	8 Apr →
nuke	13–6	-0.07	9%	8 Apr →
mirage	13–10	-0.03	6%	8 Apr →
mirage	13–9	-0.00	20%	8 Apr →
ancient	10–13	-0.06	12%	8 Apr →
nuke	13–10	-0.07	21%	8 Apr →
mirage	12–16	-0.03	11%	7 Apr →
inferno	13–6	0.01	10%	7 Apr →
mirage	8–13	-0.04	14%	7 Apr →
overpass	13–5	-0.01	13%	6 Apr →
overpass	10–13	-0.00	11%	6 Apr →
inferno	13–2	-0.02	28%	6 Apr →
mirage	15–15	-0.01	18%	6 Apr →
inferno	13–9	0.00	12%	5 Apr →
dust2	10–13	-0.03	14%	5 Apr →
inferno	7–13	-0.04	8%	5 Apr →
nuke	15–15	-0.01	15%	5 Apr →
inferno	8–13	-0.04	8%	5 Apr →
mirage	13–6	-0.04	12%	3 Apr →
nuke	13–6	0.07	15%	3 Apr →
inferno	13–11	-0.00	10%	3 Apr →
inferno	13–8	-0.07	11%	14 Mar →
mirage	6–13	-0.01	20%	14 Mar →
mirage	10–13	-0.04	14%	14 Mar →
overpass	16–12	-0.01	15%	9 Mar →
nuke	13–9	-0.05	8%	8 Mar →
overpass	13–5	-0.05	3%	8 Mar →
ancient	5–13	-0.07	17%	8 Mar →
mirage	11–13	-0.05	14%	8 Mar →
anubis	11–13	-0.06	9%	1 Mar →
mirage	6–13	-0.08	14%	1 Mar →
mirage	13–8	-0.03	10%	1 Mar →
nuke	13–5	0.03	14%	28 Feb →