|-|aVV|< — CS2 Stats

76561198424919772[U:1:464654044]Steam profile ↗✓ No bans

1,320Tracked matches38%Win rate2020Tracked since

CSDB Rating2.6 Learning

Premier CS Rating11,310Blue band · top ~48% of ranked players (population est.)

CSDB Leaderboard#17989 of 25165 tracked

FaceitLevel 2 · 916 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim19

Positioning43

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLLWLLWWWLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim1.9

Aggression2.9

Utility4.8

Positioning4.3

Opening Duels0.0

Clutch2.6

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 NiKo 71% 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. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim1.9

Positioning4.3

Utility4.8

Mechanics2.9

Opening Duels0.3

Win Impact1.0

Composite 2.6/10 (Learning), 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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time642ms−63ms

first ⅓ avg 705ms → last ⅓ avg 642ms

Headshot accuracy12.3%−2.2%

first ⅓ avg 14.6% → last ⅓ avg 12.3%

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

0.15Best rating — dust2 13–4

13–0Biggest win — inferno

9Longest win streak

L2Current streak

7–8In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 68% over 19nukeWeakest map · 8% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	-0.02
inferno	B	21	11–10	52%	-0.01
dust2	S	19	13–6	68%	-0.01
anubis	B	12	6–6	50%	-0.02
nuke	D	12	1–11	8%	-0.04
ancient	C	11	4–7	36%	-0.01
cache	—	3	2–1	67%	0.03
overpass	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

157Matches

50%Win rate

0.78Avg K/D

62.3ADR

38%Headshot %

Clutches & streaks

33%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	46%	0.79	11.9
Inferno	32	59%	0.94	13.2
Dust2	28	50%	0.70	10.0
Anubis	14	71%	0.87	12.4
Ancient	13	62%	0.78	12.9
Nuke	10	10%	0.65	11.4
Cache	5	60%	0.74	12.0
Overpass	2	0%	0.52	8.5

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.

12.4%Headshot accuracy

27.3%Accuracy (enemy spotted)

26.4%Spray accuracy

62.9%Counter-strafing

12.4°Preaim

641msReaction time

32.4%T opening success

23.1%CT opening success

0.54Enemies flashed / flash

1.4%Flash assists

12.34HE damage / grenade

5.21Flashes / 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 12.3506° — 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 12.3839% — below the 15% mark we flag
Aim Training →

Spend your practice time on Nuke

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	-0.01	19%	28 Aug →
ancient	3–13	-0.09	23%	28 Aug →
mirage	13–11	-0.02	17%	28 Aug →
anubis	14–16	-0.03	16%	28 Aug →
dust2	12–16	-0.01	12%	28 Aug →
anubis	16–13	-0.02	13%	26 Aug →
inferno	13–8	-0.02	13%	26 Aug →
dust2	13–6	-0.05	5%	24 Aug →
mirage	6–13	-0.04	21%	24 Aug →
inferno	2–13	-0.07	4%	22 Aug →
cache	13–8	0.03	7%	22 Aug →
ancient	15–15	0.02	12%	21 Aug →
ancient	8–13	0.02	7%	21 Aug →
mirage	12–16	-0.02	5%	17 Aug →
mirage	8–13	-0.02	15%	17 Aug →
inferno	12–16	-0.06	12%	17 Aug →
anubis	13–10	0.03	3%	14 Aug →
dust2	13–8	-0.06	8%	14 Aug →
nuke	7–13	-0.11	10%	14 Aug →
mirage	13–10	-0.03	16%	14 Aug →
inferno	13–9	-0.02	15%	14 Aug →
dust2	13–3	-0.00	19%	14 Aug →
mirage	10–13	-0.03	22%	13 Aug →
nuke	7–13	-0.05	9%	13 Aug →
anubis	7–13	-0.05	18%	13 Aug →
dust2	6–13	-0.08	4%	13 Aug →
ancient	9–13	0.04	14%	11 Aug →
anubis	8–13	-0.00	8%	11 Aug →
nuke	10–13	0.05	19%	11 Aug →
anubis	16–13	0.00	7%	10 Aug →
dust2	13–11	-0.05	6%	10 Aug →
ancient	13–2	0.12	18%	8 Aug →
inferno	13–9	-0.02	13%	8 Aug →
dust2	13–7	-0.00	4%	8 Aug →
ancient	13–8	0.04	17%	8 Aug →
inferno	13–0	0.10	11%	8 Aug →
mirage	13–5	-0.00	15%	8 Aug →
cache	13–4	0.06	15%	6 Aug →
nuke	3–13	-0.08	9%	4 Aug →
anubis	11–13	-0.09	4%	3 Aug →
mirage	13–6	-0.04	13%	3 Aug →
dust2	13–10	-0.01	14%	3 Aug →
dust2	7–13	-0.01	10%	3 Aug →
anubis	13–4	0.07	12%	3 Aug →
inferno	13–1	0.01	29%	3 Aug →
mirage	7–13	-0.02	18%	3 Aug →
inferno	13–11	-0.04	22%	1 Aug →
inferno	13–16	-0.03	10%	30 Jul →
nuke	10–13	-0.06	16%	30 Jul →
mirage	13–6	-0.03	16%	27 Jul →
dust2	13–8	0.05	25%	27 Jul →
anubis	13–10	0.01	10%	27 Jul →
inferno	13–16	0.01	9%	27 Jul →
dust2	11–13	0.04	13%	25 Jul →
mirage	5–13	-0.02	15%	25 Jul →
dust2	13–4	0.15	13%	25 Jul →
mirage	13–5	-0.06	12%	25 Jul →
cache	11–13	-0.01	13%	25 Jul →
inferno	15–15	-0.03	11%	23 Jul →
inferno	7–13	0.04	8%	22 Jul →
inferno	13–10	0.02	15%	22 Jul →
dust2	13–11	-0.00	14%	22 Jul →
nuke	9–13	-0.03	23%	17 Jul →
mirage	13–7	-0.01	9%	17 Jul →
inferno	13–4	-0.03	11%	17 Jul →
dust2	13–4	-0.02	6%	17 Jul →
anubis	0–13	-0.11	9%	16 Jul →
nuke	11–13	-0.06	11%	15 Jul →
nuke	3–13	-0.09	7%	15 Jul →
dust2	7–13	-0.08	12%	13 Jul →
mirage	11–13	-0.06	15%	13 Jul →
inferno	8–13	-0.03	13%	13 Jul →
mirage	4–13	-0.09	13%	11 Jul →
nuke	15–15	-0.04	10%	11 Jul →
mirage	7–13	-0.06	13%	6 Jul →
inferno	4–13	-0.07	13%	6 Jul →
ancient	16–19	-0.05	18%	4 Jul →
ancient	13–11	-0.05	15%	4 Jul →
nuke	15–15	-0.02	18%	4 Jul →
inferno	13–9	-0.02	19%	4 Jul →
dust2	11–13	-0.06	15%	4 Jul →
anubis	5–13	-0.04	28%	4 Jul →
inferno	13–4	-0.04	26%	29 Jun →
dust2	16–14	-0.06	14%	27 Jun →
inferno	8–13	-0.09	10%	27 Jun →
ancient	10–13	-0.05	14%	13 Jun →
nuke	8–9	0.02	17%	13 Jun →
mirage	9–13	-0.03	17%	13 Jun →
inferno	10–13	0.06	24%	13 Jun →
ancient	7–13	-0.09	8%	8 Jun →
dust2	13–9	0.01	16%	8 Jun →
nuke	10–13	-0.01	13%	6 Jun →
mirage	13–3	0.00	13%	29 May →
inferno	13–2	0.06	18%	29 May →
overpass	13–6	-0.00	17%	29 May →
dust2	13–0	-0.02	0%	29 May →
mirage	13–6	0.04	16%	29 May →
mirage	13–3	0.01	19%	26 May →
anubis	13–10	-0.05	13%	23 May →
ancient	16–13	-0.01	6%	23 May →