. — CS2 Stats

76561198131763163[U:1:171497435]Steam profile ↗✓ No bans

4,042Tracked matches53%Win rate2020Tracked since

CSDB Rating3.0 Learning

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim17

Positioning31

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim1.7

Aggression0.8

Utility5.4

Positioning3.1

Opening Duels0.0

Clutch2.8

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 65% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 613ms 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

Aim1.7

Positioning3.1

Utility5.4

Mechanics3.2

Opening Duels0.1

Win Impact6.1

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-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time617ms−55ms

first ⅓ avg 672ms → last ⅓ avg 617ms

Headshot accuracy14.2%−1.7%

first ⅓ avg 15.9% → last ⅓ avg 14.2%

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

0.04Best rating — inferno 13–3

13–0Biggest win — anubis

5Longest win streak

11–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 71% over 7cacheWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	17	9–8	53%	-0.02
inferno	B	16	8–8	50%	-0.03
cache	D	14	3–11	21%	-0.04
mirage	A	13	8–5	62%	-0.02
anubis	A	12	7–5	58%	-0.03
dust2	D	11	3–8	27%	-0.04
overpass	B	8	4–4	50%	-0.02
nuke	S	7	5–2	71%	-0.02
vertigo	—	1	1–0	100%	-0.04
train	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Faceit stats

Combat

5,221Matches

49%Win rate

0.87Avg K/D

64.5ADR

40%Headshot %

Clutches & streaks

34%1v1 clutch win

16%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	569	50%	0.84	12.4
Ancient	367	49%	0.80	13.0
Anubis	298	50%	0.75	12.0
Inferno	242	52%	0.84	12.5
Vertigo	168	46%	0.84	13.2
Dust2	134	37%	0.67	11.0
Overpass	70	54%	0.84	13.3
Nuke	63	60%	0.81	12.1

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.

13.8%Headshot accuracy

25.8%Accuracy (enemy spotted)

26.5%Spray accuracy

64.5%Counter-strafing

14.2°Preaim

613msReaction time

16.4%T opening success

30.6%CT opening success

0.64Enemies flashed / flash

2.7%Flash assists

6.83HE damage / grenade

13.12Flashes / 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 14.163° — 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 13.7509% — below the 15% mark we flag
Aim Training →

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–7	-0.02	13%	23 Aug →
dust2	17–19	-0.06	7%	23 Aug →
nuke	13–8	-0.03	9%	16 Aug →
anubis	13–6	0.02	21%	16 Aug →
nuke	13–10	-0.01	11%	14 Aug →
ancient	13–4	0.04	15%	14 Aug →
cache	9–13	-0.09	18%	3 Aug →
cache	10–13	-0.02	15%	3 Aug →
cache	8–13	-0.07	17%	25 Jul →
anubis	13–8	-0.07	2%	8 Jul →
inferno	13–11	-0.02	9%	7 Jul →
ancient	7–13	-0.04	12%	7 Jul →
inferno	4–13	-0.07	8%	7 Jul →
ancient	7–13	0.00	34%	7 Jul →
cache	13–16	0.01	5%	6 Jul →
ancient	11–13	0.00	15%	6 Jul →
anubis	13–7	-0.05	4%	6 Jul →
overpass	16–12	-0.04	19%	5 Jul →
anubis	5–13	-0.10	3%	2 Jul →
mirage	13–8	-0.03	26%	2 Jul →
mirage	13–7	-0.02	16%	2 Jul →
inferno	13–3	0.04	10%	2 Jul →
cache	10–13	-0.01	14%	2 Jul →
mirage	13–9	0.01	10%	2 Jul →
ancient	13–5	-0.10	16%	1 Jul →
ancient	13–9	-0.02	18%	29 Jun →
inferno	3–9	-0.06	11%	29 Jun →
dust2	13–11	-0.07	18%	29 Jun →
dust2	11–13	-0.01	15%	29 Jun →
overpass	10–13	-0.03	23%	29 Jun →
cache	13–11	-0.02	33%	29 Jun →
ancient	13–6	-0.06	13%	29 Jun →
mirage	4–13	-0.08	7%	28 Jun →
dust2	13–11	-0.03	15%	28 Jun →
overpass	10–13	0.02	22%	26 Jun →
cache	8–13	-0.05	23%	25 Jun →
mirage	13–5	-0.02	24%	24 Jun →
overpass	5–13	-0.07	11%	24 Jun →
anubis	9–13	-0.03	21%	23 Jun →
dust2	4–13	-0.11	10%	23 Jun →
ancient	16–14	-0.07	23%	23 Jun →
inferno	3–13	-0.07	14%	21 Jun →
overpass	13–8	-0.05	12%	21 Jun →
inferno	11–13	-0.01	8%	20 Jun →
dust2	5–13	-0.01	24%	20 Jun →
ancient	12–12	-0.05	13%	20 Jun →
nuke	8–13	-0.02	4%	18 Jun →
dust2	10–13	-0.04	15%	18 Jun →
nuke	13–5	-0.00	9%	18 Jun →
mirage	16–12	0.01	11%	18 Jun →
mirage	12–16	-0.02	20%	17 Jun →
inferno	13–10	0.01	13%	17 Jun →
ancient	9–13	-0.06	22%	17 Jun →
inferno	13–10	-0.11	20%	16 Jun →
ancient	19–22	-0.02	15%	16 Jun →
nuke	13–8	-0.00	19%	16 Jun →
anubis	11–13	-0.00	17%	15 Jun →
inferno	13–6	0.04	21%	15 Jun →
cache	9–13	-0.03	18%	15 Jun →
mirage	13–16	-0.02	13%	15 Jun →
nuke	9–13	-0.04	7%	9 Jun →
cache	10–13	-0.01	21%	9 Jun →
vertigo	13–9	-0.04	13%	8 Jun →
ancient	13–11	0.02	14%	8 Jun →
ancient	13–3	0.01	19%	6 Jun →
inferno	7–13	-0.06	11%	3 Jun →
anubis	13–8	0.03	9%	3 Jun →
inferno	13–11	-0.04	6%	2 Jun →
ancient	10–13	-0.02	22%	2 Jun →
cache	0–13	-0.09	17%	2 Jun →
mirage	5–13	-0.06	7%	1 Jun →
overpass	13–11	0.01	15%	1 Jun →
dust2	5–13	-0.07	14%	1 Jun →
inferno	16–14	0.01	16%	1 Jun →
dust2	6–13	-0.02	18%	31 May →
inferno	9–13	-0.07	10%	31 May →
inferno	13–8	-0.01	16%	31 May →
dust2	4–4	-0.08	11%	31 May →
anubis	12–12	0.00	12%	31 May →
mirage	1–9	-0.01	13%	31 May →
overpass	10–13	-0.02	24%	31 May →
overpass	13–10	0.04	12%	29 May →
inferno	4–13	-0.03	16%	29 May →
anubis	13–0	0.00	14%	29 May →
ancient	10–13	-0.02	21%	27 May →
cache	7–13	-0.07	12%	26 May →
mirage	13–10	0.04	30%	26 May →
ancient	13–3	0.04	19%	24 May →
cache	13–6	-0.05	26%	24 May →
train	13–6	0.01	15%	24 May →
anubis	13–9	-0.05	19%	22 May →
anubis	18–22	-0.06	16%	22 May →
ancient	13–10	-0.00	19%	22 May →
dust2	8–13	0.03	10%	21 May →
cache	13–9	-0.06	19%	17 May →
mirage	13–11	-0.05	13%	17 May →
nuke	13–9	-0.03	14%	17 May →
mirage	13–9	-0.02	16%	16 May →
cache	4–13	-0.04	13%	16 May →
inferno	15–19	-0.05	20%	13 May →