. — CS2 Stats

76561198831841409[U:1:871575681]Steam profile ↗✓ No bans

1,245Tracked matches48%Win rate2023Tracked since

CSDB Rating3.5 LearningClutch Specialist

Premier CS Rating12,287Blue band · top ~42.8% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim23

Positioning50

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY31–64–5Last 10031%Win rateLWWLLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim2.3

Aggression5.1

Utility4.2

Positioning5.0

Opening Duels1.7

Clutch8.0

Strong CT-side openerReliable in 1v1s

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 78% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 52% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 723ms 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

Aim2.3

Positioning5.0

Utility4.2

Mechanics4.5

Opening Duels2.7

Win Impact4.4

Composite 3.5/10 (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-0.03+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time687ms+16ms

first ⅓ avg 672ms → last ⅓ avg 687ms

Headshot accuracy15.3%−4.3%

first ⅓ avg 19.6% → last ⅓ avg 15.3%

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

0.07Best rating — ancient 13–8

13–1Biggest win — mirage

3Longest win streak

6–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 54% over 13cacheWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	25	4–21	16%	-0.03
mirage	C	22	9–13	41%	-0.04
nuke	C	13	5–8	38%	-0.02
ancient	B	13	7–6	54%	-0.01
inferno	D	10	3–7	30%	-0.04
anubis	D	9	2–7	22%	-0.04
cache	D	5	0–5	0%	-0.03
overpass	—	2	0–2	0%	-0.02
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

10Matches

60%Win rate

0.90Avg K/D

67.1ADR

41%Headshot %

Clutches & streaks

60%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	40%	0.60	8.8
Dust2	2	100%	1.26	11.0
Nuke	1	100%	0.67	16.0
Ancient	1	100%	0.70	14.0
Inferno	1	0%	2.07	31.0

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.

14.9%Headshot accuracy

30.2%Accuracy (enemy spotted)

31.8%Spray accuracy

70.5%Counter-strafing

13.8°Preaim

723msReaction time

22.1%T opening success

51.6%CT opening success

0.60Enemies flashed / flash

4.9%Flash assists

5.48HE damage / grenade

7.44Flashes / 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 13.7538° — 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 14.9238% — 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 722.7735ms — above the 700ms 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	-0.03	11%	29 Aug →
mirage	13–9	-0.02	25%	29 Aug →
nuke	13–10	0.07	13%	29 Aug →
anubis	6–13	-0.06	25%	29 Aug →
mirage	8–13	0.01	17%	26 Aug →
vertigo	13–11	-0.02	17%	25 Aug →
inferno	9–13	-0.07	8%	25 Aug →
ancient	13–6	0.01	18%	25 Aug →
ancient	13–10	-0.02	18%	25 Aug →
dust2	2–10	0.05	29%	24 Aug →
cache	9–13	-0.03	13%	24 Aug →
mirage	13–1	-0.04	12%	24 Aug →
cache	9–13	-0.02	16%	23 Aug →
mirage	2–0	-0.15	0%	23 Aug →
dust2	13–6	0.01	13%	23 Aug →
dust2	5–13	-0.06	14%	22 Aug →
dust2	6–13	-0.02	18%	22 Aug →
anubis	1–13	-0.08	3%	22 Aug →
mirage	13–10	-0.01	14%	21 Aug →
inferno	4–13	-0.04	16%	21 Aug →
mirage	13–8	-0.04	11%	21 Aug →
mirage	15–15	-0.05	11%	19 Aug →
cache	8–13	0.03	13%	19 Aug →
ancient	5–13	-0.05	14%	18 Aug →
nuke	13–1	-0.03	36%	18 Aug →
cache	4–13	-0.10	10%	18 Aug →
mirage	13–11	-0.05	8%	17 Aug →
dust2	13–3	-0.01	11%	17 Aug →
dust2	13–3	-0.04	9%	17 Aug →
dust2	6–13	-0.02	21%	17 Aug →
mirage	7–13	-0.04	13%	17 Aug →
ancient	13–6	0.01	29%	17 Aug →
anubis	13–4	0.06	19%	16 Aug →
mirage	0–13	-0.06	27%	16 Aug →
cache	10–13	-0.02	17%	15 Aug →
mirage	9–13	-0.04	17%	15 Aug →
dust2	2–13	-0.07	20%	15 Aug →
ancient	13–9	-0.06	7%	15 Aug →
dust2	3–13	-0.08	30%	15 Aug →
anubis	10–13	-0.05	21%	14 Aug →
inferno	6–13	-0.01	24%	14 Aug →
dust2	10–13	0.00	8%	11 Aug →
ancient	10–13	0.02	12%	9 Aug →
inferno	7–13	-0.07	21%	6 Aug →
mirage	7–13	-0.06	33%	6 Aug →
nuke	13–9	-0.03	14%	4 Aug →
dust2	6–13	-0.05	13%	4 Aug →
inferno	15–15	-0.02	26%	27 Jul →
anubis	11–13	-0.02	18%	27 Jul →
dust2	6–13	-0.07	17%	25 Jun →
ancient	13–16	-0.00	16%	25 Jun →
inferno	13–10	-0.02	7%	25 Jun →
dust2	1–13	-0.05	7%	24 Jun →
dust2	5–13	-0.04	24%	24 Jun →
mirage	7–13	-0.02	10%	24 Jun →
mirage	3–13	-0.03	11%	23 Jun →
overpass	9–13	-0.03	13%	23 Jun →
ancient	8–13	-0.06	7%	21 Jun →
mirage	7–13	-0.06	8%	21 Jun →
mirage	3–13	-0.07	25%	21 Jun →
dust2	13–7	0.04	22%	20 Jun →
anubis	2–13	-0.02	14%	20 Jun →
dust2	2–13	-0.01	19%	20 Jun →
dust2	2–13	-0.03	16%	20 Jun →
nuke	11–13	-0.04	15%	19 Jun →
anubis	13–8	-0.00	23%	19 Jun →
inferno	13–7	-0.05	17%	19 Jun →
nuke	13–11	-0.00	21%	12 Jun →
anubis	13–16	-0.07	15%	12 Jun →
nuke	15–15	-0.03	17%	6 Jun →
ancient	5–13	-0.02	14%	4 Jun →
dust2	1–13	-0.09	25%	4 Jun →
nuke	8–13	-0.05	22%	3 Jun →
dust2	7–13	0.03	19%	3 Jun →
mirage	15–15	-0.05	27%	27 May →
nuke	1–10	-0.06	21%	25 May →
dust2	7–13	-0.02	17%	19 May →
nuke	13–7	-0.00	19%	19 May →
inferno	7–13	-0.05	10%	19 May →
ancient	13–8	-0.02	14%	15 May →
ancient	13–8	0.07	18%	15 May →
mirage	11–13	-0.08	15%	11 May →
inferno	13–11	-0.06	29%	11 May →
overpass	8–13	-0.01	17%	7 May →
dust2	12–16	0.01	19%	7 May →
dust2	7–13	-0.07	25%	7 May →
nuke	3–13	-0.04	14%	6 May →
mirage	13–11	-0.01	15%	4 May →
ancient	4–13	-0.02	14%	4 May →
mirage	13–7	-0.03	18%	4 May →
nuke	9–13	-0.05	14%	25 Apr →
ancient	13–9	-0.01	29%	24 Apr →
anubis	9–13	-0.08	19%	24 Apr →
dust2	3–13	-0.05	25%	24 Apr →
mirage	6–13	-0.04	28%	22 Apr →
dust2	6–13	0.01	16%	22 Apr →
mirage	13–10	-0.03	17%	22 Apr →
dust2	15–15	-0.04	24%	21 Apr →
nuke	3–13	-0.04	20%	15 Apr →
inferno	7–13	-0.06	30%	11 Apr →