Chin Deficient Pinhead — CS2 Stats

US76561198068852247[U:1:108586519]Steam profile ↗

2,104Tracked matches37%Win rate2020Tracked since

CSDB Rating2.5 Learning

FaceitLevel 5 · 1,070 ELOTop 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim30

Positioning42

Utility9

0–100 skill scores via Leetify.

Recent form

COLD32–62–6Last 10032%Win rateLLLLLWLLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.0

Aggression5.3

Utility0.9

Positioning4.2

Opening Duels1.5

Clutch0.4

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: 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

Reaction time. 682ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.0

Positioning4.2

Utility0.9

Mechanics4.4

Opening Duels1.5

Win Impact0.7

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.04

first ⅓ avg 0.00 → last ⅓ avg -0.04

Reaction time687ms−4ms

first ⅓ avg 691ms → last ⅓ avg 687ms

Headshot accuracy18.4%+3.1%

first ⅓ avg 15.2% → last ⅓ avg 18.4%

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.

Highlights

0.16Best rating — nuke 13–8

13–1Biggest win — train

4Longest win streak

L5Current streak

8–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

trainBest map · 71% over 7dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	32	12–20	38%	0.00
mirage	D	16	4–12	25%	-0.03
ancient	D	15	3–12	20%	-0.02
inferno	D	8	2–6	25%	-0.00
train	S	7	5–2	71%	-0.00
cache	D	6	2–4	33%	-0.01
dust2	D	6	1–5	17%	-0.00
vertigo	C	5	2–3	40%	-0.02
anubis	—	3	1–2	33%	-0.06
overpass	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches

48%Win rate

0.95Avg K/D

89.7ADR

48%Headshot %

Clutches & streaks

22%1v1 clutch win

14%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	8	75%	0.96	16.0
Inferno	4	50%	0.92	18.3
Mirage	3	33%	1.20	19.7
Vertigo	2	50%	0.83	14.0
Nuke	2	0%	0.92	16.0
Anubis	2	50%	1.00	22.0
Dust2	1	0%	0.78	14.0
Train	1	0%	0.54	15.0

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.

17.3%Headshot accuracy

32.7%Accuracy (enemy spotted)

34.9%Spray accuracy

69.9%Counter-strafing

15.4°Preaim

682msReaction time

31.4%T opening success

41.0%CT opening success

0.22Enemies flashed / flash

1.9%Flash assists

4.43HE damage / grenade

0.79Flashes / 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 15.4383° — above the 12° mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2191 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	3–13	-0.02	7%	24 Aug →
nuke	9–13	-0.03	25%	24 Aug →
nuke	10–13	-0.00	6%	18 Aug →
nuke	11–13	-0.02	15%	17 Aug →
nuke	10–13	-0.05	14%	17 Aug →
nuke	13–10	-0.02	16%	16 Aug →
nuke	10–13	-0.04	50%	16 Aug →
nuke	7–13	-0.00	33%	15 Aug →
nuke	13–10	-0.04	25%	31 Jul →
vertigo	13–8	-0.06	10%	23 Jul →
nuke	11–13	-0.08	8%	23 Jul →
nuke	9–13	-0.09	20%	18 Jul →
nuke	2–13	-0.07	20%	18 Jul →
vertigo	13–7	0.02	28%	5 Jul →
ancient	9–13	-0.01	11%	5 Jul →
ancient	8–13	-0.07	11%	2 Jul →
ancient	12–12	-0.02	12%	27 Jun →
nuke	3–4	-0.10	67%	27 Jun →
nuke	3–2	0.10	33%	21 Jun →
vertigo	11–13	-0.03	26%	21 Jun →
cache	13–11	-0.05	28%	19 Jun →
mirage	12–12	-0.08	11%	19 Jun →
mirage	7–13	-0.05	12%	18 Jun →
anubis	12–12	-0.03	11%	17 Jun →
vertigo	3–13	-0.07	4%	15 Jun →
mirage	6–13	-0.06	9%	15 Jun →
inferno	13–10	-0.05	18%	6 Jun →
anubis	10–13	-0.08	10%	6 Jun →
mirage	13–11	-0.06	10%	6 Jun →
cache	13–10	-0.04	16%	28 May →
vertigo	7–13	0.02	21%	23 May →
mirage	9–13	-0.06	15%	23 May →
anubis	13–11	-0.07	6%	20 May →
nuke	1–13	-0.07	15%	19 May →
cache	8–13	0.00	24%	19 May →
mirage	10–13	-0.05	21%	18 May →
cache	5–13	0.02	24%	18 May →
cache	8–13	0.02	17%	14 May →
cache	9–13	-0.02	8%	14 May →
ancient	8–13	-0.01	15%	8 Jan →
dust2	8–13	-0.05	11%	7 Jan →
nuke	9–13	0.07	15%	7 Jan →
inferno	8–13	-0.01	14%	2 Jan →
train	11–13	-0.04	14%	29 Dec →
nuke	16–12	-0.04	12%	29 Dec →
train	13–11	0.07	14%	29 Dec →
ancient	11–3	0.09	34%	29 Dec →
overpass	9–13	0.01	31%	29 Dec →
dust2	13–10	0.06	17%	29 Dec →
nuke	13–5	0.03	19%	26 Dec →
nuke	8–13	-0.06	15%	26 Dec →
overpass	3–13	-0.02	18%	26 Dec →
nuke	13–8	0.16	18%	26 Dec →
nuke	9–13	-0.00	15%	26 Dec →
dust2	15–15	-0.01	17%	26 Dec →
inferno	11–13	-0.01	13%	26 Dec →
ancient	7–13	-0.07	25%	24 Dec →
nuke	9–13	0.02	11%	24 Dec →
ancient	7–13	-0.02	14%	24 Dec →
dust2	14–16	-0.01	8%	17 Dec →
mirage	7–13	-0.08	11%	17 Dec →
ancient	13–11	-0.01	23%	17 Dec →
mirage	5–13	-0.01	15%	16 Dec →
train	13–1	-0.01	4%	16 Dec →
inferno	10–13	-0.02	18%	15 Dec →
mirage	13–10	0.06	16%	15 Dec →
inferno	9–13	0.00	22%	11 Dec →
ancient	2–13	-0.02	12%	11 Dec →
ancient	13–6	0.02	8%	11 Dec →
mirage	15–15	-0.00	12%	10 Dec →
nuke	8–13	0.01	20%	10 Dec →
nuke	7–10	0.03	18%	7 Dec →
nuke	13–2	0.13	7%	7 Dec →
ancient	10–13	-0.08	7%	7 Dec →
nuke	12–12	-0.03	21%	6 Dec →
inferno	3–13	-0.01	16%	6 Dec →
dust2	9–13	0.00	21%	6 Dec →
mirage	13–5	-0.02	13%	5 Dec →
nuke	13–3	0.05	21%	5 Dec →
train	13–9	-0.02	8%	4 Dec →
inferno	13–10	0.08	13%	2 Dec →
nuke	8–13	0.03	21%	2 Dec →
inferno	9–13	-0.02	30%	2 Dec →
mirage	10–13	0.05	16%	2 Dec →
train	11–13	-0.04	14%	2 Dec →
dust2	6–13	0.00	13%	1 Dec →
nuke	11–3	0.06	5%	1 Dec →
nuke	13–5	0.10	20%	1 Dec →
ancient	11–13	-0.05	10%	30 Nov →
ancient	5–13	0.01	11%	30 Nov →
mirage	7–13	-0.05	12%	30 Nov →
ancient	10–13	-0.02	10%	26 Nov →
mirage	3–13	-0.12	16%	25 Nov →
ancient	10–13	-0.04	20%	25 Nov →
nuke	7–13	-0.03	20%	25 Nov →
train	13–2	-0.03	11%	25 Nov →
nuke	13–8	0.04	21%	24 Nov →
mirage	13–8	-0.05	14%	24 Nov →
mirage	9–13	0.05	21%	22 Nov →
train	13–11	0.04	21%	20 Nov →