Dirty158 — CS2 Stats

76561198385426045[U:1:425160317]✓ No bans

696Tracked matches37%Win rate2024Tracked since

692Hours in CS1Hrs last 2 wks

CSDB Rating2.5 Learning

Premier CS Rating5,398Light Blue band · top ~76.9% of ranked players (population est.)

CSDB Leaderboard#41883 of 54892 tracked

WingmanSilver Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), 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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	36.4%	39.7%	41.4%	5.0% short
Shot accuracy	0.0%	6.7%	9.0%	9.0% short
Kill/death ratio	0.73	0.91	0.97	0.24 short
Match win rate	43.9%	42.1%	43.7%	meets

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

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim26

Positioning37

Utility41

0–100 skill scores via Leetify.

Recent form

COLD32–58–10Last 10032%Win rateWLLLLWLLTL

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

Player DNA

Aim2.6

Aggression2.3

Utility4.1

Positioning3.7

Opening Duels0.0

Clutch2.2

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, positioning profile.

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

T-side openings. Opening success drops from 37% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 702ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.6

Positioning3.7

Utility4.1

Mechanics3.4

Opening Duels0.9

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-0.05−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.05

Reaction time675ms−2ms

first ⅓ avg 677ms → last ⅓ avg 675ms

Headshot accuracy13.9%−1.0%

first ⅓ avg 14.9% → last ⅓ avg 13.9%

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

0.06Best rating — office 2–13

13–1Biggest win — nuke

3Longest win streak

3–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 43% over 35infernoWeakest map · 8% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	35	15–20	43%	-0.04
office	D	15	4–11	27%	-0.01
inferno	D	13	1–12	8%	-0.05
ancient	C	11	4–7	36%	-0.03
overpass	D	9	3–6	33%	-0.03
nuke	C	7	3–4	43%	-0.04
cache	C	5	2–3	40%	-0.05
mirage	—	3	0–3	0%	-0.04
train	—	2	0–2	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (8% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,930Lifetime kills

0.73K/D

1,001Matches

43.9%Match win rate · Top 50% of Light Blue band

36.4%Headshot %

0.0%Shot accuracy

1,424MVPs

410Hours (in match)

1,105Bombs planted

143Bombs defused

Most-used weapons

M4A4 / M4A1-S2,886

AK-472,845

AWP942

P2000 / USP-S760

MP9625

Galil AR571

Glock-18486

MAC-10376

XM1014351

FAMAS344

Lifetime map wins

3,992dust2

1,376inferno

935office

430nuke

115train

46italy

44vertigo

7ar_shoots

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

Faceit stats

Combat

32Matches

53%Win rate

0.63Avg K/D

55.2ADR

39%Headshot %

Clutches & streaks

31%1v1 clutch win

8%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	16	50%	0.64	9.3
Inferno	6	67%	0.61	9.3
Ancient	5	40%	0.89	12.0
Mirage	2	50%	0.29	7.0
Overpass	2	50%	0.44	8.0
Train	1	100%	0.43	6.0

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.

14.2%Headshot accuracy

29.3%Accuracy (enemy spotted)

29.8%Spray accuracy

65.5%Counter-strafing

10.9°Preaim

702msReaction time

12.9%T opening success

36.9%CT opening success

0.52Enemies flashed / flash

2.7%Flash assists

9.06HE damage / grenade

5.70Flashes / 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.

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 14.176% — 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 701.9402ms — above the 700ms mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 12.9241% — below the 40% mark we flag

Spend your practice time on Inferno

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 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–10	-0.09	0%	30 Jun →
dust2	6–13	-0.08	17%	30 Jun →
inferno	4–13	-0.11	0%	18 Jun →
dust2	7–13	-0.09	20%	17 Jun →
overpass	6–13	-0.01	16%	16 Jun →
dust2	13–10	0.01	28%	16 Jun →
inferno	0–4	-0.07	0%	16 Jun →
train	5–13	-0.04	23%	15 Jun →
nuke	12–12	-0.03	12%	15 Jun →
ancient	4–13	-0.04	14%	15 Jun →
mirage	15–15	-0.05	22%	10 Jun →
dust2	13–6	-0.03	10%	10 Jun →
ancient	11–13	-0.00	13%	10 Jun →
office	7–13	-0.08	18%	9 Jun →
cache	12–12	0.01	16%	9 Jun →
dust2	2–13	-0.12	23%	7 Jun →
dust2	13–11	-0.00	9%	7 Jun →
nuke	8–13	-0.07	27%	4 Jun →
dust2	13–16	-0.06	12%	4 Jun →
ancient	13–11	-0.02	14%	4 Jun →
inferno	14–16	-0.03	9%	3 Jun →
dust2	13–10	-0.04	12%	3 Jun →
dust2	5–13	-0.07	18%	1 Jun →
dust2	0–6	0.05	31%	1 Jun →
inferno	11–13	-0.07	11%	1 Jun →
dust2	13–10	-0.06	12%	1 Jun →
dust2	13–7	-0.02	10%	1 Jun →
cache	13–7	-0.07	11%	20 May →
cache	9–13	-0.04	9%	7 May →
cache	13–6	-0.03	11%	7 May →
dust2	9–13	-0.07	16%	30 Apr →
cache	4–13	-0.11	7%	30 Apr →
ancient	15–15	-0.06	6%	24 Apr →
dust2	13–11	-0.08	17%	24 Apr →
office	12–12	0.03	9%	13 Apr →
ancient	7–13	-0.06	18%	13 Apr →
dust2	10–13	-0.08	5%	13 Apr →
dust2	10–13	-0.06	16%	31 Mar →
overpass	6–13	0.01	12%	31 Mar →
overpass	10–13	-0.08	21%	26 Mar →
mirage	9–13	-0.03	13%	25 Mar →
inferno	1–13	-0.08	5%	23 Mar →
dust2	15–15	-0.06	15%	20 Mar →
mirage	2–13	-0.05	16%	20 Mar →
dust2	13–8	-0.02	5%	19 Mar →
nuke	16–13	-0.03	8%	12 Mar →
nuke	11–13	-0.06	18%	12 Mar →
ancient	3–13	-0.03	19%	11 Mar →
inferno	5–13	-0.07	13%	11 Mar →
overpass	13–7	0.01	12%	11 Mar →
overpass	13–9	-0.04	13%	6 Mar →
ancient	11–13	-0.03	16%	6 Mar →
dust2	13–8	-0.06	19%	26 Feb →
nuke	13–1	0.05	10%	26 Feb →
overpass	7–13	-0.04	8%	24 Feb →
inferno	10–13	-0.04	13%	24 Feb →
dust2	13–16	-0.04	13%	23 Feb →
nuke	4–13	-0.06	19%	23 Feb →
ancient	13–8	-0.02	21%	23 Feb →
overpass	4–13	-0.10	11%	20 Feb →
inferno	8–13	-0.05	8%	16 Feb →
overpass	13–9	0.02	13%	22 Jan →
dust2	11–13	-0.02	13%	7 Jan →
dust2	13–9	0.00	11%	1 Jan →
train	7–13	-0.06	11%	1 Jan →
inferno	13–10	0.01	15%	1 Jan →
dust2	13–7	0.05	20%	1 Jan →
dust2	7–13	-0.05	5%	30 Dec →
ancient	13–10	-0.02	12%	30 Dec →
ancient	13–6	-0.01	16%	29 Dec →
inferno	9–13	-0.04	22%	29 Dec →
dust2	13–6	-0.05	8%	25 Dec →
dust2	9–13	-0.00	5%	25 Dec →
dust2	13–7	-0.03	10%	21 Dec →
dust2	13–3	0.00	13%	21 Dec →
office	2–13	0.06	18%	13 Dec →
inferno	12–16	-0.08	8%	15 Nov →
office	13–8	0.05	27%	15 Nov →
office	12–12	-0.04	8%	7 Nov →
dust2	9–13	-0.02	24%	7 Nov →
dust2	8–13	0.02	28%	29 Oct →
office	12–12	-0.01	27%	29 Oct →
dust2	15–15	-0.05	7%	28 Oct →
office	2–13	-0.07	5%	28 Oct →
office	13–7	0.02	6%	27 Oct →
dust2	9–13	-0.04	16%	21 Oct →
office	4–13	-0.02	15%	19 Oct →
overpass	7–13	-0.08	11%	19 Oct →
inferno	2–13	-0.04	17%	19 Oct →
office	12–12	0.01	0%	17 Oct →
inferno	4–13	-0.05	21%	15 Oct →
dust2	4–13	-0.12	8%	15 Oct →
office	13–9	-0.12	33%	14 Oct →
dust2	9–13	-0.03	18%	14 Oct →
ancient	14–16	-0.04	5%	14 Oct →
office	7–13	-0.06	6%	11 Oct →
dust2	13–8	0.04	24%	10 Oct →
office	13–5	0.01	25%	10 Oct →
office	9–13	-0.03	18%	10 Oct →
office	5–13	0.05	29%	8 Oct →