sKooooB — CS2 Stats

76561197992504259[U:1:32238531]✓ No bans

1,213Tracked matches47%Win rate2020Tracked since

3,933Hours in CS8Hrs last 2 wks

CSDB Rating5.9 SolidAggressive Rifler

Premier CS Rating24,525Top 50% of 819 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)

CSDB Leaderboard#3561 of 20356 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median
Headshot rate	40.5%	48.1%
Shot accuracy	18.6%	12.9%
Kill/death ratio	0.95	1.08
Match win rate	46.4%	46.5%

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Performance scores

Aim72

Positioning53

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLLWWLLLLWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.2

Aggression7.3

Utility5.6

Positioning5.3

Opening Duels3.4

Clutch4.8

Strong CT-side openerLimited utility dependence

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 b1t 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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 58% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim7.2

Positioning5.3

Utility5.6

Mechanics6.4

Opening Duels3.5

Win Impact3.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time562ms−37ms

first ⅓ avg 599ms → last ⅓ avg 562ms

Headshot accuracy19.4%+1.6%

first ⅓ avg 17.7% → last ⅓ avg 19.4%

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

0.09Best rating — inferno 13–1

13–1Biggest win — inferno

7Longest win streak

L2Current streak

5–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 71% over 34cacheWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	34	24–10	71%	-0.01
ancient	B	24	13–11	54%	-0.01
nuke	A	22	12–10	55%	-0.03
cache	D	11	3–8	27%	-0.00
anubis	—	4	1–3	25%	-0.06
overpass	—	4	2–2	50%	-0.02
dust2	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Lifetime stats

104,314Lifetime kills

0.95K/D

4,482Matches

46.4%Match win rate

40.5%Headshot %

18.6%Shot accuracy · Top 25% of Pink band

10,804MVPs

2,212Hours (in match)

4,149Bombs planted

1,035Bombs defused

Most-used weapons

AK-4736,880

M4A4 / M4A1-S18,787

AWP13,663

Desert Eagle6,832

P2000 / USP-S6,479

Glock-183,852

FAMAS1,980

Knife1,834

Galil AR1,756

P2501,504

Lifetime map wins

14,823inferno

7,002nuke

4,127dust2

1,003vertigo

881train

306cbble

109office

45dust

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

Faceit stats

Combat

177Matches

54%Win rate

0.95Avg K/D

72.7ADR

45%Headshot %

Clutches & streaks

44%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	43	60%	0.90	13.2
Ancient	32	50%	0.87	14.1
Nuke	30	60%	0.97	16.3
Anubis	18	28%	0.84	15.3
Overpass	8	50%	0.96	15.9
Cache	5	0%	0.76	12.6
Train	3	100%	0.90	10.7
Mirage	2	100%	1.82	17.5

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.

18.8%Headshot accuracy

32.5%Accuracy (enemy spotted)

35.7%Spray accuracy

78.7%Counter-strafing

8.7°Preaim

561msReaction time

29.0%T opening success

58.2%CT opening success

0.61Enemies flashed / flash

8.7%Flash assists

13.22HE damage / grenade

3.13Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1344 — below the 4 mark we flag
Grenade Lineups →
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 29.0154% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.08	21%	28 Aug →
nuke	16–19	-0.07	19%	28 Aug →
ancient	19–15	0.02	15%	23 Aug →
nuke	16–12	0.01	19%	23 Aug →
ancient	8–13	0.07	12%	23 Aug →
inferno	3–13	-0.07	37%	15 Aug →
nuke	11–13	-0.06	18%	15 Aug →
ancient	5–13	-0.05	18%	15 Aug →
inferno	13–10	0.00	22%	2 Aug →
ancient	13–3	0.02	20%	2 Aug →
ancient	14–16	-0.03	14%	2 Aug →
inferno	8–13	0.04	25%	2 Aug →
nuke	6–13	-0.06	10%	2 Aug →
inferno	13–10	-0.03	18%	31 Jul →
nuke	13–8	-0.04	8%	31 Jul →
ancient	13–7	0.03	17%	31 Jul →
cache	9–13	-0.06	5%	31 Jul →
inferno	11–13	-0.04	13%	18 Jul →
nuke	13–10	-0.01	12%	18 Jul →
inferno	13–10	0.02	19%	18 Jul →
inferno	6–13	-0.05	29%	18 Jul →
nuke	13–10	-0.01	23%	18 Jul →
cache	8–13	0.06	24%	18 Jul →
nuke	13–4	0.03	24%	18 Jul →
ancient	7–13	-0.09	24%	18 Jul →
inferno	7–13	-0.04	23%	18 Jul →
ancient	13–8	-0.03	26%	17 Jul →
inferno	13–5	0.03	19%	17 Jul →
cache	13–10	-0.01	22%	17 Jul →
cache	9–13	0.01	18%	17 Jul →
nuke	7–13	-0.07	16%	17 Jul →
ancient	14–16	-0.04	23%	17 Jul →
ancient	13–11	0.01	25%	17 Jul →
cache	15–15	-0.02	17%	17 Jul →
inferno	13–10	-0.02	16%	16 Jul →
inferno	13–7	-0.02	12%	16 Jul →
nuke	9–13	-0.05	11%	16 Jul →
nuke	13–4	0.02	17%	15 Jul →
cache	3–13	0.05	16%	14 Jul →
cache	8–6	0.05	16%	14 Jul →
inferno	13–3	0.01	18%	14 Jul →
inferno	7–13	-0.03	15%	13 Jul →
ancient	13–6	0.06	19%	13 Jul →
anubis	6–13	-0.09	6%	13 Jul →
inferno	13–4	-0.02	19%	13 Jul →
cache	9–13	-0.06	18%	13 Jul →
ancient	16–12	-0.01	9%	13 Jul →
ancient	13–2	-0.03	18%	10 Jul →
cache	12–2	-0.05	19%	10 Jul →
anubis	8–13	-0.06	23%	10 Jul →
inferno	13–6	-0.01	19%	10 Jul →
nuke	3–13	-0.10	6%	10 Jul →
nuke	16–14	0.04	11%	8 Jul →
inferno	13–7	0.02	23%	13 Jun →
inferno	13–9	-0.07	15%	13 Jun →
ancient	13–10	-0.02	16%	12 Jun →
inferno	13–2	0.03	0%	12 Jun →
ancient	16–14	0.01	19%	12 Jun →
anubis	16–13	-0.04	13%	12 Jun →
ancient	13–16	-0.06	16%	12 Jun →
overpass	13–16	0.03	13%	6 Jun →
inferno	13–3	-0.03	15%	6 Jun →
inferno	13–10	-0.04	4%	6 Jun →
ancient	13–10	0.00	15%	6 Jun →
inferno	13–10	0.04	22%	31 May →
nuke	13–3	-0.04	10%	31 May →
nuke	8–13	-0.06	26%	14 May →
cache	7–13	-0.02	15%	14 May →
cache	5–13	0.00	25%	14 May →
inferno	13–7	-0.04	15%	10 May →
inferno	13–10	-0.03	12%	10 May →
nuke	13–11	-0.04	11%	10 May →
ancient	11–13	-0.07	5%	10 May →
nuke	8–13	-0.09	12%	26 Apr →
overpass	13–9	-0.03	17%	26 Apr →
dust2	13–6	0.03	17%	25 Apr →
inferno	7–13	-0.04	18%	25 Apr →
inferno	13–8	0.08	17%	25 Apr →
nuke	6–13	-0.02	26%	29 Mar →
inferno	13–8	-0.02	13%	29 Mar →
inferno	13–5	-0.02	31%	28 Mar →
ancient	6–13	-0.03	15%	28 Mar →
overpass	13–9	-0.04	8%	22 Mar →
nuke	13–7	0.02	25%	22 Mar →
ancient	8–13	-0.04	15%	22 Mar →
inferno	10–13	-0.01	12%	22 Mar →
inferno	10–13	-0.07	20%	15 Mar →
inferno	13–1	0.09	14%	15 Mar →
ancient	13–10	0.04	25%	15 Mar →
inferno	13–2	0.06	25%	15 Mar →
nuke	10–13	-0.05	10%	15 Mar →
inferno	13–5	0.06	43%	15 Feb →
overpass	6–13	-0.04	28%	15 Feb →
anubis	14–16	-0.04	6%	31 Jan →
ancient	13–7	0.04	31%	31 Jan →
inferno	12–1	-0.03	6%	31 Jan →
nuke	13–8	0.03	14%	31 Jan →
ancient	11–13	-0.03	12%	31 Jan →
nuke	16–13	-0.02	22%	24 Jan →
ancient	8–13	-0.01	21%	24 Jan →