.koziol — CS2 Stats

76561198278366136[U:1:318100408]

713Tracked matches46%Win rate2020Tracked since

2,319Hours in CS14Hrs last 2 wks

CSDB Rating7.4 StrongEntry Fragger

Premier CS Rating21,727Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)

CSDB Leaderboard#9164 of 29680 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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	Pink band median	Red band median	vs Red band
Headshot rate	44.2%	47.2%	49.9%	5.7% short
Shot accuracy	11.3%	12.7%	13.4%	2.1% short
Kill/death ratio	1.19	1.09	1.12	above
Match win rate	44.9%	46.6%	48.4%	3.6% short

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

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

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Performance scores

Aim93

Positioning71

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateLLWWLWLLWT

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.3

Aggression10.0

Utility5.4

Positioning7.1

Opening Duels6.3

Clutch2.8

Sharp aimer

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 s1mple 93% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.3

Positioning7.1

Utility5.4

Mechanics8.0

Opening Duels6.3

Win Impact3.8

Composite 7.4/10 (Strong), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time546ms−43ms

first ⅓ avg 589ms → last ⅓ avg 546ms

Headshot accuracy27.7%+4.7%

first ⅓ avg 23.0% → last ⅓ avg 27.7%

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

0.32Best rating — mirage 13–0

13–0Biggest win — mirage

4Longest win streak

L2Current streak

9–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 67% over 12anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	9–16	36%	0.03
inferno	D	21	7–14	33%	0.03
nuke	B	15	7–8	47%	0.05
cache	B	13	7–6	54%	0.07
dust2	S	12	8–4	67%	0.05
overpass	B	6	3–3	50%	0.03
anubis	D	5	1–4	20%	-0.00
ancient	—	3	0–3	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,026Lifetime kills

1.19K/D · Top 50% of Pink band

3,245Matches

44.9%Match win rate

44.2%Headshot %

11.3%Shot accuracy

8,693MVPs

1,260Hours (in match)

2,716Bombs planted

828Bombs defused

Most-used weapons

AK-4721,369

AWP11,822

M4A4 / M4A1-S10,452

Desert Eagle3,947

P2000 / USP-S3,906

Glock-182,683

MAC-101,584

MP91,510

P2501,349

Tec-91,233

Lifetime map wins

6,696inferno

2,482nuke

2,084dust2

1,367train

612vertigo

467cbble

128lake

76safehouse

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

Faceit stats

Combat

557Matches

54%Win rate

1.25Avg K/D

91.6ADR

41%Headshot %

Clutches & streaks

34%1v1 clutch win

26%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	57	58%	1.23	18.1
Inferno	46	63%	1.37	18.4
Anubis	35	43%	1.37	18.1
Dust2	25	60%	1.13	15.7
Nuke	23	52%	1.47	20.1
Ancient	23	57%	1.10	16.1
Train	6	50%	1.44	21.8
Cache	6	83%	1.72	22.7

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.

29.3%Headshot accuracy

36.8%Accuracy (enemy spotted)

40.8%Spray accuracy

86.2%Counter-strafing

7.7°Preaim

550msReaction time

51.4%T opening success

58.7%CT opening success

0.58Enemies flashed / flash

5.3%Flash assists

6.31HE damage / grenade

9.19Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–16	-0.04	34%	27 Aug →
nuke	9–13	0.05	46%	27 Aug →
mirage	13–11	0.04	32%	24 Aug →
dust2	13–4	0.01	22%	24 Aug →
nuke	2–13	-0.04	11%	22 Aug →
mirage	13–2	0.07	29%	22 Aug →
nuke	11–13	0.01	30%	19 Aug →
inferno	8–13	0.06	36%	18 Aug →
mirage	13–9	-0.01	40%	18 Aug →
cache	15–15	0.11	26%	17 Aug →
dust2	2–13	-0.06	17%	17 Aug →
dust2	13–11	0.03	40%	13 Aug →
mirage	13–5	0.02	37%	13 Aug →
cache	11–13	0.07	13%	11 Aug →
mirage	5–13	-0.06	24%	11 Aug →
cache	13–10	0.08	32%	6 Aug →
cache	13–5	0.10	52%	6 Aug →
inferno	15–15	0.07	39%	5 Aug →
mirage	8–13	0.09	21%	5 Aug →
anubis	6–13	-0.04	19%	4 Aug →
inferno	9–13	0.02	24%	4 Aug →
nuke	13–11	-0.01	37%	4 Aug →
mirage	10–13	0.03	25%	1 Aug →
cache	13–9	0.08	33%	23 Jul →
inferno	13–4	0.05	21%	23 Jul →
nuke	7–13	0.02	30%	22 Jul →
mirage	9–13	0.00	20%	21 Jul →
anubis	6–13	-0.02	22%	21 Jul →
mirage	13–8	-0.04	30%	21 Jul →
inferno	13–10	0.09	21%	21 Jul →
cache	13–9	0.17	19%	21 Jul →
dust2	8–13	0.08	15%	20 Jul →
inferno	16–12	0.07	16%	20 Jul →
cache	1–13	-0.05	10%	20 Jul →
cache	5–13	0.02	45%	17 Jul →
nuke	2–13	-0.03	23%	15 Jul →
dust2	13–8	0.15	41%	14 Jul →
nuke	13–2	0.21	21%	13 Jul →
mirage	5–13	0.01	41%	13 Jul →
inferno	10–13	0.06	24%	12 Jul →
cache	16–12	0.13	21%	12 Jul →
cache	15–15	0.02	10%	12 Jul →
mirage	10–13	-0.02	15%	11 Jul →
cache	8–13	0.05	15%	11 Jul →
nuke	8–2	0.13	31%	11 Jul →
cache	13–10	0.07	9%	10 Jul →
anubis	13–11	0.03	14%	10 Jul →
dust2	13–6	0.02	19%	9 Jul →
ancient	10–13	0.01	15%	9 Jul →
inferno	7–13	0.08	21%	2 Jul →
inferno	13–9	0.07	19%	2 Jul →
mirage	13–7	-0.02	28%	25 Jun →
mirage	4–13	-0.03	35%	24 Jun →
overpass	13–16	0.03	14%	23 Jun →
mirage	9–13	0.03	21%	22 Jun →
dust2	5–13	0.04	25%	22 Jun →
overpass	10–13	0.03	18%	21 Jun →
inferno	6–13	-0.04	17%	20 Jun →
anubis	8–13	-0.00	11%	18 Jun →
nuke	13–10	0.11	26%	16 Jun →
inferno	10–13	0.06	24%	16 Jun →
mirage	3–13	0.02	27%	16 Jun →
nuke	13–6	0.11	13%	11 Jun →
mirage	13–5	0.03	33%	9 Jun →
mirage	7–13	0.05	21%	8 Jun →
nuke	4–13	0.06	23%	8 Jun →
mirage	10–13	0.09	15%	8 Jun →
inferno	16–14	0.04	12%	8 Jun →
mirage	11–13	-0.04	15%	8 Jun →
dust2	13–10	0.11	27%	4 Jun →
inferno	9–13	0.07	34%	2 Jun →
inferno	11–13	0.01	12%	1 Jun →
nuke	13–11	0.05	13%	1 Jun →
mirage	10–13	-0.02	16%	25 May →
dust2	8–13	-0.04	13%	21 May →
inferno	10–13	-0.02	13%	19 May →
inferno	8–13	0.02	27%	19 May →
ancient	3–13	0.04	11%	18 May →
mirage	7–13	0.07	18%	18 May →
inferno	3–13	-0.04	18%	18 May →
overpass	13–6	0.05	27%	16 May →
nuke	1–13	-0.01	17%	16 May →
dust2	13–11	0.12	34%	14 May →
inferno	11–13	-0.02	18%	3 May →
cache	13–2	0.10	24%	3 May →
overpass	16–14	-0.00	24%	27 Apr →
inferno	13–3	0.01	28%	27 Apr →
overpass	13–11	0.05	11%	25 Apr →
ancient	6–13	-0.08	17%	25 Apr →
dust2	13–7	0.06	22%	19 Apr →
mirage	1–13	-0.08	8%	19 Apr →
inferno	13–4	0.01	31%	5 Apr →
dust2	13–8	0.03	38%	30 Mar →
mirage	13–7	0.15	40%	18 Mar →
anubis	5–13	0.02	43%	15 Feb →
overpass	8–13	0.05	19%	11 Feb →
nuke	13–6	0.07	39%	11 Feb →
mirage	13–0	0.32	54%	10 Feb →
mirage	8–13	-0.02	12%	8 Dec →
inferno	8–13	0.00	22%	2 Dec →