Fedora — CS2 Stats

ES76561199035522781[U:1:1075257053]Steam profile ↗✓ No bans

68Tracked matches41%Win rate2024Tracked since

115Hours in CS

CSDB Rating1.7 Learning

Premier CS Rating2,874Grey band · top ~87.8% of ranked players (population est.)

CSDB Leaderboard#39301 of 50401 tracked

WingmanSilver III

Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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	Grey band median	Light Blue band median	vs Light Blue band
Headshot rate	42.0%	37.5%	39.7%	above
Shot accuracy	0.6%	4.5%	6.7%	6.1% short
Kill/death ratio	1.11	0.82	0.91	above
Match win rate	35.9%	39.1%	42.1%	6.2% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue 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

Aim15

Positioning44

Utility14

0–100 skill scores via Leetify.

Recent form

COLD29–34–5Last 6843%Win rateLLLWLLLLLW

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Aim1.5

Aggression2.9

Utility1.4

Positioning4.4

Opening Duels0.0

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 60% playstyle similarity

Most alike: positioning profile, 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. 826ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.5

Positioning4.4

Utility1.4

Mechanics1.2

Opening Duels0.1

Win Impact2.1

Composite 1.7/10 (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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time820ms−19ms

first ⅓ avg 840ms → last ⅓ avg 820ms

Headshot accuracy12.4%−0.6%

first ⅓ avg 13.0% → last ⅓ avg 12.4%

Rolling 5-match average across the last 68 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.22Best rating — inferno 9–3

13–2Biggest win — nuke

5Longest win streak

L3Current streak

4–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 64% over 11dust2Weakest map · 32% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	12–10	55%	0.02
dust2	D	19	6–13	32%	0.03
nuke	A	11	7–4	64%	0.05
inferno	D	9	3–6	33%	0.02
ancient	—	2	0–2	0%	0.02
anubis	—	2	1–1	50%	0.08
vertigo	—	2	0–2	0%	0.00
cache	—	1	0–1	0%	0.06

Across the last 68 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,464Lifetime kills

1.11K/D · Top 10% of Grey band

498Matches

35.9%Match win rate

42.0%Headshot % · Top 50% of Grey band

0.6%Shot accuracy

1,469MVPs

115Hours (in match)

446Bombs planted

106Bombs defused

Most-used weapons

M4A4 / M4A1-S1,753

AK-471,488

AWP1,040

P2000 / USP-S841

Glock-18639

Galil AR328

AUG208

MP7157

Desert Eagle143

SSG 08142

Lifetime map wins

876nuke

823dust2

239inferno

81vertigo

21train

8italy

1cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.7%Headshot accuracy

37.3%Accuracy (enemy spotted)

38.0%Spray accuracy

55.5%Counter-strafing

14.2°Preaim

826msReaction time

28.8%T opening success

30.5%CT opening success

0.23Enemies flashed / flash

4.4%Flash assists

5.68HE damage / grenade

1.55Flashes / 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 14.1909° — 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 11.6972% — 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 826.1265ms — above the 700ms mark we flag
Aim Training →

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.

32% win rate across 19 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	8–13	0.03	11%	17 Jul →
ancient	11–13	-0.01	6%	17 Jul →
anubis	9–13	0.10	12%	17 Jul →
nuke	12–3	0.08	12%	17 Jul →
nuke	8–13	-0.06	4%	17 Jul →
inferno	3–13	-0.04	4%	16 Jul →
dust2	11–13	0.03	14%	16 Jul →
mirage	2–13	-0.07	9%	16 Jul →
inferno	4–13	-0.03	15%	16 Jul →
dust2	13–10	0.05	8%	16 Jul →
inferno	13–6	0.08	17%	16 Jul →
dust2	10–13	0.04	10%	16 Jul →
mirage	12–12	0.09	9%	16 Jul →
inferno	9–3	0.22	19%	16 Jul →
anubis	13–9	0.06	11%	16 Jul →
dust2	8–13	0.07	19%	15 Jul →
mirage	13–4	0.03	19%	15 Jul →
dust2	13–7	0.06	13%	15 Jul →
dust2	2–13	-0.03	10%	15 Jul →
dust2	8–13	-0.01	13%	15 Jul →
dust2	8–13	0.06	24%	15 Jul →
mirage	9–13	0.11	14%	14 Jul →
dust2	13–4	0.04	9%	14 Jul →
nuke	0–8	-0.10	22%	13 Jul →
mirage	13–10	-0.00	3%	13 Jul →
dust2	13–11	0.03	15%	13 Jul →
cache	4–13	0.06	11%	13 Jul →
nuke	13–2	0.01	13%	13 Jul →
nuke	13–7	0.10	8%	13 Jul →
dust2	11–13	-0.00	8%	13 Jul →
mirage	13–8	-0.01	14%	12 Jul →
mirage	15–15	0.05	16%	12 Jul →
mirage	13–4	0.07	16%	12 Jul →
mirage	13–4	-0.01	23%	12 Jul →
inferno	13–4	0.09	17%	12 Jul →
nuke	13–11	0.09	11%	12 Jul →
dust2	9–13	0.03	19%	11 Jul →
mirage	13–7	0.06	18%	9 Jul →
dust2	2–13	-0.04	20%	9 Jul →
inferno	5–13	-0.03	17%	7 Jul →
dust2	4–13	-0.01	20%	7 Jul →
mirage	11–13	0.02	22%	6 Jul →
dust2	9–13	0.08	12%	4 Jul →
mirage	13–7	-0.01	10%	4 Jul →
mirage	12–12	0.01	9%	4 Jul →
dust2	13–6	0.08	15%	3 Jul →
mirage	13–10	0.04	17%	3 Jul →
dust2	13–8	0.13	11%	3 Jul →
mirage	13–11	0.00	11%	2 Jul →
mirage	13–5	0.20	20%	2 Jul →
inferno	2–13	-0.08	9%	2 Jul →
mirage	12–12	-0.07	17%	2 Jul →
nuke	6–9	0.06	15%	1 Jul →
nuke	9–7	0.13	10%	1 Jul →
ancient	0–13	0.05	15%	1 Jul →
inferno	6–13	0.01	15%	28 Jun →
mirage	9–13	0.06	14%	21 Jun →
mirage	13–2	0.10	18%	18 Jun →
inferno	0–13	-0.07	22%	15 Aug →
dust2	6–13	-0.02	14%	18 Jul →
dust2	0–13	-0.06	12%	5 Jul →
vertigo	1–12	-0.04	0%	6 Dec →
vertigo	4–13	0.05	14%	9 Nov →
mirage	12–12	-0.10	16%	18 Oct →
nuke	9–2	0.09	12%	7 Feb →
mirage	2–13	-0.07	3%	3 Feb →
mirage	13–2	-0.10	5%	28 Jan →
nuke	9–2	0.10	17%	28 Jan →