Ep$i — CS2 Stats

76561198095026160[U:1:134760432]Steam profile ↗✓ No bans

1,494Tracked matches40%Win rate2020Tracked since

1,539Hours in CS

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating22,059Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

CSDB Leaderboard#7120 of 23264 tracked

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	44.6%	47.2%	49.9%	5.3% short
Shot accuracy	11.7%	12.7%	13.4%	1.7% short
Kill/death ratio	1.37	1.09	1.12	above
Match win rate	47.6%	46.6%	48.4%	meets

This profile matches the typical Red band player on 2 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

Aim61

Positioning65

Utility46

0–100 skill scores via Leetify.

Recent form

COLD43–51–6Last 10043%Win rateLWWLLLLLWL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression7.9

Utility4.6

Positioning6.5

Opening Duels3.5

Clutch5.0

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 b1t 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 640ms 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

Aim6.1

Positioning6.5

Utility4.6

Mechanics7.9

Opening Duels3.5

Win Impact1.7

Composite 5.6/10 (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-0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time644ms+10ms

first ⅓ avg 634ms → last ⅓ avg 644ms

Headshot accuracy16.1%+1.5%

first ⅓ avg 14.6% → last ⅓ avg 16.1%

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

0.15Best rating — train 13–4

13–3Biggest win — dust2

6Longest win streak

9–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 83% over 6infernoWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	41	17–24	41%	-0.00
dust2	C	15	6–9	40%	-0.01
mirage	S	9	6–3	67%	-0.01
inferno	D	7	0–7	0%	-0.04
ancient	A	7	4–3	57%	-0.00
anubis	S	6	5–1	83%	0.01
nuke	D	6	2–4	33%	-0.02
vertigo	—	4	1–3	25%	0.03
overpass	—	3	1–2	33%	-0.00
warden	—	1	0–1	0%	-0.02
train	—	1	1–0	100%	0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,489Lifetime kills

1.37K/D · Top 25% of Pink band

3,718Matches

47.6%Match win rate · Top 50% of Pink band

44.6%Headshot %

11.7%Shot accuracy

10,370MVPs

1,539Hours (in match)

3,626Bombs planted

953Bombs defused

Most-used weapons

AK-4742,935

M4A4 / M4A1-S13,540

AWP6,941

Desert Eagle4,647

P2000 / USP-S4,362

Glock-183,021

Five-SeveN1,809

P2501,680

Tec-91,148

MAC-101,145

Lifetime map wins

13,881dust2

2,616inferno

1,729nuke

1,547train

701vertigo

362cbble

115office

86italy

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

Faceit stats

Combat

187Matches

51%Win rate

1.16Avg K/D

89.8ADR

46%Headshot %

Clutches & streaks

45%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	49%	1.14	17.1
Ancient	35	63%	1.25	17.5
Inferno	29	38%	1.02	15.3
Dust2	28	43%	1.08	18.2
Anubis	28	46%	1.06	17.0
Nuke	14	64%	1.12	17.3
Train	9	67%	1.57	21.8
Vertigo	1	100%	1.50	21.0

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.

15.5%Headshot accuracy

32.8%Accuracy (enemy spotted)

36.2%Spray accuracy

85.5%Counter-strafing

10.3°Preaim

640msReaction time

38.5%T opening success

49.8%CT opening success

0.65Enemies flashed / flash

1.7%Flash assists

7.65HE damage / grenade

8.74Flashes / 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
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 38.4551% — 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.

0% win rate across 7 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
mirage	5–13	-0.04	8%	15 Aug →
mirage	16–14	-0.04	17%	11 Aug →
anubis	16–14	-0.01	7%	2 Aug →
cache	6–13	0.01	20%	2 Aug →
vertigo	11–13	0.09	11%	2 Aug →
inferno	5–13	0.02	39%	2 Aug →
inferno	6–13	-0.05	11%	2 Aug →
mirage	11–13	-0.06	11%	2 Aug →
dust2	13–10	0.01	7%	2 Aug →
nuke	7–13	-0.01	9%	2 Aug →
cache	7–13	-0.06	20%	1 Aug →
dust2	7–13	-0.01	23%	30 Jul →
ancient	13–10	0.01	14%	29 Jul →
cache	3–13	-0.07	9%	29 Jul →
ancient	4–13	-0.06	18%	29 Jul →
dust2	19–22	0.01	12%	27 Jul →
anubis	13–9	0.02	13%	22 Jul →
nuke	6–13	-0.05	8%	22 Jul →
mirage	13–4	0.05	15%	22 Jul →
ancient	8–13	-0.01	16%	21 Jul →
inferno	4–13	-0.09	9%	21 Jul →
mirage	11–13	0.02	19%	21 Jul →
dust2	13–9	0.07	29%	19 Jul →
ancient	13–9	0.01	13%	19 Jul →
dust2	9–13	0.02	19%	19 Jul →
mirage	16–13	-0.01	15%	19 Jul →
dust2	7–13	-0.07	21%	19 Jul →
cache	13–9	0.07	23%	18 Jul →
mirage	13–4	0.01	22%	18 Jul →
cache	13–7	0.06	13%	18 Jul →
nuke	16–13	-0.02	14%	18 Jul →
dust2	13–11	-0.01	22%	18 Jul →
dust2	13–11	-0.01	22%	17 Jul →
inferno	11–13	-0.06	16%	5 Jul →
vertigo	7–13	0.00	17%	9 Jun →
vertigo	13–7	0.10	15%	9 Jun →
warden	12–12	-0.02	13%	31 May →
dust2	13–6	0.13	23%	31 May →
anubis	13–5	0.03	11%	30 May →
mirage	13–10	-0.03	17%	30 May →
overpass	13–6	0.08	21%	30 May →
cache	7–13	0.04	18%	28 May →
overpass	12–12	-0.03	30%	28 May →
train	13–4	0.15	21%	27 May →
dust2	1–13	-0.12	0%	24 May →
overpass	7–13	-0.06	21%	24 May →
nuke	9–13	-0.06	16%	22 May →
cache	3–13	-0.08	20%	21 May →
nuke	8–13	-0.02	14%	20 May →
cache	3–13	-0.01	28%	20 May →
nuke	13–11	0.02	21%	20 May →
dust2	6–13	-0.03	21%	20 May →
cache	10–13	-0.04	15%	20 May →
anubis	14–16	0.04	23%	15 May →
cache	13–8	0.04	22%	14 May →
cache	10–13	0.01	25%	14 May →
cache	13–11	0.01	27%	13 May →
inferno	11–13	-0.07	19%	13 May →
dust2	13–3	-0.03	11%	12 May →
cache	13–9	0.02	17%	7 May →
cache	13–8	0.01	15%	7 May →
cache	12–12	0.10	20%	6 May →
cache	13–3	0.06	9%	6 May →
cache	4–13	-0.06	9%	6 May →
cache	13–11	0.01	24%	6 May →
cache	13–8	-0.03	20%	6 May →
cache	13–5	0.04	26%	6 May →
cache	3–13	-0.09	12%	5 May →
cache	12–12	0.03	9%	5 May →
anubis	16–14	-0.01	6%	4 May →
cache	13–6	0.05	17%	4 May →
cache	8–13	-0.02	10%	3 May →
cache	13–5	0.01	17%	3 May →
cache	7–13	-0.01	16%	3 May →
cache	11–13	-0.03	21%	2 May →
cache	13–7	-0.00	22%	2 May →
vertigo	6–13	-0.06	9%	2 May →
cache	11–13	-0.05	28%	2 May →
cache	13–7	0.03	9%	2 May →
cache	11–13	-0.01	7%	1 May →
cache	8–13	0.01	22%	1 May →
cache	1–13	-0.03	15%	1 May →
cache	9–13	0.02	33%	1 May →
cache	4–13	-0.05	14%	1 May →
cache	13–3	-0.05	8%	1 May →
cache	12–12	0.01	18%	1 May →
cache	5–13	0.11	18%	29 Apr →
ancient	13–3	-0.01	18%	29 Apr →
cache	13–9	-0.07	12%	29 Apr →
cache	13–5	-0.02	16%	29 Apr →
cache	12–12	-0.04	20%	29 Apr →
mirage	13–7	-0.03	12%	28 Apr →
dust2	7–13	-0.04	19%	28 Apr →
ancient	13–9	0.05	11%	28 Apr →
inferno	10–13	-0.08	6%	27 Apr →
dust2	5–13	-0.04	11%	27 Apr →
ancient	7–13	-0.02	14%	26 Apr →
dust2	11–13	-0.03	15%	26 Apr →
inferno	10–13	0.00	15%	26 Apr →
anubis	13–11	-0.02	1%	26 Apr →