EpicKills — CS2 Stats

76561197992866366[U:1:32600638]

1,259Tracked matches41%Win rate2021Tracked since

2,875Hours in CS17Hrs last 2 wks

CSDB Rating3.0 Learning

Premier CS Rating14,328Blue band · top ~32% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	41.4%	41.7%	44.1%	2.7% short
Shot accuracy	12.8%	8.8%	11.4%	above
Kill/death ratio	0.91	0.97	1.03	0.12 short
Match win rate	41.0%	43.8%	45.2%	4.2% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Purple 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

Aim36

Positioning27

Utility44

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLLWLWLLWLL

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

Player DNA

Aim3.6

Aggression0.9

Utility4.4

Positioning2.7

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 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 666ms 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

Aim3.6

Positioning2.7

Utility4.4

Mechanics4.8

Opening Duels0.0

Win Impact2.1

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time669ms−2ms

first ⅓ avg 671ms → last ⅓ avg 669ms

Headshot accuracy17.0%−0.5%

first ⅓ avg 17.6% → last ⅓ avg 17.0%

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

0.08Best rating — nuke 13–2

13–0Biggest win — mirage

8Longest win streak

L2Current streak

12–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 67% over 6dust2Weakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	17	9–8	53%	-0.01
dust2	C	17	6–11	35%	-0.03
cache	B	15	7–8	47%	-0.04
nuke	C	10	4–6	40%	-0.04
inferno	A	10	6–4	60%	-0.03
ancient	C	9	4–5	44%	-0.04
anubis	S	6	4–2	67%	-0.04
train	A	5	3–2	60%	-0.01
office	—	3	1–2	33%	-0.05
vertigo	—	2	1–1	50%	-0.01
boulder	—	2	1–1	50%	-0.02
italy	—	1	1–0	100%	-0.05
overpass	—	1	0–1	0%	-0.08
shelter	—	1	1–0	100%	-0.06
fachwerk	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,395Lifetime kills

0.91K/D

5,325Matches

41.0%Match win rate

41.4%Headshot %

12.8%Shot accuracy · Top 50% of Blue band

7,407MVPs

1,588Hours (in match)

2,323Bombs planted

636Bombs defused

Most-used weapons

AK-4720,790

M4A4 / M4A1-S12,198

AWP10,482

Desert Eagle3,607

P2000 / USP-S3,284

SSG 082,525

Galil AR2,432

MP92,308

P901,854

Glock-181,691

Lifetime map wins

11,412dust2

3,472inferno

2,184nuke

1,010vertigo

977train

845office

610cbble

496italy

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

Faceit stats

Combat

14Matches

21%Win rate

0.68Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWL

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.

17.0%Headshot accuracy

27.4%Accuracy (enemy spotted)

27.9%Spray accuracy

71.5%Counter-strafing

9.8°Preaim

666msReaction time

16.6%T opening success

19.4%CT opening success

0.42Enemies flashed / flash

6.5%Flash assists

11.00HE damage / grenade

5.31Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4181 — below the 0.5 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 16.556% — below the 40% mark we flag

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.

35% win rate across 17 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
cache	7–13	0.01	12%	29 Aug →
mirage	8–13	0.01	27%	29 Aug →
cache	13–11	-0.02	15%	28 Aug →
dust2	8–13	-0.05	22%	28 Aug →
vertigo	13–3	0.05	7%	26 Aug →
dust2	2–13	-0.09	5%	26 Aug →
vertigo	5–13	-0.07	14%	25 Aug →
dust2	13–11	-0.05	26%	25 Aug →
mirage	5–13	-0.02	24%	25 Aug →
nuke	7–13	-0.07	12%	25 Aug →
cache	2–13	-0.09	8%	25 Aug →
dust2	6–13	-0.01	20%	25 Aug →
mirage	13–0	-0.00	16%	24 Aug →
dust2	9–13	-0.05	29%	24 Aug →
inferno	13–11	-0.02	9%	21 Aug →
office	6–13	-0.06	18%	20 Aug →
anubis	13–7	-0.05	13%	20 Aug →
dust2	13–7	-0.01	28%	20 Aug →
mirage	5–13	-0.03	16%	20 Aug →
cache	9–13	-0.07	28%	20 Aug →
mirage	13–11	-0.04	18%	17 Aug →
cache	13–6	-0.08	7%	17 Aug →
mirage	13–8	-0.05	17%	16 Aug →
office	4–13	-0.10	13%	16 Aug →
nuke	13–2	0.02	16%	16 Aug →
train	13–3	0.02	24%	16 Aug →
ancient	12–12	-0.09	8%	16 Aug →
nuke	11–13	-0.07	8%	15 Aug →
mirage	5–13	0.04	23%	15 Aug →
train	9–13	-0.07	21%	15 Aug →
dust2	13–7	0.01	16%	13 Aug →
dust2	4–13	-0.02	21%	13 Aug →
dust2	7–13	-0.04	23%	9 Aug →
mirage	13–6	-0.01	20%	7 Aug →
inferno	13–6	-0.01	27%	7 Aug →
mirage	10–13	0.02	25%	7 Aug →
cache	12–12	-0.01	19%	7 Aug →
nuke	13–1	-0.04	25%	7 Aug →
cache	9–13	-0.06	13%	6 Aug →
dust2	8–13	-0.05	16%	6 Aug →
inferno	5–9	-0.09	19%	5 Aug →
italy	13–5	-0.05	21%	5 Aug →
cache	4–13	-0.08	12%	5 Aug →
nuke	12–12	-0.06	13%	5 Aug →
train	13–8	-0.07	23%	4 Aug →
dust2	13–6	0.02	21%	3 Aug →
mirage	6–13	0.04	20%	3 Aug →
cache	2–13	-0.05	16%	1 Aug →
ancient	13–10	-0.06	16%	1 Aug →
ancient	13–9	-0.04	15%	1 Aug →
dust2	6–13	-0.08	17%	1 Aug →
anubis	13–5	0.02	5%	31 Jul →
cache	13–10	0.05	15%	31 Jul →
anubis	4–13	-0.03	8%	31 Jul →
cache	13–10	-0.03	9%	31 Jul →
ancient	13–10	-0.03	7%	30 Jul →
dust2	12–12	0.02	16%	28 Jul →
nuke	5–13	-0.06	28%	28 Jul →
ancient	7–13	-0.06	19%	28 Jul →
nuke	9–13	-0.04	21%	27 Jul →
inferno	13–4	0.00	33%	27 Jul →
cache	13–7	-0.00	20%	26 Jul →
overpass	11–13	-0.08	16%	25 Jul →
anubis	13–9	-0.09	19%	25 Jul →
inferno	13–7	0.04	18%	25 Jul →
cache	13–8	-0.01	20%	24 Jul →
dust2	13–7	0.01	29%	24 Jul →
mirage	6–13	-0.06	18%	24 Jul →
mirage	13–11	0.03	16%	24 Jul →
inferno	13–11	-0.03	22%	24 Jul →
mirage	13–11	0.00	24%	24 Jul →
anubis	13–11	-0.08	9%	24 Jul →
ancient	8–13	-0.04	13%	23 Jul →
nuke	12–12	-0.09	11%	23 Jul →
train	10–13	0.05	17%	23 Jul →
dust2	2–13	-0.07	20%	23 Jul →
inferno	10–13	0.00	22%	23 Jul →
inferno	10–13	-0.05	13%	22 Jul →
mirage	7–13	-0.05	23%	22 Jul →
inferno	13–11	-0.05	20%	21 Jul →
dust2	2–0	-0.00	0%	21 Jul →
dust2	11–13	-0.06	17%	19 Jul →
anubis	11–13	-0.03	9%	18 Jul →
boulder	12–12	-0.04	21%	11 Jul →
shelter	13–11	-0.06	16%	10 Jul →
boulder	13–1	0.00	33%	10 Jul →
fachwerk	13–2	-0.06	20%	10 Jul →
mirage	13–5	-0.02	21%	10 Jul →
cache	16–13	-0.02	16%	10 Jul →
mirage	13–5	-0.02	11%	10 Jul →
nuke	13–5	-0.03	21%	10 Jul →
ancient	13–6	0.05	16%	9 Jul →
inferno	1–10	-0.06	18%	9 Jul →
cache	1–13	-0.09	20%	9 Jul →
nuke	13–2	0.08	12%	9 Jul →
ancient	5–13	-0.12	26%	9 Jul →
office	13–10	0.01	26%	9 Jul →
train	13–2	0.02	10%	9 Jul →
ancient	9–13	0.03	19%	9 Jul →
mirage	13–11	0.00	22%	8 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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