Epokolipse — CS2 Stats

CA76561197987726522[U:1:27460794]Steam profile ↗✓ No bans

1,936Tracked matches42%Win rate2021Tracked since

6,502Hours in CS44Hrs last 2 wks

CSDB Rating5.4 DevelopingPositional Player

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+22Tracked matches · now 1,936

−3.2ppWin rate · 44.8% → 41.7%

Rating over time

39Days played since 2026-07-20

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	26	40	−14
Win rate	27%	43%	−16pp
K/D	1.18	1.25	−0.07
Headshot %	38%	37%	+2pp

Measured 4 Oct 2026 → 3 Nov 2026; previous 3 Sep 2026 → 4 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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	Level 4 median	Level 5 median	vs Level 5
Headshot rate	11.7%	42.7%	43.8%	32.0% short
Shot accuracy	14.9%	11.2%	12.0%	above
Kill/death ratio	1.18	0.99	1.02	above
Match win rate	38.6%	43.9%	44.7%	6.1% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim70

Positioning52

Utility33

0–100 skill scores via Leetify.

Recent form

COLD32–54–14Last 10032%Win rateLWLLTLLTLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.6pp headshot accuracy · +29ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–3–1 · 20% win rate
Avg rating 0.04
Avg headshot accuracy 13%
Avg reaction 631ms

Last 10

2–6–2 · 20% win rate
Avg rating 0.02
Avg headshot accuracy 11%
Avg reaction 611ms

Last 20

4–11–5 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 11%
Avg reaction 596ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim7.0

Utility3.3

Positioning5.2

Opening Duels3.8

Clutch0.0

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like donk 97% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

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

Reaction time. 593ms 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

Aim7.0

Positioning5.2

Utility3.3

Mechanics7.3

Opening Duels4.0

Win Impact2.2

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time591ms−37ms

first ⅓ avg 628ms → last ⅓ avg 591ms

Headshot accuracy12.0%−2.1%

first ⅓ avg 14.1% → last ⅓ avg 12.0%

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.

Personal bests

0.18Best match rating · 13–8 · office, 2 Sept →

32%Best headshot accuracy · 13–10 · inferno, 21 Sept →

438msFastest reaction time · 12–12 · inferno, 20 Oct →

13–0Biggest win · office, 28 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

6–10In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 45% over 11ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
office	D	27	9–18	33%	0.00
inferno	D	14	4–10	29%	0.02
dust2	D	14	3–11	21%	0.01
mirage	B	11	5–6	45%	0.05
vertigo	D	11	3–8	27%	0.01
nuke	C	8	3–5	38%	0.02
cache	C	7	3–4	43%	0.03
ancient	D	5	0–5	0%	-0.00
anubis	—	1	0–1	0%	-0.03
italy	—	1	1–0	100%	0.05
shelter	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

420,309Lifetime kills

1.18K/D · Top 25% of Level 4 players

6,680Matches

38.6%Match win rate

11.7%Headshot %

14.9%Shot accuracy · Top 50% of Level 4 players

10,230MVPs

2,091Hours (in match)

5,320Bombs planted

1,088Bombs defused

Most-used weapons

AK-47316,043

M4A4 / M4A1-S21,473

AWP19,235

P2000 / USP-S6,288

Glock-185,016

Five-SeveN4,842

Desert Eagle4,472

Tec-94,309

P2503,625

P903,564

Lifetime map wins

12,867dust2

4,784inferno

2,717nuke

1,799office

1,141vertigo

628cbble

428train

227lake

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

Faceit stats

Combat

143Matches

49%Win rate

0.96Avg K/D

48.1ADR

37%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	30	53%	0.94	14.6
Inferno	26	42%	0.85	13.0
Nuke	22	59%	0.96	12.7
Anubis	18	44%	0.90	14.2
Mirage	10	50%	1.32	12.4
Overpass	9	56%	0.94	14.6
Vertigo	1	100%	0.79	19.0

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.

11.7%Headshot accuracy

38.6%Accuracy (enemy spotted)

41.5%Spray accuracy

82.7%Counter-strafing

10.5°Preaim

593msReaction time

41.8%T opening success

50.5%CT opening success

0.35Enemies flashed / flash

0.7%Flash assists

14.85HE damage / grenade

2.97Flashes / 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.

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 11.6856% — below the 15% mark we flag
Aim Training →
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 0.3484 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	0.09	12%	3 Nov →
inferno	13–3	0.06	11%	3 Nov →
office	11–13	0.03	8%	3 Nov →
nuke	11–13	0.01	22%	2 Nov →
vertigo	12–12	-0.01	9%	2 Nov →
office	8–13	-0.00	10%	29 Oct →
inferno	10–13	0.08	10%	29 Oct →
dust2	12–12	0.05	21%	29 Oct →
office	11–13	-0.06	8%	28 Oct →
office	13–10	-0.06	2%	26 Oct →
anubis	3–13	-0.03	5%	26 Oct →
nuke	13–11	-0.02	11%	26 Oct →
cache	13–11	0.13	19%	21 Oct →
mirage	11–13	-0.03	9%	21 Oct →
inferno	4–13	-0.07	15%	21 Oct →
vertigo	12–12	-0.02	4%	20 Oct →
mirage	9–13	0.02	8%	20 Oct →
inferno	12–12	0.04	7%	20 Oct →
mirage	7–13	-0.03	15%	14 Oct →
inferno	12–12	-0.02	13%	14 Oct →
office	11–13	-0.03	11%	14 Oct →
office	12–12	-0.03	25%	7 Oct →
mirage	13–6	0.07	8%	2 Oct →
cache	13–4	0.02	13%	2 Oct →
office	8–13	-0.02	13%	2 Oct →
ancient	11–13	-0.00	9%	1 Oct →
cache	13–2	0.09	19%	1 Oct →
office	13–11	-0.07	11%	30 Sept →
vertigo	13–6	0.07	8%	30 Sept →
nuke	13–2	-0.00	13%	30 Sept →
office	11–13	0.04	18%	30 Sept →
dust2	10–13	-0.01	19%	25 Sept →
office	9–13	0.01	7%	25 Sept →
office	13–3	-0.00	14%	23 Sept →
vertigo	5–13	-0.02	7%	23 Sept →
italy	13–4	0.05	7%	23 Sept →
office	10–13	0.07	10%	22 Sept →
vertigo	13–10	0.04	12%	22 Sept →
nuke	8–13	0.09	11%	22 Sept →
office	5–13	0.03	5%	21 Sept →
inferno	13–10	0.03	32%	21 Sept →
vertigo	12–12	0.01	10%	21 Sept →
office	7–13	-0.02	15%	18 Sept →
ancient	2–13	-0.02	10%	18 Sept →
inferno	13–9	0.03	14%	17 Sept →
ancient	9–13	-0.04	5%	17 Sept →
dust2	0–6	-0.04	8%	17 Sept →
dust2	13–11	0.08	27%	16 Sept →
office	13–9	-0.02	8%	16 Sept →
office	11–13	0.01	14%	7 Sept →
inferno	7–13	-0.00	18%	7 Sept →
cache	10–13	-0.06	14%	7 Sept →
vertigo	10–13	0.06	10%	7 Sept →
nuke	8–13	-0.01	12%	7 Sept →
dust2	8–2	0.13	15%	7 Sept →
cache	10–13	0.06	11%	4 Sept →
vertigo	12–12	-0.01	15%	4 Sept →
dust2	1–13	-0.00	23%	3 Sept →
mirage	13–8	0.06	5%	3 Sept →
office	13–8	0.18	20%	2 Sept →
office	9–13	0.07	26%	2 Sept →
nuke	13–8	-0.02	18%	1 Sept →
office	13–11	-0.00	17%	31 Aug →
vertigo	13–5	0.05	24%	31 Aug →
office	10–13	-0.01	13%	31 Aug →
inferno	5–13	-0.00	21%	28 Aug →
dust2	7–13	-0.00	18%	28 Aug →
vertigo	11–13	0.01	13%	28 Aug →
cache	7–13	-0.03	13%	27 Aug →
mirage	13–3	0.11	19%	27 Aug →
mirage	7–13	0.05	15%	26 Aug →
ancient	7–13	-0.04	5%	26 Aug →
dust2	12–12	0.02	10%	26 Aug →
office	13–9	0.09	7%	24 Aug →
nuke	8–13	0.07	11%	24 Aug →
dust2	9–13	-0.03	20%	24 Aug →
cache	12–12	-0.01	14%	22 Aug →
dust2	13–5	0.09	24%	4 Aug →
dust2	3–13	-0.05	14%	31 Jul →
mirage	13–7	0.12	22%	31 Jul →
nuke	12–12	0.01	20%	31 Jul →
dust2	1–13	-0.04	21%	29 Jul →
shelter	13–3	0.02	11%	29 Jul →
office	3–13	-0.05	17%	29 Jul →
office	13–0	0.11	7%	28 Jul →
vertigo	1–13	-0.06	13%	28 Jul →
inferno	5–13	-0.01	8%	28 Jul →
office	13–11	0.05	18%	27 Jul →
mirage	12–12	0.04	15%	27 Jul →
ancient	11–13	0.09	11%	23 Jul →
inferno	12–12	-0.02	12%	22 Jul →
office	4–13	-0.10	29%	22 Jul →
dust2	3–13	-0.08	4%	22 Jul →
mirage	13–3	0.04	15%	22 Jul →
office	1–13	-0.06	16%	21 Jul →
inferno	5–13	-0.01	9%	21 Jul →
dust2	2–13	0.00	11%	21 Jul →
inferno	12–12	0.07	16%	20 Jul →
office	5–13	-0.05	8%	20 Jul →
inferno	13–6	0.09	20%	20 Jul →