Epokolipse — CS2 Stats

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

1,911Tracked matches41%Win rate2021Tracked since

6,437Hours in CS18Hrs last 2 wks

CSDB Rating5.7 SolidPositional 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 15 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

+24Tracked matches · now 1,911

+8.1ppWin rate · 33.3% → 41.4%

Rating over time

40Days played since 2026-06-25

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	41	—	—
Win rate	41%	—	—
K/D	1.26	—	—
Headshot %	38%	—	—

Measured 2 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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=13,989), 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%	32.1% short
Shot accuracy	14.9%	11.3%	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

Aim64

Positioning63

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY33–57–10Last 10033%Win rateLWWWWLLLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.0pp headshot accuracy · +15ms reaction

Win rate +10pp 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

4–1 · 80% win rate
Avg rating 0.02
Avg headshot accuracy 12%
Avg reaction 659ms

Last 10

5–5 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 13%
Avg reaction 607ms

Last 20

9–10–1 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 13%
Avg reaction 600ms

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 (+2.5 against its own average).

Aim6.4

Utility4.6

Positioning6.3

Opening Duels4.3

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 ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 614ms 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

Aim6.4

Positioning6.3

Utility4.6

Mechanics7.0

Opening Duels5.8

Win Impact2.1

Composite 5.7/10 (Solid), 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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time616ms−36ms

first ⅓ avg 651ms → last ⅓ avg 616ms

Headshot accuracy13.1%+0.2%

first ⅓ avg 12.9% → last ⅓ avg 13.1%

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.

Personal bests

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

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

453msFastest reaction time · 8–2 · dust2, 7 Sept →

13–0Biggest win · office, 28 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

5–7In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 55% over 11ancientWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
office	C	26	10–16	38%	0.01
dust2	D	16	3–13	19%	-0.00
inferno	C	11	4–7	36%	0.01
mirage	A	11	6–5	55%	0.04
vertigo	D	10	3–7	30%	0.01
cache	D	9	2–7	22%	0.02
nuke	C	8	3–5	38%	0.00
ancient	D	7	0–7	0%	0.00
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 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

419,764Lifetime kills

1.18K/D · Top 25% of Level 4 players

6,651Matches

38.6%Match win rate

11.7%Headshot %

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

10,143MVPs

2,076Hours (in match)

5,300Bombs planted

1,081Bombs defused

Most-used weapons

AK-47315,912

M4A4 / M4A1-S21,370

AWP19,171

P2000 / USP-S6,263

Glock-184,990

Five-SeveN4,830

Desert Eagle4,469

Tec-94,286

P2503,625

P903,564

Lifetime map wins

12,848dust2

4,746inferno

2,692nuke

1,736office

1,117vertigo

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.

13.0%Headshot accuracy

36.5%Accuracy (enemy spotted)

38.6%Spray accuracy

81.4%Counter-strafing

10.5°Preaim

614msReaction time

58.3%T opening success

48.4%CT opening success

0.51Enemies flashed / flash

5.7%Flash assists

18.13HE damage / grenade

2.45Flashes / 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 12.9881% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.4509 — below the 4 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 7 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
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 →
office	13–8	0.07	11%	16 Jul →
nuke	2–13	-0.05	7%	16 Jul →
vertigo	12–12	-0.02	12%	16 Jul →
office	10–13	-0.00	20%	15 Jul →
cache	9–13	-0.03	6%	14 Jul →
ancient	8–13	0.02	9%	14 Jul →
mirage	11–13	-0.02	13%	13 Jul →
nuke	13–10	-0.07	7%	13 Jul →
office	9–13	-0.05	15%	9 Jul →
dust2	1–13	-0.02	19%	9 Jul →
mirage	13–5	0.05	8%	9 Jul →
dust2	10–13	-0.04	19%	6 Jul →
dust2	11–13	-0.01	11%	6 Jul →
inferno	12–12	-0.02	6%	1 Jul →
ancient	3–13	-0.00	14%	1 Jul →
office	9–13	0.05	9%	1 Jul →
inferno	13–8	-0.03	20%	30 Jun →
office	13–11	0.05	18%	30 Jun →
mirage	9–13	-0.00	17%	29 Jun →
cache	13–5	0.06	15%	29 Jun →
office	8–13	-0.04	24%	29 Jun →
cache	7–13	0.01	8%	26 Jun →
mirage	13–9	0.00	14%	26 Jun →
mirage	5–13	-0.05	9%	25 Jun →
cache	8–13	0.07	14%	25 Jun →