Eeeeaan — CS2 Stats

76561199137633092[U:1:1177367364]Steam profile ↗✓ No bans

1,032Tracked matches47%Win rate2021Tracked since

CSDB Rating6.5 SolidAll-Rounder

Premier CS Rating25,000Top 25% of 203,724 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#20884 of 251087 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,000 +7,072 25 Jun – 1 Oct · 21 days played

25,639Peak Premier in tracked matches

41Days played since 2026-06-25

Premier CS Rating

639 below peak (25,639)
-30 over 30 days · steady
+7,140 over 90 days
Next: Gold band at 30,000 — 5,000 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-04
Pink band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim70

Positioning63

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateLLLLWWWWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · +45ms 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

1–4 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 23%
Avg reaction 533ms

Last 10

5–5 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 516ms

Last 20

9–11 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 493ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.0

Utility5.6

Positioning6.3

Opening Duels4.5

Clutch5.6

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 jL 89% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

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

Positioning6.3

Utility5.6

Mechanics6.1

Opening Duels7.0

Win Impact3.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time516ms−10ms

first ⅓ avg 526ms → last ⅓ avg 516ms

Headshot accuracy15.1%+1.1%

first ⅓ avg 14.0% → last ⅓ avg 15.1%

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

0.15Best match rating · 13–4 · overpass, 29 Aug →

57%Best headshot accuracy · 4–1 · nuke, 27 Sept →

328msFastest reaction time · 6–1 · mirage, 22 Aug →

13–1Biggest win · boulder, 7 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L4Current streak

6–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 57% over 14anubisWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	23	10–13	43%	-0.02
dust2	C	18	8–10	44%	0.01
cache	A	14	8–6	57%	-0.00
nuke	B	12	6–6	50%	0.01
anubis	D	12	4–8	33%	-0.00
mirage	C	9	4–5	44%	-0.02
overpass	—	4	4–0	100%	0.03
inferno	—	3	3–0	100%	-0.04
vertigo	—	3	2–1	67%	0.05
train	—	1	0–1	0%	0.04
boulder	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

144Matches

54%Win rate

1.11Avg K/D

81.9ADR

39%Headshot %

Clutches & streaks

48%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	36	58%	1.16	16.5
Ancient	29	83%	1.22	14.9
Anubis	17	41%	0.96	14.8
Dust2	16	50%	1.21	15.6
Nuke	15	27%	1.19	17.6
Inferno	9	44%	1.09	11.8
Cache	8	25%	0.88	13.9
Vertigo	5	60%	0.83	14.8

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.

13.8%Headshot accuracy

33.6%Accuracy (enemy spotted)

38.4%Spray accuracy

77.5%Counter-strafing

9.2°Preaim

517msReaction time

60.5%T opening success

55.1%CT opening success

0.67Enemies flashed / flash

10.6%Flash assists

12.64HE damage / grenade

5.49Flashes / 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 13.841% — below the 15% mark we flag
Aim Training →

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	-0.06	10%	4 Oct →
mirage	9–13	-0.04	17%	2 Oct →
nuke	10–13	-0.08	16%	1 Oct →
anubis	9–13	0.01	17%	27 Sept →
nuke	4–1	0.01	57%	27 Sept →
dust2	13–8	-0.04	11%	27 Sept →
ancient	13–8	-0.02	4%	26 Sept →
ancient	13–9	0.01	5%	26 Sept →
dust2	11–13	-0.03	10%	26 Sept →
mirage	13–9	0.04	10%	26 Sept →
mirage	10–13	-0.04	14%	26 Sept →
dust2	7–13	-0.03	14%	25 Sept →
dust2	11–13	0.02	17%	24 Sept →
cache	8–13	-0.04	16%	20 Sept →
dust2	13–7	0.00	17%	20 Sept →
inferno	16–13	-0.03	5%	20 Sept →
dust2	1–7	0.01	20%	19 Sept →
dust2	2–13	0.06	10%	19 Sept →
anubis	13–10	0.00	22%	19 Sept →
inferno	13–11	-0.03	14%	18 Sept →
ancient	13–10	0.00	20%	18 Sept →
dust2	13–3	0.07	9%	18 Sept →
dust2	13–5	0.06	11%	16 Sept →
dust2	10–13	-0.01	17%	16 Sept →
mirage	13–9	0.14	17%	13 Sept →
ancient	6–13	0.01	23%	12 Sept →
dust2	8–13	0.02	21%	12 Sept →
dust2	16–14	-0.00	8%	10 Sept →
anubis	9–13	-0.03	10%	10 Sept →
cache	11–13	-0.06	13%	9 Sept →
ancient	13–3	-0.03	19%	9 Sept →
ancient	13–4	-0.04	9%	4 Sept →
dust2	13–4	0.11	17%	3 Sept →
anubis	11–13	0.01	5%	3 Sept →
ancient	2–13	-0.02	16%	2 Sept →
vertigo	13–9	-0.03	15%	2 Sept →
cache	15–15	-0.03	7%	2 Sept →
ancient	4–13	-0.10	10%	2 Sept →
ancient	13–8	-0.04	11%	2 Sept →
ancient	7–13	0.03	17%	29 Aug →
overpass	13–4	0.15	16%	29 Aug →
cache	13–2	-0.07	16%	29 Aug →
anubis	9–13	-0.05	10%	29 Aug →
nuke	10–13	-0.10	7%	29 Aug →
dust2	16–14	-0.02	21%	27 Aug →
vertigo	10–13	0.06	13%	23 Aug →
anubis	14–16	-0.00	16%	23 Aug →
ancient	15–15	-0.02	16%	22 Aug →
mirage	6–1	-0.05	0%	22 Aug →
ancient	15–15	-0.06	9%	21 Aug →
ancient	10–13	0.01	12%	21 Aug →
inferno	13–11	-0.06	10%	21 Aug →
nuke	13–10	0.01	18%	21 Aug →
cache	15–15	-0.07	17%	21 Aug →
anubis	13–11	-0.07	15%	21 Aug →
nuke	13–10	0.03	19%	21 Aug →
anubis	13–7	0.05	14%	21 Aug →
ancient	1–9	-0.04	3%	21 Aug →
mirage	6–13	-0.07	20%	19 Aug →
anubis	8–13	0.03	8%	16 Aug →
ancient	1–13	-0.08	10%	15 Aug →
anubis	9–13	-0.05	10%	15 Aug →
anubis	11–13	-0.01	21%	15 Aug →
train	12–12	0.04	10%	15 Aug →
cache	13–6	0.08	17%	13 Aug →
nuke	13–10	0.04	14%	13 Aug →
nuke	10–13	0.04	18%	13 Aug →
vertigo	13–4	0.12	5%	9 Aug →
nuke	10–13	-0.03	15%	8 Aug →
anubis	13–7	0.08	10%	8 Aug →
boulder	13–1	0.05	22%	7 Aug →
cache	13–5	0.01	12%	7 Aug →
cache	12–12	-0.02	13%	6 Aug →
nuke	13–2	0.05	18%	6 Aug →
dust2	12–12	0.02	23%	2 Aug →
ancient	6–13	-0.06	13%	2 Aug →
nuke	10–13	0.01	24%	30 Jul →
ancient	13–3	0.06	14%	30 Jul →
dust2	13–11	-0.01	6%	26 Jul →
cache	16–13	0.03	13%	26 Jul →
cache	13–6	-0.01	12%	26 Jul →
nuke	13–6	0.04	17%	26 Jul →
nuke	9–13	0.05	21%	24 Jul →
ancient	13–9	-0.01	16%	24 Jul →
dust2	5–13	0.04	10%	23 Jul →
cache	11–13	0.11	22%	23 Jul →
cache	13–4	-0.04	7%	3 Jul →
mirage	13–5	-0.10	5%	3 Jul →
cache	13–10	0.03	9%	2 Jul →
ancient	13–2	-0.04	9%	2 Jul →
ancient	8–13	-0.07	12%	1 Jul →
ancient	12–12	0.01	13%	26 Jun →
dust2	12–16	0.00	16%	26 Jun →
overpass	13–3	0.06	22%	26 Jun →
ancient	11–13	-0.05	12%	26 Jun →
overpass	13–8	-0.04	10%	26 Jun →
cache	13–4	0.01	17%	25 Jun →
ancient	13–6	0.02	18%	25 Jun →
mirage	12–12	-0.03	13%	25 Jun →
overpass	13–5	-0.03	13%	25 Jun →