🧿EJS — CS2 Stats

MN76561198158485228[U:1:198219500]Steam profile ↗✓ No bans

2,286Tracked matches43%Win rate2020Tracked since

6,059Hours in CS

CSDB Rating6.3 SolidPositional Player

Premier CS Rating24,672Top 25% of 180,525 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

CSDB Leaderboard#23406 of 224283 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,286 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 3 Oct 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,672 -914 5 Oct – 16 Sept · 15 days played

Faceit ELO: 2,420 +0 2 Sept – 16 Sept · 4 observations

26,348Peak Premier in tracked matches

2,420Highest Faceit ELO seen on CSDB

37Days played since 2025-10-03

Faceit ELO

At peak — 2,420
Next: 2,500 ELO at 2,500 — 80 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-02
Level 9 first seen 2026-09-02

Premier CS Rating

1,676 below peak (26,348)
Next: Red band at 25,000 — 328 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-02
Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

No matches recorded between 11 Sep 2026 and 18 Sep 2026.

Measured 11 Sep 2026 → 18 Sep 2026; previous 4 Sep 2026 → 11 Sep 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 Pink band among CSDB-tracked players (n=36,054), 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	47.5%	47.0%	49.2%	1.7% short
Shot accuracy	15.4%	13.0%	13.3%	above
Kill/death ratio	1.04	1.08	1.13	0.09 short
Match win rate	44.9%	46.7%	48.5%	3.6% short

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

Widest gap: Kill/death ratio. 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

Aim83

Positioning56

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLWLWLWWLWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −4.8pp headshot accuracy · −11ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 552ms

Last 10

5–5 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 19%
Avg reaction 556ms

Last 20

7–13 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 562ms

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 (+0.9 against its own average).

Aim8.3

Utility5.4

Positioning5.6

Opening Duels4.8

Clutch3.0

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 iM 96% playstyle similarity

Most alike: aim profile, utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 569ms 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

Aim8.3

Positioning5.6

Utility5.4

Mechanics6.9

Opening Duels4.1

Win Impact2.8

Composite 6.3/10 (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-0.00−0.04

first ⅓ avg 0.04 → last ⅓ avg -0.00

Reaction time573ms−38ms

first ⅓ avg 611ms → last ⅓ avg 573ms

Headshot accuracy21.2%−4.2%

first ⅓ avg 25.4% → last ⅓ avg 21.2%

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

0.13Best match rating · 13–7 · palacio, 23 Oct →

50%Best headshot accuracy · 0–7 · vertigo, 23 Oct →

313msFastest reaction time · 5–9 · inferno, 10 May →

13–1Biggest win · office, 26 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

7–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

palacioBest map · 71% over 7infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	12	3–9	25%	0.02
office	A	12	7–5	58%	0.03
anubis	A	11	7–4	64%	0.00
ancient	A	11	7–4	64%	0.01
mirage	S	9	6–3	67%	0.03
palacio	S	7	5–2	71%	0.04
vertigo	S	6	4–2	67%	0.02
dust2	B	6	3–3	50%	-0.01
nuke	C	5	2–3	40%	-0.00
agency	—	4	1–3	25%	0.04
golden	—	4	4–0	100%	0.04
warden	—	3	1–2	33%	0.01
stronghold	—	2	1–1	50%	-0.02
alpine	—	2	1–1	50%	0.02
train	—	2	2–0	100%	0.03
overpass	—	2	0–2	0%	0.00
italy	—	1	1–0	100%	0.04
rooftop	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

245,238Lifetime kills

1.04K/D

11,079Matches

44.9%Match win rate

47.5%Headshot % · Top 50% of Pink band

15.4%Shot accuracy · Top 50% of Pink band

40,336MVPs

6,059Hours (in match)

6,918Bombs planted

2,735Bombs defused

Most-used weapons

AK-4789,210

AWP34,134

M4A4 / M4A1-S34,011

Desert Eagle19,394

P2000 / USP-S11,322

Knife7,881

Glock-187,232

P2503,424

SG 5533,245

Tec-93,111

Lifetime map wins

13,787inferno

8,713dust2

6,913vertigo

4,753nuke

2,378train

1,960cbble

1,751office

1,568lake

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

Faceit stats

Combat

1,029Matches

54%Win rate

1.08Avg K/D

75.7ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	129	52%	1.00	15.2
Mirage	127	52%	0.99	15.7
Anubis	98	53%	1.13	16.0
Inferno	77	49%	1.00	16.2
Nuke	45	60%	1.15	16.6
Train	36	58%	1.01	14.9
Dust2	26	42%	0.99	14.9
Vertigo	25	80%	1.39	19.2

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.

21.4%Headshot accuracy

37.2%Accuracy (enemy spotted)

45.6%Spray accuracy

81.0%Counter-strafing

10.3°Preaim

569msReaction time

43.0%T opening success

50.0%CT opening success

0.49Enemies flashed / flash

10.1%Flash assists

7.34HE damage / grenade

8.91Flashes / 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 0.4878 — below the 0.5 mark we flag
Grenade Lineups →

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.

25% win rate across 12 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
nuke	13–16	-0.02	15%	15 May →
vertigo	9–1	-0.03	6%	13 May →
inferno	5–9	-0.09	8%	10 May →
anubis	13–11	0.01	18%	29 Apr →
inferno	11–13	0.06	25%	5 Apr →
anubis	16–14	0.01	18%	5 Apr →
anubis	13–9	-0.02	21%	4 Apr →
inferno	7–13	-0.04	18%	4 Apr →
dust2	13–10	0.01	27%	3 Apr →
mirage	3–13	-0.06	33%	3 Apr →
anubis	0–13	-0.07	32%	19 Mar →
nuke	9–13	-0.05	30%	19 Mar →
dust2	13–11	-0.04	29%	19 Mar →
ancient	12–16	-0.04	22%	15 Mar →
inferno	9–13	0.01	29%	6 Mar →
ancient	10–13	0.05	18%	6 Mar →
mirage	13–8	0.09	18%	25 Feb →
inferno	10–13	0.06	21%	14 Feb →
dust2	4–13	-0.06	19%	14 Feb →
stronghold	6–13	-0.03	22%	13 Feb →
mirage	13–10	0.03	21%	8 Feb →
inferno	13–4	0.04	36%	8 Feb →
mirage	4–13	-0.07	20%	8 Feb →
ancient	13–4	0.04	24%	8 Feb →
ancient	9–13	-0.02	14%	8 Feb →
anubis	25–22	-0.05	13%	4 Feb →
anubis	11–13	0.03	22%	30 Jan →
ancient	13–5	0.07	14%	30 Jan →
anubis	13–6	0.05	24%	30 Jan →
alpine	10–13	-0.03	19%	29 Jan →
warden	5–13	-0.02	21%	29 Jan →
anubis	13–3	0.08	20%	29 Jan →
dust2	10–13	0.02	24%	29 Jan →
inferno	13–11	0.04	15%	29 Jan →
ancient	13–9	0.08	22%	29 Jan →
dust2	3–13	0.03	32%	29 Jan →
anubis	5–13	0.07	33%	29 Jan →
alpine	13–7	0.06	27%	29 Jan →
warden	13–7	-0.01	26%	29 Jan →
stronghold	13–11	-0.00	34%	29 Jan →
nuke	3–13	0.03	17%	28 Jan →
inferno	9–13	0.03	26%	28 Jan →
warden	7–13	0.05	29%	28 Jan →
nuke	13–10	-0.04	11%	28 Jan →
mirage	8–2	0.08	12%	28 Jan →
mirage	13–7	0.11	30%	28 Jan →
ancient	13–5	0.05	8%	30 Dec →
inferno	8–13	-0.03	19%	30 Dec →
ancient	6–13	-0.00	20%	8 Dec →
inferno	15–15	0.03	31%	15 Nov →
ancient	13–8	-0.08	18%	13 Nov →
anubis	13–4	-0.02	40%	9 Nov →
dust2	16–13	0.00	22%	9 Nov →
agency	12–12	-0.03	29%	8 Nov →
agency	9–13	0.07	24%	8 Nov →
office	13–8	0.03	34%	8 Nov →
office	3–13	-0.12	24%	8 Nov →
office	10–13	0.11	27%	8 Nov →
mirage	10–13	0.03	24%	5 Nov →
ancient	16–14	-0.01	22%	5 Nov →
italy	13–6	0.04	26%	5 Nov →
mirage	13–5	-0.00	34%	3 Nov →
nuke	9–3	0.06	19%	3 Nov →
rooftop	7–9	-0.06	12%	3 Nov →
vertigo	9–6	-0.01	26%	3 Nov →
train	13–7	-0.02	41%	1 Nov →
overpass	11–13	-0.01	25%	1 Nov →
agency	4–13	-0.00	17%	29 Oct →
office	13–11	0.03	19%	29 Oct →
office	5–13	-0.01	24%	29 Oct →
anubis	6–13	-0.07	31%	28 Oct →
office	13–1	0.06	15%	26 Oct →
office	7–13	-0.04	17%	26 Oct →
golden	13–10	0.08	15%	23 Oct →
agency	13–8	0.12	38%	23 Oct →
palacio	13–8	0.04	24%	23 Oct →
palacio	13–7	0.13	13%	23 Oct →
office	13–5	0.07	27%	23 Oct →
vertigo	13–9	0.04	22%	23 Oct →
vertigo	13–10	0.05	28%	23 Oct →
vertigo	0–7	0.02	50%	23 Oct →
office	13–3	0.01	24%	23 Oct →
office	13–10	0.05	25%	23 Oct →
inferno	8–13	-0.01	30%	21 Oct →
palacio	13–5	-0.02	19%	11 Oct →
palacio	12–12	0.05	34%	8 Oct →
palacio	11–13	-0.01	33%	8 Oct →
overpass	15–15	0.01	24%	7 Oct →
vertigo	8–13	0.02	24%	5 Oct →
golden	13–5	0.00	32%	5 Oct →
train	13–7	0.08	28%	5 Oct →
inferno	13–3	0.12	19%	5 Oct →
office	7–13	0.08	20%	5 Oct →
palacio	13–10	0.02	17%	5 Oct →
ancient	13–5	0.01	21%	5 Oct →
mirage	13–6	0.04	19%	5 Oct →
golden	13–5	0.03	26%	5 Oct →
office	13–4	0.05	42%	5 Oct →
palacio	13–4	0.10	33%	3 Oct →
golden	13–9	0.05	25%	3 Oct →