n11m4- — CS2 Stats

AZ76561199001459335[U:1:1041193607]Steam profile ↗✓ No bans

1,924Tracked matches48%Win rate2021Tracked since

CSDB Rating7.4 StrongSupport

Premier CS Rating26,555Top 5% of 175,286 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#8114 of 221237 tracked

FaceitLevel 10 · 2,465 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 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.

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. 40 days played since 29 Jun 2026. 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: 26,555 +181 29 Jun – 15 Sept · 29 days played

27,431Peak Premier in tracked matches

2,465Highest Faceit ELO seen on CSDB

40Days played since 2026-06-29

Faceit ELO

At peak — 2,465
Next: 2,500 ELO at 2,500 — 35 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

876 below peak (27,431)
+770 over 30 days · improving
+181 over 90 days
Next: Gold band at 30,000 — 3,445 to go
Reached: Red band · Pink band · Purple band · Blue band

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.

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Performance scores

Aim93

Positioning60

Utility60

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLWLLLLWLLL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +1.1pp headshot accuracy · +84ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.03
Avg headshot accuracy 32%
Avg reaction 566ms

Last 10

2–8 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 30%
Avg reaction 591ms

Last 20

7–12–1 · 35% win rate
Avg rating 0.02
Avg headshot accuracy 29%
Avg reaction 550ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim9.3

Utility6.0

Positioning6.0

Opening Duels3.5

Clutch3.8

Sharp aimer

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 sh1ro 92% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

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

Aim9.3

Positioning6.0

Utility6.0

Mechanics8.3

Opening Duels4.7

Win Impact4.4

Composite 7.4/10 (Strong), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time549ms−113ms

first ⅓ avg 662ms → last ⅓ avg 549ms

Headshot accuracy28.6%+0.9%

first ⅓ avg 27.7% → last ⅓ avg 28.6%

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

0.30Best match rating · 3–0 · mirage, 6 Aug →

51%Best headshot accuracy · 9–13 · anubis, 15 Jul →

375msFastest reaction time · 3–13 · dust2, 1 Sept →

13–1Biggest win · ancient, 15 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–13In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 73% over 15anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	35	14–21	40%	0.00
mirage	A	23	13–10	57%	0.05
ancient	S	15	11–4	73%	0.04
anubis	D	9	3–6	33%	0.02
nuke	A	9	5–4	56%	0.02
cache	D	6	2–4	33%	0.01
inferno	—	2	1–1	50%	0.04
overpass	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

676Matches

54%Win rate

1.08Avg K/D

83.5ADR

52%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	185	53%	1.08	16.5
Ancient	114	60%	1.19	17.5
Dust2	96	55%	1.09	16.6
Nuke	60	50%	1.21	17.7
Anubis	57	46%	1.20	19.2
Vertigo	36	58%	1.11	17.2
Inferno	19	68%	1.10	16.0
Train	11	55%	0.96	17.6

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.

28.8%Headshot accuracy

36.7%Accuracy (enemy spotted)

38.2%Spray accuracy

87.4%Counter-strafing

6.8°Preaim

546msReaction time

52.5%T opening success

45.1%CT opening success

0.70Enemies flashed / flash

12.0%Flash assists

10.03HE damage / grenade

8.26Flashes / match

Recommended for you

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 9 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	4–13	0.06	39%	15 Sept →
dust2	13–4	0.05	22%	15 Sept →
dust2	3–13	0.05	23%	12 Sept →
ancient	9–13	-0.03	30%	12 Sept →
inferno	3–13	0.01	46%	12 Sept →
mirage	11–13	0.01	38%	12 Sept →
anubis	13–3	0.04	18%	11 Sept →
dust2	9–13	0.02	33%	11 Sept →
dust2	11–13	-0.02	21%	11 Sept →
dust2	5–13	-0.04	26%	10 Sept →
dust2	2–13	0.04	33%	10 Sept →
ancient	13–5	0.11	36%	8 Sept →
mirage	5–13	0.07	21%	7 Sept →
dust2	8–13	-0.04	30%	7 Sept →
mirage	5–2	0.17	50%	1 Sept →
dust2	15–15	-0.10	29%	1 Sept →
dust2	3–13	-0.07	20%	1 Sept →
mirage	13–10	0.00	19%	31 Aug →
nuke	16–13	-0.00	28%	31 Aug →
ancient	13–9	0.00	22%	26 Aug →
dust2	6–13	-0.09	18%	26 Aug →
cache	8–13	-0.03	30%	26 Aug →
inferno	13–10	0.06	37%	26 Aug →
dust2	11–13	0.03	29%	25 Aug →
dust2	13–9	0.06	39%	25 Aug →
dust2	13–5	0.08	26%	24 Aug →
ancient	13–3	0.06	21%	23 Aug →
nuke	3–1	0.05	25%	23 Aug →
dust2	13–7	-0.02	34%	23 Aug →
ancient	13–3	0.07	26%	23 Aug →
ancient	7–13	-0.01	20%	22 Aug →
nuke	13–11	0.04	27%	22 Aug →
mirage	10–13	0.03	26%	22 Aug →
cache	13–9	0.01	43%	16 Aug →
mirage	13–7	0.08	26%	9 Aug →
nuke	10–13	0.02	23%	6 Aug →
dust2	16–14	0.03	33%	6 Aug →
mirage	3–0	0.30	17%	6 Aug →
dust2	9–13	0.04	41%	5 Aug →
ancient	10–13	-0.01	19%	3 Aug →
mirage	13–7	0.03	29%	3 Aug →
nuke	11–13	-0.00	29%	3 Aug →
ancient	13–3	0.08	31%	3 Aug →
dust2	13–9	0.10	39%	3 Aug →
cache	5–13	-0.00	19%	3 Aug →
dust2	13–8	0.07	29%	29 Jul →
anubis	10–13	0.04	20%	29 Jul →
dust2	11–13	-0.03	29%	28 Jul →
mirage	13–2	-0.07	20%	28 Jul →
anubis	13–7	0.00	46%	28 Jul →
anubis	12–12	0.03	22%	26 Jul →
mirage	7–13	-0.03	20%	26 Jul →
mirage	12–16	0.04	29%	25 Jul →
anubis	6–13	-0.07	32%	22 Jul →
ancient	11–13	0.00	38%	22 Jul →
cache	13–11	0.10	45%	21 Jul →
dust2	13–7	0.12	29%	21 Jul →
ancient	13–3	0.02	28%	21 Jul →
anubis	11–13	-0.06	22%	20 Jul →
dust2	15–15	-0.06	29%	20 Jul →
dust2	3–13	-0.07	17%	20 Jul →
dust2	10–13	-0.07	41%	20 Jul →
nuke	2–13	0.01	31%	20 Jul →
ancient	13–6	0.12	31%	20 Jul →
dust2	4–13	-0.03	22%	19 Jul →
dust2	13–6	-0.03	36%	18 Jul →
mirage	13–5	0.07	23%	18 Jul →
dust2	13–4	0.02	33%	18 Jul →
mirage	13–3	0.05	27%	17 Jul →
mirage	13–3	0.05	27%	17 Jul →
dust2	13–16	-0.04	19%	17 Jul →
ancient	16–13	0.04	28%	17 Jul →
dust2	11–13	-0.01	27%	15 Jul →
anubis	9–13	0.09	51%	15 Jul →
mirage	13–8	0.03	29%	15 Jul →
nuke	14–16	0.05	30%	15 Jul →
ancient	13–1	0.04	21%	15 Jul →
dust2	15–15	0.01	32%	14 Jul →
mirage	13–2	0.06	18%	14 Jul →
dust2	16–14	-0.00	19%	13 Jul →
mirage	11–13	0.01	32%	13 Jul →
ancient	13–10	0.02	15%	13 Jul →
mirage	9–13	0.02	19%	13 Jul →
nuke	13–8	-0.00	29%	13 Jul →
dust2	13–9	0.03	27%	9 Jul →
cache	11–13	-0.02	27%	7 Jul →
mirage	13–1	0.16	30%	7 Jul →
cache	7–13	-0.03	26%	7 Jul →
dust2	13–10	0.00	21%	6 Jul →
anubis	13–4	0.09	24%	5 Jul →
dust2	7–13	0.01	34%	5 Jul →
mirage	7–13	-0.02	26%	5 Jul →
nuke	13–9	-0.00	27%	3 Jul →
overpass	11–13	0.00	38%	3 Jul →
anubis	15–15	0.01	26%	3 Jul →
ancient	13–5	0.11	34%	3 Jul →
mirage	13–6	0.06	25%	2 Jul →
mirage	10–13	0.00	29%	1 Jul →
dust2	13–11	0.12	34%	30 Jun →
dust2	14–16	0.02	31%	29 Jun →