｡🎐 ℐ 𝓬、𝓸𝓿🎐 — CS2 Stats

76561199797352126[U:1:1837086398]Steam profile ↗✓ No bans

814Tracked matches66%Win rate2024Tracked since

CSDB Rating8.4 StrongPositional Player

Premier CS Rating25,540Top 10% of 175,286 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#15010 of 221428 tracked

FaceitLevel 10 · 1,502 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (11 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. 53 days played since 31 May 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: 25,540 -1,106 31 May – 6 Sept · 5 days played

26,957Peak Premier in tracked matches

1,502Highest Faceit ELO seen on CSDB

53Days played since 2026-05-31

Faceit ELO

At peak — 1,502
Next: Level 8 at 1,531 — 29 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

1,417 below peak (26,957)
-1,417 over 90 days
Next: Gold band at 30,000 — 4,460 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

Aim92

Positioning76

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY62–35–3Last 10062%Win rateWWWLTWWLLT

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +1.8pp headshot accuracy · +0ms reaction

Win rate down 20pp 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

3–1–1 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 32%
Avg reaction 525ms

Last 10

5–3–2 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 30%
Avg reaction 514ms

Last 20

12–6–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 30%
Avg reaction 514ms

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 (+1.8 against its own average).

Aim9.2

Utility6.3

Positioning7.6

Opening Duels5.6

Clutch3.6

Sharp aimerExcellent counter-strafing

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 93% playstyle similarity

Most alike: opening-duel success, 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 92 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

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

Aim9.2

Positioning7.6

Utility6.3

Mechanics8.9

Opening Duels4.7

Win Impact10.0

Composite 8.4/10 (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 rating0.02−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time515ms−72ms

first ⅓ avg 587ms → last ⅓ avg 515ms

Headshot accuracy28.1%−3.9%

first ⅓ avg 32.0% → last ⅓ avg 28.1%

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

0.19Best match rating · 13–4 · dust2, 29 Aug →

59%Best headshot accuracy · 13–3 · mirage, 29 Jul →

289msFastest reaction time · 3–9 · inferno, 10 Aug →

13–2Biggest win · mirage, 13 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W3Current streak

12–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 71% over 14infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	32	21–11	66%	0.04
mirage	S	28	19–9	68%	0.03
anubis	S	14	10–4	71%	0.02
inferno	D	12	4–8	33%	-0.01
nuke	A	7	4–3	57%	0.02
vertigo	—	3	2–1	67%	0.07
ancient	—	2	2–0	100%	-0.00
cache	—	1	0–1	0%	-0.02
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

376Matches

55%Win rate

1.22Avg K/D

83.3ADR

60%Headshot %

Clutches & streaks

38%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	123	54%	1.20	17.7
Dust2	95	61%	1.37	18.4
Anubis	58	55%	1.10	16.6
Inferno	33	58%	1.24	18.4
Ancient	31	48%	1.07	16.2
Nuke	27	48%	1.17	18.5
Overpass	6	33%	0.98	15.2
Cache	2	50%	0.92	13.5

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.

27.7%Headshot accuracy

37.0%Accuracy (enemy spotted)

39.7%Spray accuracy

90.1%Counter-strafing

9.6°Preaim

525msReaction time

47.5%T opening success

49.8%CT opening success

0.61Enemies flashed / flash

10.3%Flash assists

8.77HE damage / grenade

12.23Flashes / match

Recommended for you

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.

33% 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
dust2	13–5	0.04	27%	9 Sept →
dust2	13–11	0.11	40%	9 Sept →
anubis	19–17	0.02	20%	9 Sept →
mirage	10–13	0.04	32%	8 Sept →
inferno	8–8	0.01	40%	8 Sept →
inferno	13–8	0.06	33%	7 Sept →
anubis	13–11	-0.00	21%	6 Sept →
mirage	5–13	0.01	40%	6 Sept →
anubis	10–13	-0.06	20%	6 Sept →
inferno	12–12	0.06	32%	5 Sept →
dust2	13–11	0.08	30%	3 Sept →
dust2	13–4	0.19	32%	29 Aug →
mirage	13–5	-0.03	39%	28 Aug →
mirage	13–9	-0.03	7%	27 Aug →
ancient	13–6	-0.06	17%	26 Aug →
dust2	8–13	-0.01	44%	26 Aug →
nuke	11–13	0.05	15%	24 Aug →
mirage	13–8	-0.03	29%	24 Aug →
mirage	10–13	0.04	40%	22 Aug →
mirage	13–9	0.00	34%	20 Aug →
mirage	13–9	0.03	27%	19 Aug →
dust2	13–6	0.06	25%	18 Aug →
nuke	14–16	0.02	16%	18 Aug →
dust2	13–10	-0.03	17%	17 Aug →
mirage	12–16	-0.00	22%	14 Aug →
nuke	13–8	-0.00	37%	13 Aug →
anubis	13–11	0.06	33%	13 Aug →
mirage	13–7	-0.03	22%	13 Aug →
anubis	13–10	0.03	25%	12 Aug →
dust2	11–13	-0.01	30%	11 Aug →
nuke	13–16	-0.02	37%	11 Aug →
dust2	13–9	0.17	32%	11 Aug →
inferno	3–9	-0.17	11%	10 Aug →
vertigo	9–6	0.03	58%	10 Aug →
mirage	13–11	-0.01	29%	9 Aug →
inferno	11–13	-0.03	39%	9 Aug →
dust2	13–7	0.05	38%	9 Aug →
anubis	13–5	0.03	26%	7 Aug →
anubis	5–13	-0.03	36%	7 Aug →
cache	6–13	-0.02	27%	6 Aug →
inferno	13–8	0.03	28%	3 Aug →
dust2	13–9	0.04	24%	3 Aug →
inferno	2–7	-0.07	20%	3 Aug →
dust2	16–12	0.04	30%	1 Aug →
mirage	10–13	0.03	39%	1 Aug →
dust2	19–17	0.01	35%	1 Aug →
mirage	13–4	0.07	46%	1 Aug →
anubis	13–6	0.13	23%	1 Aug →
dust2	13–8	0.03	18%	1 Aug →
dust2	13–10	0.06	48%	31 Jul →
mirage	13–10	0.01	32%	30 Jul →
dust2	13–11	-0.01	24%	30 Jul →
mirage	13–3	0.05	59%	29 Jul →
dust2	11–13	-0.10	23%	15 Jul →
ancient	13–7	0.06	27%	15 Jul →
mirage	13–8	0.06	32%	15 Jul →
mirage	13–2	0.01	27%	13 Jul →
mirage	13–8	0.03	37%	13 Jul →
mirage	13–11	0.05	26%	13 Jul →
mirage	13–6	0.11	33%	13 Jul →
dust2	13–10	0.05	26%	10 Jul →
inferno	11–13	0.03	34%	10 Jul →
dust2	13–5	0.11	38%	10 Jul →
anubis	13–7	-0.06	47%	7 Jul →
dust2	8–13	0.01	32%	7 Jul →
inferno	8–13	0.01	24%	7 Jul →
mirage	13–16	0.05	34%	5 Jul →
mirage	0–13	-0.04	0%	5 Jul →
dust2	11–13	0.08	43%	5 Jul →
nuke	13–7	0.03	40%	3 Jul →
mirage	9–13	0.02	35%	3 Jul →
inferno	13–10	-0.05	32%	2 Jul →
dust2	13–16	0.06	28%	1 Jul →
dust2	2–13	-0.02	43%	23 Jun →
anubis	10–13	-0.03	17%	23 Jun →
mirage	13–7	0.08	26%	22 Jun →
mirage	11–13	0.00	31%	21 Jun →
anubis	8–13	-0.04	25%	21 Jun →
dust2	13–10	0.09	30%	20 Jun →
vertigo	12–12	0.13	44%	19 Jun →
inferno	13–11	0.01	44%	18 Jun →
inferno	10–13	0.00	39%	18 Jun →
dust2	8–13	-0.01	30%	16 Jun →
dust2	5–13	0.08	50%	15 Jun →
overpass	10–13	-0.03	26%	14 Jun →
nuke	13–11	-0.03	33%	13 Jun →
dust2	13–2	0.10	27%	13 Jun →
mirage	13–7	0.17	51%	13 Jun →
dust2	7–13	-0.03	46%	13 Jun →
mirage	13–4	0.10	24%	10 Jun →
anubis	13–8	-0.02	34%	10 Jun →
anubis	13–2	0.18	38%	9 Jun →
vertigo	13–10	0.04	41%	9 Jun →
dust2	11–13	0.03	30%	8 Jun →
dust2	13–5	0.00	29%	7 Jun →
dust2	13–6	0.06	34%	7 Jun →
dust2	25–23	0.01	28%	6 Jun →
mirage	13–6	-0.03	32%	31 May →
anubis	13–9	0.09	16%	31 May →
nuke	13–7	0.07	9%	31 May →