𝓦 — CS2 Stats

76561198376790818[U:1:416525090]Steam profile ↗✓ No bans

1,465Tracked matches43%Win rate2020Tracked since

CSDB Rating4.3 DevelopingPositional Player

Premier CS Rating6,925Light Blue band · top ~69.6% of ranked players (population est.)

CSDB Leaderboard#172274 of 227861 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSilver Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (8 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. 20 days played since 18 Aug 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: 6,925 -2,491 19 Aug – 11 Sept · 16 days played

10,108Peak Premier in tracked matches

20Days played since 2026-08-18

Premier CS Rating

3,074 below peak (9,999)
-2,491 over 30 days · declining
Next: Blue band at 10,000 — 3,075 to go
Reached: Light Blue band
Light Blue band first seen 2026-09-01

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

Aim59

Positioning54

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWLLLLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +3.4pp headshot accuracy · −3ms reaction

Win rate up 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 0.01
Avg headshot accuracy 12%
Avg reaction 547ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 14%
Avg reaction 543ms

Last 20

7–13 · 35% win rate
Avg rating 0.01
Avg headshot accuracy 12%
Avg reaction 544ms

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 against its own average).

Aim5.9

Utility3.8

Positioning5.4

Opening Duels2.9

Clutch1.4

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 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim5.9

Positioning5.4

Utility3.8

Mechanics4.9

Opening Duels3.0

Win Impact2.8

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time549ms−20ms

first ⅓ avg 568ms → last ⅓ avg 549ms

Headshot accuracy12.1%−1.3%

first ⅓ avg 13.4% → last ⅓ avg 12.1%

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

0.08Best match rating · 14–16 · cache, 19 Aug →

22%Best headshot accuracy · 14–16 · inferno, 31 Aug →

422msFastest reaction time · 9–13 · inferno, 11 Sept →

13–2Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

8–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 57% over 7infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	21	8–13	38%	-0.01
cache	B	19	9–10	47%	0.01
dust2	B	17	9–8	53%	-0.01
inferno	D	14	4–10	29%	-0.02
ancient	A	11	6–5	55%	0.01
nuke	C	9	4–5	44%	0.02
anubis	A	7	4–3	57%	-0.01
vertigo	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches

43%Win rate

0.74Avg K/D

68.9ADR

34%Headshot %

Clutches & streaks

27%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	62%	0.67	10.5
Inferno	5	40%	0.82	15.6
Nuke	4	25%	0.85	15.8
Cache	4	0%	0.63	11.3
Vertigo	3	67%	0.69	9.7
Dust2	2	50%	0.93	16.5
Anubis	2	0%	0.69	13.0
Ancient	2	50%	0.90	13.0

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.

11.5%Headshot accuracy

34.9%Accuracy (enemy spotted)

37.3%Spray accuracy

72.0%Counter-strafing

9.9°Preaim

546msReaction time

38.9%T opening success

44.7%CT opening success

0.58Enemies flashed / flash

3.4%Flash assists

4.07HE damage / grenade

6.63Flashes / 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 11.5065% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.9435% — below the 40% mark we flag

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.

29% win rate across 14 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	13–2	0.05	20%	16 Sept →
mirage	9–13	0.04	17%	11 Sept →
inferno	5–13	-0.08	0%	11 Sept →
mirage	5–13	-0.01	13%	11 Sept →
inferno	9–13	0.04	10%	11 Sept →
ancient	13–8	0.00	14%	11 Sept →
dust2	13–10	0.05	18%	11 Sept →
vertigo	11–13	0.04	11%	8 Sept →
mirage	13–6	0.04	10%	8 Sept →
nuke	13–11	0.02	21%	8 Sept →
nuke	8–13	0.01	10%	8 Sept →
nuke	6–13	0.02	14%	8 Sept →
inferno	13–6	-0.01	15%	8 Sept →
anubis	13–9	0.03	13%	6 Sept →
mirage	7–13	-0.02	6%	6 Sept →
cache	11–13	0.02	9%	5 Sept →
inferno	11–13	-0.02	5%	4 Sept →
anubis	13–16	-0.04	10%	4 Sept →
inferno	11–13	-0.03	11%	4 Sept →
cache	8–13	-0.01	10%	4 Sept →
inferno	13–6	0.00	13%	4 Sept →
dust2	9–13	-0.06	21%	4 Sept →
anubis	13–7	0.03	5%	3 Sept →
dust2	5–13	0.01	6%	3 Sept →
ancient	13–6	-0.02	11%	3 Sept →
dust2	13–11	0.01	10%	3 Sept →
mirage	8–13	-0.01	13%	3 Sept →
ancient	13–8	-0.00	19%	2 Sept →
dust2	8–13	-0.02	2%	2 Sept →
cache	13–4	0.03	7%	2 Sept →
mirage	13–7	0.01	20%	2 Sept →
cache	16–14	-0.01	20%	1 Sept →
inferno	13–11	0.04	16%	1 Sept →
anubis	11–13	-0.02	18%	1 Sept →
ancient	7–13	-0.04	7%	1 Sept →
cache	13–4	0.01	16%	1 Sept →
inferno	5–13	-0.02	6%	1 Sept →
ancient	10–13	0.02	8%	1 Sept →
ancient	13–6	0.06	11%	1 Sept →
dust2	14–16	-0.02	16%	1 Sept →
cache	6–1	0.05	0%	1 Sept →
dust2	13–3	-0.02	14%	31 Aug →
mirage	8–13	-0.05	10%	31 Aug →
mirage	10–13	-0.04	15%	31 Aug →
inferno	14–16	-0.08	22%	31 Aug →
cache	10–13	-0.02	14%	31 Aug →
dust2	13–11	0.02	18%	31 Aug →
ancient	13–8	0.07	20%	28 Aug →
inferno	5–13	0.01	10%	28 Aug →
mirage	5–13	-0.03	8%	28 Aug →
mirage	15–15	0.02	19%	28 Aug →
nuke	13–2	0.01	7%	28 Aug →
mirage	13–3	-0.06	6%	28 Aug →
cache	9–13	-0.03	8%	28 Aug →
dust2	10–13	-0.05	17%	28 Aug →
dust2	13–6	-0.06	5%	28 Aug →
inferno	5–13	-0.04	16%	27 Aug →
mirage	8–13	-0.01	12%	27 Aug →
mirage	1–13	-0.07	9%	27 Aug →
cache	10–13	0.05	7%	27 Aug →
inferno	0–7	-0.06	11%	27 Aug →
mirage	16–13	0.01	21%	27 Aug →
cache	4–13	-0.12	7%	27 Aug →
nuke	13–8	0.08	10%	26 Aug →
ancient	13–10	0.03	20%	26 Aug →
cache	13–6	0.04	12%	26 Aug →
dust2	11–13	-0.03	12%	26 Aug →
anubis	13–11	-0.07	5%	26 Aug →
mirage	9–13	-0.04	18%	26 Aug →
mirage	13–8	0.03	3%	26 Aug →
nuke	13–9	0.06	17%	25 Aug →
dust2	16–12	-0.01	11%	23 Aug →
mirage	16–13	0.02	19%	23 Aug →
cache	13–9	-0.02	13%	23 Aug →
vertigo	13–9	-0.02	15%	22 Aug →
mirage	12–16	-0.05	15%	21 Aug →
dust2	13–5	-0.01	19%	21 Aug →
ancient	10–13	0.01	11%	21 Aug →
inferno	10–13	0.01	12%	21 Aug →
nuke	9–13	0.02	12%	21 Aug →
dust2	13–11	0.01	12%	21 Aug →
cache	13–8	0.05	18%	21 Aug →
cache	11–13	0.01	15%	21 Aug →
dust2	2–13	0.04	15%	21 Aug →
cache	16–13	0.03	17%	20 Aug →
mirage	13–8	0.06	20%	20 Aug →
ancient	7–13	-0.01	12%	20 Aug →
cache	6–13	0.04	18%	20 Aug →
dust2	12–12	-0.01	12%	20 Aug →
nuke	11–13	-0.04	10%	19 Aug →
cache	13–5	0.00	13%	19 Aug →
anubis	13–9	-0.01	14%	19 Aug →
cache	14–16	0.08	11%	19 Aug →
nuke	3–13	-0.04	14%	19 Aug →
inferno	16–12	0.02	14%	19 Aug →
mirage	10–13	0.02	14%	19 Aug →
ancient	6–13	-0.01	16%	19 Aug →
cache	3–13	-0.07	12%	19 Aug →
anubis	9–13	0.01	7%	19 Aug →
mirage	13–11	-0.03	9%	18 Aug →