𝕾𝖏𝖊𝖋𝖊𝖓 — CS2 Stats

76561199379274718[U:1:1419008990]Steam profile ↗✓ No bans

916Tracked matches37%Win rate2022Tracked since

CSDB Rating6.4 SolidPositional Player

CSDB Leaderboard#76129 of 257761 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

+41Tracked matches · now 916

0.0ppWin rate · 36.7% → 36.7%

Rating over time

Premier CS Rating: 20,493 -64 3 Jul – 4 Sept · 14 days played

22,033Peak Premier in tracked matches

1,956Highest Faceit ELO seen on CSDB

38Days played since 2026-02-28

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

Aim94

Positioning62

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateLLLWLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.1pp headshot accuracy · +1ms reaction

Win rate 0pp 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 -0.01
Avg headshot accuracy 32%
Avg reaction 536ms

Last 10

4–6 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 29%
Avg reaction 531ms

Last 20

8–12 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 29%
Avg reaction 531ms

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 (+1.6 against its own average).

Aim9.4

Utility3.7

Positioning6.2

Opening Duels5.4

Clutch3.0

Sharp aimerLimited utility dependence

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 donk 83% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 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

Aim9.4

Positioning6.2

Utility3.7

Mechanics7.7

Opening Duels5.7

Win Impact0.6

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time523ms−34ms

first ⅓ avg 557ms → last ⅓ avg 523ms

Headshot accuracy27.4%+2.8%

first ⅓ avg 24.6% → last ⅓ avg 27.4%

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

0.17Best match rating · 13–11 · mirage, 8 Sept →

54%Best headshot accuracy · 5–13 · inferno, 15 Oct →

391msFastest reaction time · 3–13 · cache, 8 Aug →

13–0Biggest win · mirage, 14 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L3Current streak

8–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 67% over 9overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	28	11–17	39%	-0.00
anubis	C	17	7–10	41%	-0.00
ancient	B	11	5–6	45%	0.01
inferno	C	11	4–7	36%	0.00
nuke	S	9	6–3	67%	-0.00
cache	S	9	6–3	67%	0.00
dust2	D	7	2–5	29%	-0.00
overpass	D	5	1–4	20%	-0.04
vertigo	—	2	2–0	100%	-0.04
train	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

528Matches

52%Win rate

1.06Avg K/D

80.0ADR

49%Headshot %

Clutches & streaks

35%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	203	55%	1.06	16.3
Ancient	92	53%	1.03	16.0
Inferno	63	52%	1.02	15.9
Nuke	55	44%	0.99	16.0
Anubis	50	40%	1.19	17.9
Overpass	32	56%	1.10	14.2
Dust2	13	46%	0.98	16.4
Train	9	67%	1.14	14.1

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.

27.9%Headshot accuracy

36.9%Accuracy (enemy spotted)

42.5%Spray accuracy

84.7%Counter-strafing

6.9°Preaim

518msReaction time

46.4%T opening success

59.1%CT opening success

0.44Enemies flashed / flash

2.4%Flash assists

9.03HE damage / grenade

3.69Flashes / 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 0.4391 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	-0.04	23%	21 Oct →
inferno	5–13	0.01	54%	15 Oct →
mirage	3–13	0.06	35%	14 Oct →
nuke	13–10	0.00	25%	14 Oct →
mirage	4–13	-0.06	23%	17 Sept →
nuke	13–10	-0.03	13%	17 Sept →
mirage	4–13	-0.04	19%	16 Sept →
mirage	13–11	0.17	28%	8 Sept →
anubis	9–1	0.05	35%	8 Sept →
dust2	10–13	0.07	33%	13 Aug →
inferno	13–4	0.00	19%	13 Aug →
mirage	14–16	-0.01	23%	12 Aug →
mirage	9–13	-0.01	25%	12 Aug →
nuke	13–3	0.08	48%	11 Aug →
mirage	11–13	-0.03	27%	11 Aug →
mirage	16–14	-0.01	40%	11 Aug →
anubis	14–16	0.05	27%	9 Aug →
ancient	16–19	0.03	29%	9 Aug →
ancient	13–11	-0.03	23%	8 Aug →
cache	3–13	0.01	26%	8 Aug →
nuke	3–13	-0.09	29%	8 Aug →
anubis	10–13	0.01	30%	8 Aug →
anubis	13–7	-0.03	20%	5 Aug →
inferno	6–13	-0.01	19%	5 Aug →
ancient	1–13	-0.08	21%	3 Aug →
nuke	6–13	0.04	46%	29 Jul →
ancient	13–4	0.06	21%	29 Jul →
mirage	4–13	-0.06	25%	28 Jul →
mirage	13–9	-0.01	23%	26 Jul →
inferno	11–13	0.07	29%	26 Jul →
mirage	13–9	0.07	37%	26 Jul →
cache	13–9	-0.00	22%	26 Jul →
inferno	4–13	-0.07	3%	26 Jul →
vertigo	13–7	-0.06	32%	25 Jul →
overpass	7–13	-0.05	24%	24 Jul →
nuke	7–13	0.04	38%	24 Jul →
mirage	10–13	0.00	35%	23 Jul →
anubis	7–13	0.03	34%	23 Jul →
ancient	4–0	0.15	31%	23 Jul →
inferno	13–9	0.00	36%	23 Jul →
inferno	10–13	-0.04	24%	23 Jul →
mirage	6–13	-0.01	21%	23 Jul →
anubis	5–13	-0.07	17%	22 Jul →
inferno	9–13	0.04	28%	22 Jul →
anubis	8–13	-0.02	17%	21 Jul →
ancient	13–11	-0.02	27%	21 Jul →
mirage	9–13	-0.12	20%	21 Jul →
inferno	10–13	0.00	23%	20 Jul →
mirage	10–13	-0.04	24%	19 Jul →
dust2	3–13	-0.05	37%	19 Jul →
cache	13–6	-0.04	32%	19 Jul →
mirage	9–13	0.00	20%	18 Jul →
overpass	2–9	-0.06	13%	18 Jul →
mirage	9–13	-0.01	30%	18 Jul →
mirage	11–13	-0.07	21%	18 Jul →
ancient	13–2	-0.00	23%	18 Jul →
mirage	16–14	0.05	25%	18 Jul →
mirage	10–13	-0.02	13%	17 Jul →
cache	13–7	0.02	12%	16 Jul →
nuke	13–6	-0.02	18%	16 Jul →
mirage	6–13	-0.07	18%	16 Jul →
anubis	16–13	-0.03	17%	16 Jul →
cache	14–16	-0.03	25%	15 Jul →
nuke	13–6	0.01	21%	14 Jul →
anubis	13–1	0.07	38%	14 Jul →
mirage	13–0	0.04	34%	14 Jul →
dust2	13–6	0.05	16%	8 Jul →
anubis	11–13	-0.02	11%	7 Jul →
cache	6–13	0.02	32%	7 Jul →
inferno	13–11	0.05	33%	7 Jul →
dust2	11–13	-0.02	19%	7 Jul →
anubis	14–16	0.01	35%	6 Jul →
inferno	13–8	0.01	13%	6 Jul →
mirage	13–8	0.05	21%	6 Jul →
mirage	3–13	-0.03	19%	5 Jul →
train	12–12	0.05	37%	5 Jul →
anubis	13–9	0.03	19%	5 Jul →
anubis	2–13	-0.05	33%	4 Jul →
dust2	11–13	0.02	18%	4 Jul →
cache	13–8	-0.00	38%	4 Jul →
overpass	10–13	-0.04	24%	4 Jul →
mirage	13–10	0.01	23%	4 Jul →
ancient	8–13	0.06	27%	4 Jul →
mirage	13–9	0.01	30%	4 Jul →
anubis	13–9	0.05	24%	3 Jul →
cache	13–7	0.05	17%	3 Jul →
nuke	13–10	-0.03	20%	3 Jul →
dust2	3–7	-0.05	33%	3 Jul →
ancient	7–13	-0.05	12%	3 Jul →
overpass	13–3	-0.04	19%	3 Jul →
mirage	13–8	0.08	36%	2 Jul →
anubis	13–4	-0.02	36%	2 Jul →
cache	13–11	-0.00	32%	2 Jul →
mirage	13–8	0.02	25%	22 Mar →
ancient	13–16	0.01	19%	21 Mar →
anubis	6–13	-0.05	28%	21 Mar →
vertigo	13–5	-0.02	33%	21 Mar →
overpass	3–13	-0.02	20%	28 Feb →
anubis	7–13	-0.03	14%	28 Feb →
dust2	13–11	-0.04	11%	28 Feb →