🕷 — CS2 Stats

BR76561198953165160[U:1:992899432]Steam profile ↗1 game ban

910Tracked matches50%Win rate2020Tracked since

CSDB Rating7.0 StrongPositional Player

Premier CS Rating20,710Top 50% of 200,982 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)

CSDB Leaderboard#69813 of 247928 tracked

FaceitLevel 10Top 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 17 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 910 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,710 -6,637 23 Jun – 17 Sept · 11 days played

27,347Peak Premier in tracked matches

35Days played since 2026-06-23

Premier CS Rating

6,637 below peak (27,347)
0 over 30 days · steady
-6,637 over 90 days
Next: Red band at 25,000 — 4,290 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-08-31
Purple band first seen 2026-08-31

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

Aim85

Positioning62

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWLWLWLWWLL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −2.7pp headshot accuracy · −13ms 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

3–2 · 60% win rate
Avg rating 0.06
Avg headshot accuracy 28%
Avg reaction 584ms

Last 10

5–5 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 27%
Avg reaction 650ms

Last 20

10–10 · 50% win rate
Avg rating 0.05
Avg headshot accuracy 29%
Avg reaction 656ms

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).

Aim8.5

Utility5.9

Positioning6.2

Opening Duels3.0

Clutch3.4

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 sh1ro 92% playstyle similarity

Most alike: utility contribution, positioning 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

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 622ms 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

Aim8.5

Positioning6.2

Utility5.9

Mechanics9.5

Opening Duels2.3

Win Impact5.0

Composite 7.0/10 (Strong), 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 rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time619ms−16ms

first ⅓ avg 635ms → last ⅓ avg 619ms

Headshot accuracy27.9%−2.0%

first ⅓ avg 29.9% → last ⅓ avg 27.9%

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

0.32Best match rating · 13–3 · cache, 18 Jul →

100%Best headshot accuracy · 0–9 · inferno, 10 Jul →

242msFastest reaction time · 0–9 · inferno, 10 Jul →

13–1Biggest win · mirage, 11 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak

6–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 60% over 5mirageWeakest map · 38% over 24

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	28	11–17	39%	0.01
mirage	C	24	9–15	38%	0.01
inferno	A	20	11–9	55%	0.00
cache	B	8	4–4	50%	0.05
vertigo	C	5	2–3	40%	0.03
anubis	A	5	3–2	60%	-0.00
office	—	3	0–3	0%	0.01
nuke	—	2	2–0	100%	0.09
shelter	—	1	0–1	0%	0.04
ancient	—	1	0–1	0%	0.02
poseidon	—	1	0–1	0%	-0.18
boulder	—	1	0–1	0%	0.01
overpass	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

538Matches

53%Win rate

1.22Avg K/D

88.4ADR

61%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	159	53%	1.24	17.9
Dust2	115	57%	1.24	17.4
Inferno	88	51%	1.28	18.6
Anubis	42	57%	1.33	18.1
Nuke	28	46%	1.15	17.1
Cache	21	52%	1.10	17.1
Ancient	19	53%	1.21	19.4
Vertigo	17	53%	1.43	21.9

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.

27.5%Headshot accuracy

34.8%Accuracy (enemy spotted)

35.9%Spray accuracy

92.9%Counter-strafing

9.5°Preaim

622msReaction time

34.6%T opening success

43.5%CT opening success

0.56Enemies flashed / flash

5.6%Flash assists

10.89HE damage / grenade

7.38Flashes / 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.

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 34.6247% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.07	41%	24 Aug →
inferno	10–13	-0.01	18%	17 Aug →
dust2	13–10	0.08	26%	17 Aug →
mirage	9–13	0.10	28%	16 Aug →
dust2	13–7	0.05	27%	15 Aug →
cache	3–13	-0.06	15%	6 Aug →
dust2	13–11	0.03	30%	5 Aug →
vertigo	13–8	0.08	28%	5 Aug →
dust2	1–13	-0.04	27%	29 Jul →
dust2	10–13	-0.05	33%	28 Jul →
mirage	0–13	-0.04	21%	27 Jul →
dust2	9–13	0.02	37%	26 Jul →
mirage	7–13	0.02	37%	26 Jul →
inferno	6–13	0.04	25%	25 Jul →
mirage	13–9	-0.03	28%	21 Jul →
mirage	13–11	0.04	24%	19 Jul →
nuke	13–6	0.14	35%	18 Jul →
vertigo	13–7	0.13	26%	18 Jul →
cache	13–3	0.32	37%	18 Jul →
shelter	4–13	0.04	31%	17 Jul →
anubis	13–11	0.00	24%	16 Jul →
mirage	9–13	0.01	23%	16 Jul →
cache	13–3	0.09	22%	16 Jul →
inferno	13–4	0.02	24%	16 Jul →
ancient	13–16	0.02	23%	16 Jul →
dust2	13–9	0.06	23%	16 Jul →
mirage	7–13	0.06	30%	16 Jul →
inferno	8–13	0.08	26%	15 Jul →
dust2	13–6	0.12	31%	15 Jul →
dust2	9–13	0.06	23%	14 Jul →
dust2	2–5	-0.05	38%	14 Jul →
dust2	5–13	0.01	50%	14 Jul →
office	6–13	0.03	11%	13 Jul →
office	5–13	0.03	21%	13 Jul →
inferno	8–13	0.05	23%	11 Jul →
mirage	13–1	0.04	22%	11 Jul →
inferno	0–9	-0.27	100%	10 Jul →
poseidon	1–9	-0.18	20%	10 Jul →
vertigo	1–9	-0.06	71%	10 Jul →
inferno	8–8	-0.04	26%	10 Jul →
inferno	9–1	0.15	22%	10 Jul →
dust2	6–13	-0.02	16%	10 Jul →
office	12–12	-0.02	24%	10 Jul →
cache	12–12	0.02	22%	10 Jul →
dust2	13–6	0.09	42%	10 Jul →
dust2	13–10	0.03	33%	9 Jul →
inferno	9–13	-0.04	25%	9 Jul →
dust2	2–13	-0.04	41%	9 Jul →
mirage	13–5	-0.03	30%	9 Jul →
mirage	13–4	-0.00	20%	9 Jul →
boulder	6–13	0.01	22%	9 Jul →
vertigo	0–7	0.05	33%	8 Jul →
dust2	11–13	-0.04	28%	8 Jul →
dust2	13–11	-0.02	20%	8 Jul →
dust2	11–13	-0.02	30%	8 Jul →
dust2	9–13	0.02	34%	8 Jul →
anubis	16–12	-0.02	20%	6 Jul →
dust2	2–12	-0.08	30%	6 Jul →
mirage	14–16	0.03	27%	6 Jul →
inferno	12–16	-0.02	18%	6 Jul →
dust2	4–13	-0.01	38%	6 Jul →
anubis	9–13	-0.00	19%	6 Jul →
cache	6–13	0.00	27%	6 Jul →
mirage	11–13	0.02	23%	6 Jul →
mirage	10–13	-0.02	27%	5 Jul →
inferno	9–13	-0.02	28%	5 Jul →
mirage	5–13	-0.04	28%	5 Jul →
inferno	13–6	0.08	31%	5 Jul →
inferno	13–8	-0.05	20%	4 Jul →
cache	9–13	0.02	27%	3 Jul →
anubis	14–16	-0.00	28%	3 Jul →
dust2	8–13	-0.02	27%	3 Jul →
nuke	13–1	0.04	24%	1 Jul →
inferno	13–1	-0.01	36%	1 Jul →
dust2	13–3	0.01	41%	1 Jul →
mirage	5–13	-0.03	30%	1 Jul →
inferno	13–11	0.05	28%	30 Jun →
mirage	3–13	0.04	21%	30 Jun →
vertigo	1–9	-0.03	24%	29 Jun →
dust2	12–12	0.07	40%	29 Jun →
inferno	13–8	0.01	24%	28 Jun →
mirage	13–11	0.05	30%	28 Jun →
dust2	7–13	0.05	48%	28 Jun →
dust2	11–13	-0.08	17%	28 Jun →
mirage	11–13	0.02	38%	27 Jun →
cache	13–10	0.02	21%	27 Jun →
inferno	13–8	-0.06	22%	26 Jun →
mirage	13–9	0.06	40%	26 Jun →
mirage	13–8	-0.01	17%	26 Jun →
dust2	13–8	0.02	41%	26 Jun →
overpass	13–9	0.09	14%	26 Jun →
cache	13–7	-0.01	21%	26 Jun →
mirage	11–13	-0.03	33%	25 Jun →
mirage	10–13	-0.05	50%	25 Jun →
mirage	10–13	-0.03	36%	25 Jun →
inferno	13–7	0.05	48%	25 Jun →
mirage	13–2	0.11	25%	25 Jun →
anubis	13–10	-0.01	31%	23 Jun →
dust2	13–7	0.10	26%	23 Jun →
inferno	13–9	-0.03	29%	23 Jun →