Yashhhhhhh — CS2 Stats

CA76561198303277025[U:1:343011297]Steam profile ↗✓ No bans

2,227Tracked matches71%Win rate2020Tracked since

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating23,780Top 50% of 819 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

CSDB Leaderboard#3420 of 14966 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning69

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWLLLWWWWLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression10.0

Utility6.9

Positioning6.9

Opening Duels5.8

Clutch3.2

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like sh1ro 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower 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

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 67% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim7.8

Positioning6.9

Utility6.9

Mechanics4.7

Opening Duels5.8

Win Impact10.0

Composite 7.2/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time585ms−61ms

first ⅓ avg 646ms → last ⅓ avg 585ms

Headshot accuracy20.4%−1.4%

first ⅓ avg 21.8% → last ⅓ avg 20.4%

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.

Highlights

0.13Best rating — ancient 13–3

13–0Biggest win — mirage

7Longest win streak

5–12In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 72% over 18anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	28	17–11	61%	0.03
ancient	C	23	10–13	43%	0.01
mirage	A	21	13–8	62%	0.01
inferno	S	18	13–5	72%	0.02
anubis	D	6	2–4	33%	-0.02
nuke	—	3	0–3	0%	-0.01
cache	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,918Matches

50%Win rate

1.03Avg K/D

75.8ADR

44%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	371	54%	1.05	14.7
Inferno	265	52%	1.06	14.6
Ancient	208	50%	0.99	14.5
Dust2	197	51%	1.10	15.8
Nuke	83	48%	1.09	15.7
Anubis	28	18%	0.78	12.4
Overpass	17	59%	0.86	13.1
Train	4	0%	0.88	15.0

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.

21.3%Headshot accuracy

35.8%Accuracy (enemy spotted)

41.5%Spray accuracy

71.1%Counter-strafing

7.8°Preaim

577msReaction time

39.8%T opening success

66.8%CT opening success

0.60Enemies flashed / flash

9.7%Flash assists

11.88HE damage / grenade

13.23Flashes / 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 39.8415% — below the 40% mark we flag

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 6 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	13–10	0.02	20%	28 Aug →
ancient	3–13	-0.02	17%	27 Aug →
dust2	4–13	-0.08	7%	27 Aug →
ancient	14–16	-0.02	18%	27 Aug →
dust2	16–14	0.04	23%	26 Aug →
mirage	13–7	0.07	15%	26 Aug →
dust2	13–10	-0.01	16%	26 Aug →
inferno	13–5	0.11	22%	25 Aug →
mirage	11–13	-0.03	23%	25 Aug →
inferno	13–8	0.01	17%	25 Aug →
mirage	6–13	-0.07	12%	24 Aug →
ancient	13–7	0.12	21%	24 Aug →
nuke	6–13	-0.04	23%	22 Aug →
ancient	13–11	-0.04	26%	22 Aug →
inferno	16–13	0.07	25%	22 Aug →
dust2	13–11	0.04	28%	21 Aug →
dust2	14–16	0.09	16%	20 Aug →
ancient	16–13	-0.01	26%	19 Aug →
mirage	13–8	0.02	28%	19 Aug →
dust2	13–7	0.03	18%	19 Aug →
inferno	9–13	0.08	21%	18 Aug →
inferno	13–9	0.03	29%	18 Aug →
dust2	13–7	0.10	12%	18 Aug →
dust2	15–15	0.12	34%	17 Aug →
ancient	13–3	0.03	13%	17 Aug →
dust2	13–7	0.01	30%	16 Aug →
anubis	13–6	-0.06	28%	16 Aug →
nuke	12–12	0.05	21%	16 Aug →
mirage	13–4	0.10	16%	16 Aug →
dust2	13–3	-0.01	16%	15 Aug →
cache	11–13	-0.02	20%	15 Aug →
dust2	11–13	0.02	16%	11 Aug →
ancient	10–13	-0.00	16%	11 Aug →
anubis	6–13	-0.03	15%	10 Aug →
inferno	8–13	-0.04	20%	10 Aug →
nuke	3–13	-0.03	29%	10 Aug →
dust2	13–8	-0.00	11%	9 Aug →
anubis	5–13	-0.03	24%	9 Aug →
mirage	9–13	-0.00	14%	9 Aug →
mirage	2–13	-0.10	23%	9 Aug →
inferno	0–13	-0.12	26%	9 Aug →
ancient	6–13	-0.02	33%	9 Aug →
mirage	13–10	0.00	22%	9 Aug →
inferno	13–8	0.03	22%	8 Aug →
dust2	16–12	0.00	19%	8 Aug →
ancient	13–5	0.08	25%	8 Aug →
dust2	13–7	0.11	18%	8 Aug →
ancient	10–13	0.02	22%	8 Aug →
mirage	13–8	0.03	22%	8 Aug →
inferno	13–7	0.02	21%	7 Aug →
inferno	13–2	0.12	17%	7 Aug →
ancient	13–4	0.03	12%	7 Aug →
mirage	13–4	0.12	10%	6 Aug →
dust2	13–8	0.04	24%	6 Aug →
mirage	13–0	0.07	12%	6 Aug →
ancient	10–13	0.07	16%	5 Aug →
mirage	5–13	-0.04	14%	5 Aug →
inferno	13–5	0.04	23%	5 Aug →
dust2	13–2	0.01	29%	5 Aug →
mirage	13–5	-0.07	17%	4 Aug →
ancient	11–13	-0.00	24%	4 Aug →
dust2	13–7	0.05	35%	4 Aug →
ancient	13–10	-0.01	19%	3 Aug →
dust2	6–13	-0.06	13%	3 Aug →
mirage	9–13	-0.01	32%	3 Aug →
ancient	13–9	0.10	18%	3 Aug →
dust2	13–16	0.10	22%	2 Aug →
inferno	13–5	0.03	21%	2 Aug →
inferno	15–15	0.01	24%	2 Aug →
ancient	13–9	0.00	9%	1 Aug →
dust2	4–13	-0.05	19%	1 Aug →
mirage	15–15	0.01	28%	1 Aug →
dust2	13–2	0.01	38%	1 Aug →
dust2	10–13	-0.02	30%	1 Aug →
ancient	8–13	-0.04	38%	1 Aug →
inferno	10–2	0.04	24%	31 Jul →
mirage	13–11	0.02	19%	31 Jul →
inferno	13–10	0.01	19%	31 Jul →
dust2	13–10	0.04	18%	30 Jul →
mirage	13–3	0.08	24%	30 Jul →
inferno	11–13	-0.06	5%	30 Jul →
ancient	13–3	0.13	23%	29 Jul →
dust2	5–13	-0.01	28%	29 Jul →
anubis	13–11	-0.01	17%	29 Jul →
ancient	9–13	-0.05	24%	28 Jul →
mirage	14–16	-0.01	18%	28 Jul →
ancient	11–13	-0.03	15%	28 Jul →
mirage	13–6	0.05	17%	28 Jul →
dust2	13–6	0.07	24%	27 Jul →
inferno	13–3	0.04	25%	27 Jul →
dust2	11–13	-0.02	17%	26 Jul →
anubis	11–13	-0.01	26%	26 Jul →
ancient	10–13	-0.04	29%	26 Jul →
dust2	10–13	0.05	21%	26 Jul →
ancient	7–13	-0.02	19%	26 Jul →
mirage	13–1	0.04	4%	26 Jul →
inferno	13–6	0.03	38%	25 Jul →
ancient	1–13	0.00	21%	25 Jul →
anubis	11–13	0.03	22%	25 Jul →
dust2	13–8	0.04	15%	25 Jul →