wink — CS2 Stats

76561198081938014[U:1:121672286]Steam profile ↗

2,552Tracked matches38%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating24,770Top 50% of 819 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#3210 of 19236 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning68

Utility43

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateLLLWWLWLLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim8.8

Aggression10.0

Utility4.3

Positioning6.8

Opening Duels5.6

Clutch2.6

Sharp aimer

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 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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 88 — the mechanical foundation is a clear strength.

Areas to improve

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

Aim8.8

Positioning6.8

Utility4.3

Mechanics6.9

Opening Duels5.6

Win Impact1.0

Composite 6.5/10 (Solid), 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+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time537ms−56ms

first ⅓ avg 593ms → last ⅓ avg 537ms

Headshot accuracy23.4%+3.9%

first ⅓ avg 19.5% → last ⅓ avg 23.4%

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

0.16Best rating — mirage 13–3

13–1Biggest win — vertigo

4Longest win streak

L3Current streak

8–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 67% over 12anubisWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	14–12	54%	0.03
ancient	C	15	6–9	40%	0.02
cache	C	15	6–9	40%	0.02
anubis	C	14	5–9	36%	0.04
nuke	S	12	8–4	67%	0.03
dust2	C	8	3–5	38%	0.01
inferno	C	5	2–3	40%	0.02
overpass	—	3	3–0	100%	0.09
vertigo	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,129Matches

50%Win rate

1.26Avg K/D

95.7ADR

41%Headshot %

Clutches & streaks

33%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	74	53%	1.21	17.9
Anubis	46	48%	1.24	20.1
Vertigo	35	57%	1.34	21.2
Dust2	30	57%	1.23	19.1
Ancient	28	57%	1.31	20.0
Nuke	23	43%	1.27	18.6
Inferno	16	44%	1.07	19.2
Train	4	50%	1.53	22.0

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.

23.3%Headshot accuracy

36.5%Accuracy (enemy spotted)

38.6%Spray accuracy

81.0%Counter-strafing

7.3°Preaim

540msReaction time

47.9%T opening success

56.8%CT opening success

0.49Enemies flashed / flash

0.6%Flash assists

11.99HE damage / grenade

6.53Flashes / 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 0.4932 — below the 0.5 mark we flag
Grenade Lineups →

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.

36% win rate across 14 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
ancient	2–13	-0.00	25%	28 Aug →
cache	7–13	-0.02	17%	28 Aug →
inferno	7–13	0.03	30%	27 Aug →
nuke	13–9	0.02	40%	27 Aug →
ancient	13–8	0.08	38%	26 Aug →
mirage	10–13	0.09	30%	26 Aug →
mirage	13–10	0.05	16%	25 Aug →
ancient	4–13	0.03	19%	20 Aug →
ancient	6–13	0.04	20%	20 Aug →
anubis	6–13	-0.03	28%	19 Aug →
nuke	13–7	0.06	29%	19 Aug →
ancient	6–13	0.03	23%	18 Aug →
anubis	7–13	0.02	23%	17 Aug →
inferno	11–13	-0.07	19%	16 Aug →
mirage	3–13	-0.08	25%	16 Aug →
dust2	13–11	-0.00	21%	16 Aug →
cache	11–13	0.01	22%	15 Aug →
mirage	5–13	-0.02	15%	15 Aug →
overpass	13–6	0.10	32%	14 Aug →
anubis	11–13	0.07	16%	13 Aug →
vertigo	13–1	0.09	29%	12 Aug →
mirage	13–11	0.01	21%	6 Aug →
nuke	13–9	0.11	19%	5 Aug →
mirage	9–13	0.05	36%	5 Aug →
cache	13–9	0.08	23%	4 Aug →
inferno	13–11	0.03	14%	3 Aug →
cache	8–13	0.01	16%	3 Aug →
ancient	11–13	-0.02	23%	2 Aug →
dust2	7–13	-0.03	19%	1 Aug →
cache	15–15	-0.03	18%	1 Aug →
mirage	13–9	-0.01	22%	1 Aug →
ancient	13–3	-0.02	9%	1 Aug →
nuke	13–8	0.01	37%	1 Aug →
anubis	16–13	0.04	9%	1 Aug →
ancient	7–13	0.06	24%	31 Jul →
nuke	13–9	0.02	18%	31 Jul →
mirage	13–3	0.14	26%	31 Jul →
cache	10–13	0.02	17%	31 Jul →
inferno	13–7	0.04	9%	31 Jul →
ancient	13–5	-0.00	9%	31 Jul →
mirage	13–11	0.05	29%	30 Jul →
dust2	10–13	0.03	28%	30 Jul →
cache	13–6	0.10	19%	30 Jul →
mirage	9–13	0.02	14%	30 Jul →
ancient	13–4	-0.00	20%	30 Jul →
mirage	13–3	0.16	29%	30 Jul →
nuke	13–16	0.00	15%	30 Jul →
ancient	13–5	0.02	23%	30 Jul →
dust2	13–11	0.07	23%	30 Jul →
cache	13–7	0.05	20%	30 Jul →
inferno	15–15	0.06	16%	28 Jul →
ancient	7–13	0.02	25%	28 Jul →
anubis	8–13	0.01	21%	24 Jul →
cache	11–13	-0.00	13%	24 Jul →
anubis	15–15	0.07	25%	23 Jul →
nuke	13–16	0.11	16%	23 Jul →
mirage	10–13	-0.04	20%	21 Jul →
ancient	13–6	0.12	13%	16 Jul →
dust2	10–13	0.11	26%	16 Jul →
mirage	13–9	-0.02	14%	15 Jul →
cache	13–10	0.01	28%	15 Jul →
anubis	13–5	0.15	33%	14 Jul →
dust2	2–13	-0.06	17%	14 Jul →
mirage	13–7	0.00	16%	14 Jul →
nuke	8–13	-0.04	37%	13 Jul →
anubis	11–13	-0.05	16%	13 Jul →
cache	13–7	0.03	16%	13 Jul →
nuke	13–5	0.11	25%	12 Jul →
mirage	13–2	0.03	29%	12 Jul →
anubis	13–6	0.02	22%	12 Jul →
cache	4–13	-0.03	23%	11 Jul →
mirage	6–13	0.01	16%	11 Jul →
cache	7–13	-0.05	20%	11 Jul →
cache	15–15	-0.02	16%	10 Jul →
nuke	16–14	-0.07	7%	9 Jul →
mirage	13–9	0.04	21%	9 Jul →
anubis	13–10	0.09	15%	8 Jul →
nuke	10–4	0.02	36%	7 Jul →
vertigo	4–13	-0.02	18%	6 Jul →
ancient	9–13	-0.02	16%	5 Jul →
mirage	10–13	0.03	21%	4 Jul →
anubis	14–16	0.04	21%	4 Jul →
mirage	2–13	-0.09	25%	3 Jul →
cache	13–11	0.12	18%	28 Jun →
overpass	13–10	0.07	11%	28 Jun →
mirage	13–8	0.03	16%	24 Jun →
mirage	6–13	0.01	15%	23 Jun →
mirage	6–13	-0.03	24%	21 Jun →
dust2	13–6	0.04	13%	20 Jun →
mirage	13–8	0.11	20%	20 Jun →
nuke	8–13	-0.03	14%	20 Jun →
mirage	13–6	0.04	16%	18 Jun →
dust2	2–13	-0.07	13%	18 Jun →
anubis	7–13	0.03	20%	18 Jun →
anubis	13–5	0.04	26%	17 Jun →
overpass	13–6	0.09	16%	17 Jun →
mirage	11–13	0.04	21%	17 Jun →
ancient	15–15	-0.03	25%	17 Jun →
anubis	9–13	0.04	27%	17 Jun →
mirage	13–11	0.02	18%	16 Jun →