☪︎ quinn :> — CS2 Stats

76561198403763911[U:1:443498183]✓ No bans

458Tracked matches62%Win rate2020Tracked since

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating8,853Light Blue band · top ~60.4% of ranked players (population est.)

WingmanSilver III

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning56

Utility57

0–100 skill scores via Leetify.

Recent form

HOT45–50–5Last 10045%Win rateLWLWTWWWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression7.5

Utility5.7

Positioning5.6

Opening Duels3.1

Excellent 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.

Your pro match

Plays most like b1t 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 698ms 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

Aim6.1

Positioning5.6

Utility5.7

Mechanics9.4

Opening Duels3.1

Win Impact9.0

Composite 5.8/10 (Solid), 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+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time712ms−34ms

first ⅓ avg 746ms → last ⅓ avg 712ms

Headshot accuracy16.6%−1.1%

first ⅓ avg 17.7% → last ⅓ avg 16.6%

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

0.14Best rating — cache 13–1

13–0Biggest win — dust2

6Longest win streak

3–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 69% over 13anubisWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	-0.01
cache	A	15	9–6	60%	-0.01
inferno	S	13	9–4	69%	0.00
anubis	D	12	4–8	33%	-0.01
ancient	D	12	4–8	33%	-0.03
dust2	A	9	5–4	56%	0.03
nuke	D	9	3–6	33%	-0.04
overpass	C	5	2–3	40%	-0.02
office	—	4	0–4	0%	-0.03
train	—	2	0–2	0%	0.00
alpine	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy

35.5%Accuracy (enemy spotted)

37.1%Spray accuracy

92.1%Counter-strafing

12.2°Preaim

698msReaction time

35.5%T opening success

49.5%CT opening success

0.63Enemies flashed / flash

5.5%Flash assists

7.73HE damage / grenade

9.26Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2274° — above the 12° mark we flag
Aim Training →

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 12 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
cache	11–13	-0.02	22%	26 Aug →
inferno	13–9	0.04	28%	25 Aug →
train	11–13	0.01	13%	9 Aug →
cache	13–9	-0.04	25%	8 Aug →
dust2	15–15	0.07	21%	4 Aug →
cache	13–5	-0.06	9%	4 Aug →
mirage	8–0	0.06	50%	2 Aug →
mirage	13–3	-0.09	17%	2 Aug →
mirage	13–5	0.05	12%	2 Aug →
dust2	13–5	-0.00	9%	28 Jul →
inferno	13–6	0.04	13%	28 Jul →
mirage	5–13	-0.02	10%	27 Jul →
dust2	10–13	-0.02	15%	27 Jul →
mirage	5–13	-0.07	18%	25 Jul →
cache	13–11	0.04	15%	25 Jul →
mirage	13–8	-0.03	16%	25 Jul →
dust2	13–0	0.10	14%	20 Jul →
cache	6–13	0.02	23%	20 Jul →
cache	13–1	0.14	17%	19 Jul →
anubis	7–13	-0.06	12%	19 Jul →
ancient	6–13	-0.05	6%	19 Jul →
cache	13–5	-0.03	19%	18 Jul →
mirage	13–5	-0.01	21%	16 Jul →
cache	13–16	-0.06	18%	15 Jul →
inferno	9–5	0.03	14%	15 Jul →
ancient	12–6	-0.06	19%	9 Jul →
cache	10–13	-0.04	11%	9 Jul →
mirage	13–0	0.05	8%	9 Jul →
office	1–13	-0.03	17%	6 Jul →
cache	13–6	-0.00	12%	6 Jul →
cache	13–7	0.02	15%	27 Jun →
cache	6–13	-0.00	23%	27 Jun →
dust2	13–6	0.03	8%	27 Jun →
anubis	4–13	-0.08	9%	26 Jun →
cache	13–2	0.08	15%	24 Jun →
ancient	10–13	-0.04	11%	24 Jun →
mirage	6–13	0.09	25%	23 Jun →
ancient	9–13	-0.04	12%	22 Jun →
mirage	14–16	-0.04	16%	22 Jun →
inferno	13–4	0.04	23%	20 Jun →
ancient	6–13	0.04	16%	20 Jun →
anubis	14–16	-0.01	15%	18 Jun →
dust2	9–13	-0.01	15%	17 Jun →
office	7–13	-0.05	33%	16 Jun →
ancient	4–13	-0.05	10%	14 Jun →
anubis	13–10	0.08	14%	14 Jun →
ancient	7–13	-0.04	32%	14 Jun →
nuke	6–13	-0.06	24%	14 Jun →
anubis	13–10	0.05	14%	14 Jun →
nuke	12–2	-0.03	7%	14 Jun →
anubis	13–1	0.07	12%	14 Jun →
ancient	13–8	-0.04	10%	13 Jun →
nuke	13–6	0.06	15%	13 Jun →
inferno	4–13	-0.07	3%	12 Jun →
nuke	13–3	-0.04	13%	12 Jun →
inferno	4–2	0.07	11%	12 Jun →
overpass	3–13	-0.11	0%	11 Jun →
anubis	11–13	-0.05	7%	11 Jun →
inferno	13–11	0.03	16%	11 Jun →
nuke	15–15	0.05	22%	11 Jun →
ancient	10–13	-0.01	20%	11 Jun →
ancient	13–7	0.07	13%	9 Jun →
mirage	6–13	-0.05	11%	9 Jun →
cache	13–8	-0.09	13%	9 Jun →
mirage	8–13	-0.04	20%	9 Jun →
anubis	10–13	-0.05	19%	8 Jun →
anubis	13–9	-0.04	13%	8 Jun →
dust2	13–10	0.03	20%	8 Jun →
nuke	3–13	-0.08	22%	8 Jun →
mirage	13–8	0.02	26%	7 Jun →
office	7–13	-0.03	32%	5 Jun →
inferno	13–6	0.01	13%	2 Jun →
mirage	15–15	-0.03	11%	2 Jun →
anubis	4–13	-0.01	31%	2 Jun →
nuke	9–13	-0.00	14%	2 Jun →
overpass	9–13	0.01	23%	2 Jun →
inferno	5–13	-0.02	18%	2 Jun →
alpine	12–12	0.04	10%	18 May →
office	6–13	0.01	22%	18 May →
cache	4–13	-0.07	13%	18 May →
dust2	12–4	-0.00	13%	18 May →
dust2	10–13	0.04	22%	2 Feb →
anubis	1–13	-0.03	10%	2 Feb →
mirage	6–13	0.03	14%	2 Feb →
anubis	12–12	-0.03	17%	25 Jan →
ancient	13–6	-0.06	18%	25 Jan →
ancient	6–13	-0.04	9%	21 Aug →
overpass	0–13	-0.06	10%	21 Aug →
inferno	13–0	0.02	8%	21 Aug →
train	10–13	-0.00	15%	17 Aug →
mirage	13–7	-0.03	37%	17 Aug →
nuke	3–9	-0.28	15%	17 Aug →
mirage	13–8	0.01	23%	10 Aug →
inferno	7–13	-0.10	9%	5 Aug →
nuke	6–13	0.00	27%	5 Aug →
overpass	16–13	0.05	14%	4 Aug →
mirage	11–13	-0.06	22%	2 Aug →
inferno	3–13	-0.03	24%	2 Aug →
overpass	13–7	0.00	17%	2 Aug →
inferno	13–9	-0.05	5%	2 Aug →