toon — CS2 Stats

76561198022683709[U:1:62417981]

510Tracked matches61%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating23,527Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)

CSDB Leaderboard#6098 of 28870 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning61

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY59–34–7Last 10059%Win rateLWWTWWLLWW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

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

Aim9.2

Aggression9.3

Utility5.0

Positioning6.1

Opening Duels4.3

Clutch2.6

Sharp aimerStrong 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 94% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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 92 — 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.

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.2

Positioning6.1

Utility5.0

Mechanics8.3

Opening Duels4.3

Win Impact8.6

Composite 7.4/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time524ms−92ms

first ⅓ avg 616ms → last ⅓ avg 524ms

Headshot accuracy24.8%+0.9%

first ⅓ avg 23.8% → last ⅓ avg 24.8%

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

0.23Best rating — mirage 13–2

13–1Biggest win — train

6Longest win streak

6–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 80% over 5anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	28	15–13	54%	0.03
dust2	S	18	13–5	72%	0.04
nuke	B	12	6–6	50%	0.03
ancient	S	8	6–2	75%	0.07
inferno	A	7	4–3	57%	0.03
cache	S	5	4–1	80%	0.04
anubis	C	5	2–3	40%	0.01
train	C	5	2–3	40%	0.05
vertigo	—	4	2–2	50%	0.06
office	—	3	1–2	33%	0.02
overpass	—	2	1–1	50%	0.07
alpine	—	1	1–0	100%	0.06
palacio	—	1	1–0	100%	0.11
edin	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

151Matches

54%Win rate

1.27Avg K/D

96.6ADR

39%Headshot %

Clutches & streaks

33%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	2	50%	1.76	18.0
Anubis	2	100%	1.76	20.5
Nuke	1	100%	0.94	17.0
Dust2	1	0%	0.67	12.0
Mirage	1	100%	1.06	18.0

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.

24.5%Headshot accuracy

39.1%Accuracy (enemy spotted)

39.0%Spray accuracy

87.5%Counter-strafing

8.3°Preaim

512msReaction time

37.9%T opening success

56.5%CT opening success

0.56Enemies flashed / flash

9.0%Flash assists

8.69HE damage / grenade

7.83Flashes / 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 37.9406% — 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.

40% win rate across 5 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
dust2	9–13	-0.01	27%	21 Aug →
cache	13–5	0.00	26%	21 Aug →
ancient	13–8	0.05	24%	21 Aug →
cache	12–12	0.01	30%	19 Aug →
cache	13–8	0.03	24%	18 Aug →
dust2	13–10	0.08	32%	17 Aug →
nuke	11–13	0.01	27%	17 Aug →
mirage	9–13	0.01	18%	17 Aug →
dust2	13–5	-0.02	17%	17 Aug →
nuke	13–4	0.04	21%	17 Aug →
dust2	11–13	-0.03	24%	15 Aug →
mirage	2–13	-0.09	25%	15 Aug →
ancient	13–4	0.07	31%	15 Aug →
mirage	9–13	0.02	15%	15 Aug →
dust2	12–12	-0.01	25%	15 Aug →
mirage	13–7	-0.01	26%	12 Aug →
dust2	13–9	0.10	34%	12 Aug →
cache	13–2	0.10	13%	12 Aug →
ancient	4–13	0.16	26%	11 Aug →
dust2	13–3	0.08	17%	11 Aug →
anubis	1–5	-0.07	50%	7 Aug →
mirage	13–6	0.02	22%	6 Aug →
nuke	3–13	0.06	67%	6 Aug →
mirage	2–8	0.04	26%	5 Aug →
mirage	7–13	0.07	13%	5 Aug →
ancient	16–14	0.06	24%	4 Aug →
inferno	13–10	0.01	15%	4 Aug →
nuke	13–7	0.08	14%	4 Aug →
mirage	13–4	0.06	31%	4 Aug →
dust2	13–9	-0.01	14%	3 Aug →
cache	13–3	0.05	22%	3 Aug →
anubis	15–15	0.03	19%	3 Aug →
inferno	13–3	0.03	19%	2 Aug →
overpass	15–15	0.02	26%	28 Jun →
mirage	11–13	0.09	17%	28 Jun →
dust2	6–13	-0.01	41%	28 Jun →
dust2	13–8	0.12	17%	28 Jun →
dust2	10–3	0.05	9%	28 Jun →
dust2	13–2	0.08	27%	28 Jun →
mirage	13–9	-0.03	34%	13 Apr →
dust2	13–5	0.06	22%	13 Apr →
alpine	13–10	0.06	35%	23 Feb →
office	12–12	0.00	16%	28 Nov →
mirage	13–5	0.13	20%	26 Nov →
vertigo	7–13	0.01	19%	23 Nov →
mirage	5–13	0.04	16%	23 Nov →
mirage	8–13	0.04	23%	20 Nov →
mirage	13–6	0.06	29%	19 Nov →
anubis	1–13	0.02	19%	19 Nov →
mirage	8–13	0.06	24%	19 Nov →
overpass	13–8	0.12	12%	18 Nov →
inferno	13–9	0.11	24%	18 Nov →
vertigo	13–7	0.07	26%	18 Nov →
palacio	13–7	0.11	22%	14 Oct →
office	13–8	0.05	19%	2 Oct →
office	12–12	0.02	26%	2 Oct →
nuke	13–11	0.13	20%	18 Sept →
nuke	1–7	-0.06	19%	18 Sept →
anubis	13–8	0.04	18%	18 Sept →
nuke	13–6	0.02	13%	14 Sept →
mirage	13–8	-0.02	25%	13 Sept →
dust2	10–13	-0.00	20%	13 Sept →
nuke	2–10	-0.07	20%	13 Sept →
mirage	13–5	0.01	14%	13 Sept →
mirage	3–13	-0.08	4%	13 Sept →
nuke	13–7	0.07	18%	11 Sept →
ancient	13–3	0.09	22%	11 Sept →
vertigo	13–9	0.10	29%	11 Sept →
dust2	5–0	0.10	20%	11 Sept →
ancient	16–13	0.03	20%	20 Aug →
vertigo	12–12	0.05	23%	19 Aug →
inferno	5–13	-0.00	21%	21 May →
mirage	13–9	0.07	22%	14 May →
train	13–5	0.03	23%	23 Apr →
mirage	2–13	0.01	16%	23 Apr →
dust2	13–3	0.03	14%	1 Apr →
mirage	13–11	0.06	21%	1 Apr →
ancient	13–3	0.08	35%	26 Mar →
inferno	7–13	-0.00	8%	24 Mar →
mirage	13–2	0.23	19%	20 Mar →
nuke	13–6	0.06	29%	13 Mar →
train	13–1	0.15	30%	13 Mar →
train	9–13	-0.05	30%	11 Mar →
dust2	13–5	0.03	33%	11 Mar →
nuke	7–13	-0.03	33%	11 Mar →
inferno	3–13	-0.00	20%	11 Mar →
mirage	13–8	0.05	19%	11 Mar →
train	8–13	0.07	22%	11 Mar →
mirage	7–13	-0.01	27%	11 Mar →
edin	13–4	-0.04	19%	9 Mar →
anubis	13–4	0.02	17%	9 Mar →
ancient	6–13	-0.01	35%	9 Mar →
mirage	7–13	0.01	29%	6 Mar →
mirage	13–8	0.00	21%	6 Mar →
nuke	13–16	0.03	24%	6 Mar →
train	11–13	0.04	28%	5 Mar →
dust2	13–11	0.05	27%	5 Mar →
mirage	13–11	-0.03	30%	5 Mar →
inferno	13–3	0.05	24%	4 Mar →
mirage	13–11	0.03	16%	3 Mar →