WorldOfTShirts — CS2 Stats

76561198042914045[U:1:82648317]

412Tracked matches46%Win rate2020Tracked since

CSDB Rating3.8 Learning

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning31

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY43–44–13Last 10043%Win rateLWWLTWWWLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim4.6

Aggression1.4

Utility2.7

Positioning3.1

Opening Duels0.0

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 NiKo 67% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

T-side openings. Opening success drops from 34% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim4.6

Positioning3.1

Utility2.7

Mechanics6.7

Opening Duels0.5

Win Impact3.7

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time663ms+14ms

first ⅓ avg 650ms → last ⅓ avg 663ms

Headshot accuracy11.1%+0.6%

first ⅓ avg 10.5% → last ⅓ avg 11.1%

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

0.11Best rating — inferno 13–3

13–1Biggest win — ancient

8Longest win streak

6–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 62% over 13officeWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	16	5–11	31%	-0.05
office	D	14	3–11	21%	-0.04
mirage	A	13	8–5	62%	-0.01
ancient	A	13	8–5	62%	-0.02
cache	B	13	6–7	46%	-0.02
inferno	B	11	5–6	45%	-0.00
nuke	C	5	2–3	40%	-0.03
anubis	C	5	2–3	40%	-0.06
overpass	—	4	1–3	25%	-0.05
shelter	—	2	0–2	0%	0.00
boulder	—	1	1–0	100%	-0.02
warden	—	1	0–1	0%	0.00
vertigo	—	1	1–0	100%	0.04
train	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

48Matches

42%Win rate

0.68Avg K/D

—ADR

26%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLWL

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.

10.9%Headshot accuracy

33.2%Accuracy (enemy spotted)

34.8%Spray accuracy

80.1%Counter-strafing

10.7°Preaim

665msReaction time

15.1%T opening success

33.7%CT opening success

0.30Enemies flashed / flash

6.2%Flash assists

11.32HE damage / grenade

2.80Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.9494% — below the 15% mark we flag
Aim Training →
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 0.3005 — below the 0.5 mark we flag
Grenade Lineups →
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 15.1129% — below the 40% mark we flag

Spend your practice time on Dust 2

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	-0.08	14%	15 Jul →
mirage	13–10	-0.00	14%	15 Jul →
dust2	13–6	-0.09	8%	15 Jul →
dust2	9–13	-0.05	17%	15 Jul →
shelter	12–12	0.01	6%	12 Jul →
mirage	13–9	-0.05	19%	12 Jul →
ancient	13–4	-0.04	13%	12 Jul →
nuke	13–11	-0.01	5%	12 Jul →
anubis	6–13	-0.08	11%	12 Jul →
cache	11–4	-0.08	14%	12 Jul →
boulder	13–6	-0.02	9%	12 Jul →
inferno	9–13	-0.07	0%	11 Jul →
dust2	5–13	-0.10	16%	11 Jul →
mirage	12–12	0.09	12%	11 Jul →
shelter	10–13	-0.00	9%	11 Jul →
mirage	13–11	-0.00	11%	9 Jul →
nuke	10–13	-0.05	9%	9 Jul →
anubis	13–9	-0.06	7%	9 Jul →
dust2	12–12	-0.05	9%	7 Jul →
office	9–13	-0.06	19%	7 Jul →
cache	5–13	-0.04	6%	7 Jul →
ancient	13–8	-0.02	14%	7 Jul →
mirage	13–3	0.02	9%	18 Jun →
inferno	10–13	-0.02	12%	18 Jun →
cache	5–13	-0.04	7%	17 Jun →
dust2	9–13	-0.05	8%	17 Jun →
anubis	13–11	-0.06	11%	14 Jun →
cache	12–12	-0.02	18%	13 Jun →
ancient	1–8	-0.04	10%	13 Jun →
dust2	9–13	-0.09	10%	3 Jun →
nuke	2–13	-0.10	10%	3 Jun →
warden	6–13	0.00	9%	2 Jun →
office	7–13	-0.02	18%	2 Jun →
office	13–9	0.01	17%	21 May →
cache	13–9	-0.06	14%	21 May →
inferno	7–13	0.01	25%	21 May →
anubis	2–13	-0.10	6%	20 May →
inferno	13–7	-0.04	9%	20 May →
dust2	13–11	-0.06	16%	19 May →
ancient	7–13	-0.09	13%	15 May →
cache	7–13	-0.02	23%	15 May →
nuke	11–13	-0.01	9%	15 May →
cache	12–12	-0.05	23%	13 May →
dust2	12–12	0.00	19%	8 May →
cache	13–7	0.05	12%	8 May →
cache	13–7	-0.05	15%	8 May →
cache	13–11	-0.01	13%	5 May →
office	6–13	-0.07	0%	2 May →
cache	6–13	-0.01	12%	2 May →
cache	13–9	0.00	14%	29 Apr →
cache	12–12	0.02	18%	29 Apr →
ancient	13–6	0.00	17%	25 Apr →
inferno	13–4	-0.01	2%	25 Apr →
mirage	13–10	-0.05	14%	25 Apr →
nuke	13–2	0.01	23%	23 Apr →
ancient	13–6	0.07	15%	23 Apr →
inferno	13–3	0.11	13%	23 Apr →
mirage	13–9	0.04	18%	23 Apr →
inferno	13–10	0.00	21%	22 Apr →
office	9–13	-0.06	13%	22 Apr →
overpass	9–13	-0.06	14%	22 Apr →
vertigo	13–7	0.04	18%	21 Apr →
dust2	13–6	0.02	30%	21 Apr →
mirage	13–6	-0.03	19%	21 Apr →
office	6–13	-0.07	6%	21 Apr →
ancient	6–13	-0.04	9%	21 Apr →
overpass	13–9	-0.06	12%	21 Apr →
inferno	11–13	-0.06	15%	20 Apr →
dust2	9–13	-0.06	6%	20 Apr →
ancient	13–5	0.01	12%	16 Apr →
office	12–12	-0.01	22%	15 Apr →
overpass	8–13	-0.05	7%	15 Apr →
office	13–10	0.02	21%	10 Apr →
anubis	12–12	-0.03	12%	4 Apr →
dust2	13–2	0.03	17%	4 Apr →
dust2	12–12	-0.02	8%	4 Apr →
office	5–13	-0.07	13%	2 Apr →
mirage	7–13	-0.03	11%	2 Apr →
ancient	11–13	-0.03	5%	2 Apr →
ancient	13–5	0.05	8%	24 Mar →
mirage	13–8	-0.05	11%	24 Mar →
dust2	12–12	-0.06	9%	24 Mar →
train	13–5	-0.05	14%	21 Mar →
office	5–13	-0.07	9%	21 Mar →
ancient	9–13	-0.02	7%	21 Mar →
inferno	12–12	0.04	18%	20 Mar →
dust2	9–13	-0.08	9%	22 Feb →
office	13–5	-0.09	0%	22 Feb →
office	10–13	-0.05	0%	31 Jan →
inferno	13–7	0.02	10%	31 Jan →
ancient	13–11	-0.05	17%	31 Jan →
dust2	13–8	-0.02	14%	31 Jan →
mirage	6–13	-0.02	17%	29 Jan →
ancient	13–1	-0.02	5%	29 Jan →
overpass	8–13	-0.03	19%	27 Jan →
inferno	11–13	-0.01	8%	26 Jan →
office	8–13	-0.01	3%	18 Jan →
dust2	4–13	-0.06	8%	18 Jan →
office	12–12	-0.05	0%	16 Jan →
mirage	4–13	-0.01	15%	16 Jan →