Turulu — CS2 Stats

ES76561199222778696[U:1:1262512968]Steam profile ↗✓ No bans

348Tracked matches50%Win rate2025Tracked since

CSDB Rating4.6 DevelopingClutch Specialist

WingmanSilver Elite

Ladder ranks via Leetify

Performance scores

Aim53

Positioning43

Utility20

0–100 skill scores via Leetify.

Recent form

COLD45–46–9Last 10045%Win rateWLLLLWLTWL

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.3

Aggression4.8

Utility2.0

Positioning4.3

Opening Duels1.1

Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 74% playstyle similarity

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

Where you differ: lower aim profile; 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

Areas to improve

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 48% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms 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

Aim5.3

Positioning4.3

Utility2.0

Mechanics7.2

Opening Duels2.2

Win Impact5.0

Composite 4.6/10 (Developing), 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-0.03+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time649ms−23ms

first ⅓ avg 671ms → last ⅓ avg 649ms

Headshot accuracy13.7%+1.2%

first ⅓ avg 12.5% → last ⅓ avg 13.7%

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

0.10Best rating — mirage 13–0

13–0Biggest win — cache

7Longest win streak

6–8In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 60% over 20trainWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	25	9–16	36%	-0.04
mirage	C	24	10–14	42%	-0.04
cache	A	20	12–8	60%	-0.03
dust2	A	10	6–4	60%	-0.03
train	D	7	2–5	29%	-0.05
anubis	B	6	3–3	50%	-0.02
vertigo	—	3	1–2	33%	-0.04
ancient	—	2	0–2	0%	0.02
nuke	—	2	2–0	100%	-0.05
overpass	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

2Matches

50%Win rate

0.84Avg K/D

73.2ADR

32%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1	100%	1.12	18.0
Overpass	1	0%	0.57	8.0

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.

13.7%Headshot accuracy

32.5%Accuracy (enemy spotted)

32.6%Spray accuracy

82.3%Counter-strafing

9.8°Preaim

655msReaction time

20.6%T opening success

47.9%CT opening success

0.23Enemies flashed / flash

1.6%Flash assists

9.92HE damage / grenade

1.30Flashes / 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 13.7127% — 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 0.2325 — 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 20.5934% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–8	-0.06	16%	29 Aug →
inferno	3–13	-0.12	11%	29 Aug →
mirage	10–13	-0.10	7%	29 Aug →
mirage	4–13	-0.09	5%	29 Aug →
train	11–13	-0.06	24%	29 Aug →
train	13–10	0.00	36%	28 Aug →
ancient	3–13	-0.02	21%	28 Aug →
inferno	12–12	-0.04	28%	28 Aug →
dust2	13–11	-0.03	24%	28 Aug →
cache	7–13	-0.07	8%	28 Aug →
vertigo	4–0	-0.03	0%	28 Aug →
mirage	12–12	-0.05	18%	28 Aug →
mirage	3–13	-0.07	12%	27 Aug →
mirage	7–13	-0.11	7%	27 Aug →
anubis	8–13	-0.03	9%	27 Aug →
cache	13–6	-0.06	0%	27 Aug →
cache	4–13	-0.05	11%	27 Aug →
anubis	2–13	-0.05	22%	26 Aug →
inferno	13–8	0.01	27%	26 Aug →
mirage	12–12	-0.05	13%	26 Aug →
mirage	13–11	0.02	9%	25 Aug →
mirage	7–13	0.05	11%	25 Aug →
cache	8–1	0.00	11%	25 Aug →
cache	13–11	-0.03	6%	24 Aug →
inferno	13–10	0.03	11%	24 Aug →
cache	13–8	-0.04	10%	24 Aug →
mirage	13–9	-0.06	4%	24 Aug →
inferno	12–12	0.04	15%	24 Aug →
cache	4–13	-0.10	6%	24 Aug →
anubis	13–4	0.02	10%	24 Aug →
train	2–13	-0.02	16%	24 Aug →
mirage	13–4	0.02	13%	24 Aug →
cache	13–0	0.02	33%	23 Aug →
train	3–13	-0.08	12%	23 Aug →
mirage	4–13	-0.11	6%	23 Aug →
vertigo	7–13	-0.10	12%	23 Aug →
anubis	13–6	-0.04	5%	23 Aug →
cache	8–13	0.02	14%	23 Aug →
inferno	5–8	-0.02	17%	23 Aug →
cache	13–6	-0.04	8%	23 Aug →
inferno	11–13	0.01	22%	22 Aug →
inferno	13–10	-0.03	16%	22 Aug →
inferno	10–13	-0.03	22%	21 Aug →
anubis	4–13	-0.03	23%	21 Aug →
ancient	8–13	0.05	9%	19 Aug →
cache	1–13	-0.12	10%	19 Aug →
inferno	12–12	-0.11	9%	18 Aug →
cache	7–13	-0.07	10%	18 Aug →
mirage	10–13	0.03	23%	13 Aug →
mirage	12–12	-0.02	11%	18 Jul →
train	8–13	-0.03	8%	4 Jul →
dust2	10–13	-0.07	8%	4 Jul →
inferno	5–13	-0.04	8%	2 Jul →
mirage	13–5	-0.04	17%	1 Jul →
mirage	12–12	0.02	10%	30 Jun →
inferno	3–13	-0.08	8%	29 Jun →
cache	13–6	0.05	15%	28 Jun →
mirage	13–4	-0.02	7%	28 Jun →
dust2	13–3	-0.03	19%	28 Jun →
dust2	13–8	0.02	13%	28 Jun →
inferno	2–13	-0.07	14%	28 Jun →
mirage	13–4	0.00	13%	28 Jun →
overpass	7–13	-0.01	17%	27 Jun →
inferno	8–13	-0.02	14%	27 Jun →
inferno	9–4	-0.19	9%	27 Jun →
dust2	13–3	-0.00	15%	27 Jun →
cache	13–7	-0.04	5%	27 Jun →
nuke	13–6	-0.06	12%	27 Jun →
cache	13–10	0.03	21%	27 Jun →
cache	13–7	0.03	18%	26 Jun →
mirage	13–10	-0.06	8%	26 Jun →
mirage	12–12	-0.06	9%	26 Jun →
mirage	13–0	0.10	9%	26 Jun →
inferno	11–13	-0.14	0%	26 Jun →
train	13–6	-0.04	5%	26 Jun →
dust2	11–13	-0.01	20%	26 Jun →
dust2	9–11	0.04	18%	26 Jun →
nuke	16–14	-0.04	9%	25 Jun →
inferno	13–11	-0.02	12%	25 Jun →
inferno	9–3	-0.02	9%	25 Jun →
mirage	13–9	-0.04	7%	23 Jun →
cache	3–13	-0.09	18%	23 Jun →
dust2	8–13	-0.07	10%	23 Jun →
inferno	11–13	-0.02	20%	23 Jun →
inferno	0–10	-0.13	0%	23 Jun →
mirage	13–11	-0.09	20%	22 Jun →
inferno	9–3	0.02	9%	22 Jun →
dust2	13–8	-0.07	19%	22 Jun →
inferno	8–8	-0.07	15%	21 Jun →
vertigo	7–9	-0.01	11%	21 Jun →
mirage	4–13	-0.07	15%	21 Jun →
inferno	6–13	-0.01	11%	21 Jun →
cache	13–9	-0.01	16%	21 Jun →
train	9–13	-0.11	10%	21 Jun →
cache	11–13	0.01	15%	21 Jun →
inferno	13–5	0.00	13%	21 Jun →
mirage	2–13	-0.07	19%	21 Jun →
anubis	13–6	0.03	9%	21 Jun →
dust2	13–9	-0.06	11%	21 Jun →
inferno	13–10	-0.01	15%	21 Jun →