Tron — CS2 Stats

76561199238279786[U:1:1278014058]✓ No bans

1,303Tracked matches61%Win rate2023Tracked since

1,678Hours in CS3Hrs last 2 wks

CSDB Rating4.7 Developing

Ladder ranks via Leetify

Performance scores

Aim53

Positioning47

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLLLWLWLLWW

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

Player DNA

Aim5.3

Aggression5.7

Utility4.5

Positioning4.7

Opening Duels2.1

Clutch3.4

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 83% playstyle similarity

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

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

Reaction time. 647ms 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

Positioning4.7

Utility4.5

Mechanics6.1

Opening Duels2.1

Win Impact8.6

Composite 4.7/10 (Developing), 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+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time678ms+53ms

first ⅓ avg 625ms → last ⅓ avg 678ms

Headshot accuracy21.2%+3.8%

first ⅓ avg 17.4% → last ⅓ avg 21.2%

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

0.13Best rating — mirage 13–8

13–0Biggest win — nuke

7Longest win streak

L3Current streak

7–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 55% over 20cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	0.01
mirage	A	20	11–9	55%	0.00
ancient	B	17	8–9	47%	0.02
inferno	C	10	4–6	40%	-0.01
nuke	C	9	4–5	44%	-0.01
anubis	B	6	3–3	50%	-0.01
cache	D	6	2–4	33%	0.02
overpass	—	2	1–1	50%	-0.05
train	—	1	1–0	100%	-0.09

Across the last 100 tracked matches.

Lifetime stats

37,451Lifetime kills

1.02K/D

2,256Matches

43.7%Match win rate

47.8%Headshot % · Top 50% of tracked players

0.0%Shot accuracy

4,857MVPs

865Hours (in match)

2,090Bombs planted

500Bombs defused

Most-used weapons

AK-4710,905

M4A4 / M4A1-S8,256

AWP4,656

MP73,234

P2000 / USP-S2,950

Glock-182,068

Desert Eagle1,311

SSG 08919

Galil AR723

MP9337

Lifetime map wins

5,639dust2

2,541nuke

1,763inferno

954vertigo

408train

22office

20italy

5ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

224Matches

48%Win rate

1.02Avg K/D

77.8ADR

43%Headshot %

Clutches & streaks

37%1v1 clutch win

16%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	62	52%	1.10	14.9
Mirage	53	36%	1.08	14.6
Nuke	30	40%	0.83	12.3
Anubis	25	52%	0.99	15.1
Inferno	21	52%	1.05	15.2
Ancient	19	68%	0.98	14.6
Overpass	9	33%	0.95	15.6
Train	5	80%	0.94	14.2

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.

21.2%Headshot accuracy

32.2%Accuracy (enemy spotted)

27.0%Spray accuracy

77.5%Counter-strafing

10.3°Preaim

647msReaction time

35.5%T opening success

41.4%CT opening success

0.52Enemies flashed / flash

2.1%Flash assists

7.56HE damage / grenade

10.26Flashes / 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
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 35.5318% — below the 40% mark we flag

Spend your practice time on Cache

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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	-0.02	13%	24 Aug →
anubis	11–13	0.00	18%	24 Aug →
mirage	11–13	0.06	23%	24 Aug →
cache	13–11	0.01	38%	10 Aug →
mirage	10–13	-0.05	31%	7 Aug →
mirage	13–10	0.03	24%	6 Aug →
ancient	3–13	-0.05	21%	6 Aug →
mirage	9–13	-0.04	14%	6 Aug →
anubis	13–6	-0.03	30%	6 Aug →
dust2	13–4	0.03	24%	5 Aug →
dust2	0–13	-0.08	27%	5 Aug →
dust2	13–6	0.08	30%	5 Aug →
ancient	4–13	-0.06	10%	5 Aug →
inferno	13–11	-0.09	13%	5 Aug →
cache	12–12	-0.01	25%	5 Aug →
ancient	13–10	-0.00	10%	5 Aug →
inferno	11–5	-0.08	18%	5 Aug →
dust2	13–9	0.08	27%	4 Aug →
dust2	13–8	-0.03	18%	4 Aug →
ancient	13–9	0.07	19%	4 Aug →
dust2	8–2	0.02	27%	2 Aug →
ancient	13–7	0.04	20%	2 Aug →
dust2	5–13	-0.01	29%	2 Aug →
dust2	14–16	0.06	24%	30 Jul →
mirage	13–10	0.02	16%	29 Jul →
mirage	13–8	0.01	20%	29 Jul →
dust2	9–13	-0.01	15%	28 Jul →
mirage	13–2	0.04	15%	27 Jul →
ancient	12–12	0.06	18%	27 Jul →
anubis	13–9	0.04	24%	26 Jul →
cache	13–11	0.08	21%	24 Jul →
mirage	0–7	-0.09	10%	24 Jul →
dust2	13–6	0.03	28%	23 Jul →
mirage	13–10	0.01	19%	23 Jul →
dust2	13–8	-0.05	23%	23 Jul →
ancient	13–7	-0.00	15%	23 Jul →
inferno	13–5	0.02	22%	22 Jul →
nuke	13–10	-0.01	21%	22 Jul →
inferno	9–13	0.01	8%	18 Jul →
ancient	8–13	0.05	9%	18 Jul →
dust2	13–8	0.04	23%	18 Jul →
dust2	11–13	0.10	19%	17 Jul →
mirage	5–13	-0.06	17%	17 Jul →
anubis	0–13	-0.05	0%	17 Jul →
nuke	13–7	0.01	20%	17 Jul →
nuke	13–0	0.10	22%	17 Jul →
dust2	9–13	-0.00	15%	17 Jul →
nuke	13–8	0.02	15%	16 Jul →
ancient	12–12	0.04	19%	15 Jul →
dust2	15–15	0.05	20%	15 Jul →
cache	1–13	0.02	24%	15 Jul →
dust2	13–7	-0.06	19%	14 Jul →
nuke	11–13	-0.04	21%	11 Jul →
dust2	13–5	0.04	26%	11 Jul →
ancient	7–13	0.05	14%	10 Jul →
mirage	13–8	0.06	22%	10 Jul →
dust2	7–13	-0.04	21%	10 Jul →
cache	12–12	-0.05	30%	10 Jul →
mirage	13–8	0.13	20%	9 Jul →
dust2	11–13	0.05	24%	9 Jul →
dust2	13–11	0.05	33%	9 Jul →
ancient	13–10	0.06	19%	27 Jun →
anubis	13–11	-0.04	17%	27 Jun →
mirage	13–4	0.04	12%	26 Jun →
nuke	7–13	-0.04	14%	18 Jun →
dust2	4–13	-0.07	16%	18 Jun →
nuke	3–13	-0.04	21%	17 Jun →
inferno	10–13	-0.08	17%	17 Jun →
mirage	3–13	-0.07	25%	17 Jun →
mirage	9–13	-0.08	10%	17 Jun →
dust2	14–16	-0.06	24%	17 Jun →
train	13–8	-0.09	10%	17 Jun →
nuke	13–16	0.02	19%	17 Jun →
dust2	13–11	-0.07	18%	17 Jun →
mirage	6–13	-0.04	23%	16 Jun →
inferno	12–12	0.06	28%	16 Jun →
mirage	13–7	0.04	21%	2 Jun →
overpass	13–16	-0.03	21%	1 Jun →
inferno	4–13	-0.06	17%	31 May →
cache	9–13	0.07	19%	31 May →
mirage	7–13	0.00	12%	31 May →
dust2	9–13	-0.00	17%	31 May →
inferno	7–4	0.08	17%	31 May →
overpass	13–10	-0.08	27%	25 May →
inferno	11–13	0.04	12%	24 May →
dust2	6–13	-0.05	19%	24 May →
mirage	13–7	-0.01	22%	24 May →
ancient	13–4	0.12	18%	24 May →
ancient	10–13	-0.02	14%	24 May →
nuke	1–13	-0.07	11%	24 May →
dust2	4–13	-0.01	9%	24 May →
inferno	5–13	-0.00	29%	24 May →
ancient	13–11	0.05	18%	24 May →
dust2	13–5	0.06	12%	23 May →
dust2	11–13	-0.03	18%	23 May →
ancient	13–7	-0.00	9%	23 May →
anubis	7–13	0.01	11%	23 May →
mirage	13–6	-0.03	20%	22 May →
ancient	4–13	-0.05	8%	22 May →
dust2	8–4	0.11	20%	22 May →