TR1CK — CS2 Stats

FJ76561198013683861[U:1:53418133]Steam profile ↗

2,788Tracked matches47%Win rate2021Tracked since

2,126Hours in CS

CSDB Rating4.8 Developing

FaceitLevel 8 · 1,722 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59

Positioning44

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLLWWWLWWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim5.9

Aggression5.5

Utility6.5

Positioning4.4

Opening Duels1.8

Clutch4.0

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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 650ms 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

Aim5.9

Positioning4.4

Utility6.5

Mechanics6.0

Opening Duels1.8

Win Impact3.9

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time650ms−55ms

first ⅓ avg 705ms → last ⅓ avg 650ms

Headshot accuracy22.7%−2.3%

first ⅓ avg 25.1% → last ⅓ avg 22.7%

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

0.13Best rating — inferno 2–13

13–0Biggest win — dust2

5Longest win streak

L3Current streak

12–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 56% over 36mirageWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	20–16	56%	0.01
inferno	C	24	10–14	42%	0.02
nuke	B	21	11–10	52%	0.01
mirage	D	9	2–7	22%	-0.01
overpass	—	4	1–3	25%	0.04
ancient	—	3	0–3	0%	0.01
anubis	—	2	1–1	50%	-0.02
cache	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,008Lifetime kills

1.08K/D · Top 50% of tracked players

4,999Matches

41.9%Match win rate

49.3%Headshot % · Top 50% of tracked players

9.3%Shot accuracy

9,765MVPs

2,126Hours (in match)

6,537Bombs planted

1,319Bombs defused

Most-used weapons

AK-4730,991

M4A4 / M4A1-S19,842

AWP10,658

P2000 / USP-S5,813

Desert Eagle4,582

P2503,324

Glock-183,250

FAMAS2,529

MP72,311

Five-SeveN2,111

Lifetime map wins

18,084dust2

10,736nuke

9,529inferno

1,021vertigo

832train

115cbble

53lake

37safehouse

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

Faceit stats

Combat

907Matches

51%Win rate

1.09Avg K/D

79.4ADR

49%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	191	51%	1.13	15.9
Nuke	130	58%	1.14	16.2
Inferno	121	55%	1.18	16.5
Ancient	55	58%	1.12	16.3
Mirage	51	39%	0.99	14.2
Anubis	21	29%	0.98	12.6
Train	20	55%	1.08	14.3
Cache	17	41%	0.90	15.2

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.

22.7%Headshot accuracy

30.9%Accuracy (enemy spotted)

35.7%Spray accuracy

77.0%Counter-strafing

10.5°Preaim

650msReaction time

32.8%T opening success

41.5%CT opening success

0.56Enemies flashed / flash

6.8%Flash assists

12.25HE damage / grenade

10.24Flashes / 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 32.777% — below the 40% mark we flag

Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	14–16	-0.01	22%	25 Aug →
inferno	11–13	-0.01	25%	2 Aug →
dust2	6–13	-0.05	42%	31 Jul →
dust2	13–11	-0.01	26%	25 Jul →
nuke	13–3	0.02	21%	24 Jul →
dust2	13–4	-0.03	8%	24 Jul →
dust2	8–13	-0.04	20%	22 Jul →
dust2	13–5	-0.01	19%	22 Jul →
inferno	13–10	0.00	13%	12 Jun →
dust2	0–13	-0.02	28%	7 Jun →
dust2	9–13	-0.03	31%	6 Jun →
mirage	7–13	-0.02	24%	23 May →
inferno	13–11	0.01	19%	23 May →
nuke	8–13	-0.06	17%	23 May →
dust2	13–10	-0.01	15%	20 May →
inferno	13–8	0.05	27%	19 May →
mirage	7–13	-0.06	24%	19 May →
nuke	13–5	-0.01	38%	15 May →
mirage	14–16	-0.01	29%	13 May →
inferno	13–5	0.00	28%	13 May →
nuke	8–13	0.06	33%	13 May →
dust2	11–13	0.03	13%	13 May →
cache	13–6	0.11	23%	7 May →
inferno	7–13	0.02	27%	1 May →
dust2	13–9	0.04	20%	1 May →
inferno	5–13	0.00	15%	30 Apr →
mirage	13–6	0.04	22%	30 Apr →
nuke	4–13	-0.08	22%	30 Apr →
mirage	7–13	-0.04	15%	30 Apr →
dust2	13–8	0.01	20%	30 Apr →
dust2	17–19	-0.01	21%	27 Apr →
nuke	16–14	0.08	16%	26 Apr →
dust2	13–4	0.12	31%	26 Apr →
inferno	14–16	0.01	24%	23 Apr →
dust2	13–0	0.05	39%	23 Apr →
nuke	4–13	-0.03	21%	22 Apr →
nuke	4–13	-0.10	20%	21 Apr →
overpass	6–13	0.06	31%	19 Apr →
inferno	8–13	-0.02	10%	19 Apr →
dust2	4–13	0.04	18%	19 Apr →
nuke	9–3	0.07	25%	19 Apr →
inferno	4–9	0.01	26%	19 Apr →
dust2	6–13	0.01	20%	19 Apr →
mirage	6–13	0.02	19%	17 Apr →
nuke	5–13	0.01	20%	17 Apr →
nuke	13–8	-0.02	28%	13 Apr →
dust2	9–13	-0.02	32%	13 Apr →
inferno	8–13	-0.05	18%	13 Apr →
ancient	11–13	0.00	21%	13 Apr →
mirage	14–16	-0.02	34%	12 Apr →
inferno	8–13	0.03	33%	12 Apr →
nuke	13–11	0.07	19%	12 Apr →
dust2	14–16	0.10	26%	11 Apr →
dust2	13–7	-0.00	31%	11 Apr →
nuke	13–6	0.03	31%	11 Apr →
inferno	5–13	-0.10	19%	10 Apr →
dust2	13–5	0.05	33%	9 Apr →
inferno	16–14	-0.05	26%	9 Apr →
ancient	5–13	0.00	30%	8 Apr →
nuke	13–11	0.01	19%	6 Apr →
inferno	9–13	-0.03	18%	5 Apr →
dust2	13–11	0.02	23%	5 Apr →
dust2	13–0	0.09	35%	5 Apr →
overpass	8–13	0.05	25%	4 Apr →
inferno	13–9	0.06	14%	4 Apr →
dust2	13–8	-0.05	33%	4 Apr →
nuke	13–3	0.09	24%	4 Apr →
dust2	13–2	0.07	36%	4 Apr →
inferno	11–13	0.08	25%	2 Apr →
dust2	13–10	0.01	32%	1 Apr →
anubis	5–13	-0.06	10%	30 Mar →
inferno	13–5	-0.02	23%	29 Mar →
nuke	2–13	-0.05	13%	29 Mar →
inferno	2–13	0.13	27%	29 Mar →
nuke	7–9	0.00	13%	26 Mar →
inferno	3–13	-0.00	33%	23 Mar →
nuke	13–3	-0.03	12%	22 Mar →
dust2	10–13	0.05	18%	22 Mar →
overpass	10–13	0.07	28%	20 Mar →
dust2	15–15	-0.00	23%	20 Mar →
dust2	15–15	-0.06	20%	17 Mar →
dust2	13–11	0.02	33%	17 Mar →
dust2	16–14	0.00	24%	15 Mar →
nuke	13–10	0.03	16%	14 Mar →
anubis	13–11	0.01	19%	14 Mar →
dust2	13–6	0.10	40%	14 Mar →
dust2	5–13	-0.01	39%	11 Mar →
mirage	13–8	0.03	25%	11 Mar →
nuke	8–13	0.05	22%	11 Mar →
inferno	13–8	0.05	29%	11 Mar →
ancient	10–13	0.02	31%	10 Mar →
dust2	16–14	-0.01	30%	10 Mar →
dust2	3–13	-0.04	26%	10 Mar →
inferno	13–6	0.01	29%	9 Mar →
dust2	13–9	0.00	23%	9 Mar →
nuke	6–13	-0.00	32%	8 Mar →
inferno	13–7	0.09	30%	8 Mar →
mirage	8–13	-0.04	24%	8 Mar →
inferno	4–13	0.09	22%	6 Mar →
overpass	13–11	-0.01	20%	5 Mar →