TrexxzyLuck — CS2 Stats

US76561198410125770[U:1:449860042]Steam profile ↗✓ No bans

1,173Tracked matches55%Win rate2020Tracked since

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating17,840Purple band · top ~17.1% of ranked players (population est.)

CSDB Leaderboard#10034 of 18409 tracked

FaceitLevel 4 · 740 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning59

Utility76

0–100 skill scores via Leetify.

Recent form

HOT51–42–7Last 10051%Win rateWLLWWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.05 avg rating

Player DNA

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

Aim9.0

Aggression8.3

Utility7.6

Positioning5.9

Opening Duels4.4

Clutch1.4

Sharp aimerStrong CT-side openerHigh utility contribution

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 ZywOo 93% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 62% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim9.0

Positioning5.9

Utility7.6

Mechanics8.0

Opening Duels4.4

Win Impact6.7

Composite 7.3/10 (Strong), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time624ms−26ms

first ⅓ avg 651ms → last ⅓ avg 624ms

Headshot accuracy25.6%+0.1%

first ⅓ avg 25.5% → last ⅓ avg 25.6%

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 — anubis 13–8

13–0Biggest win — cache

7Longest win streak

6–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 38% over 26

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	26	10–16	38%	0.01
anubis	C	18	8–10	44%	0.03
cache	B	17	8–9	47%	0.01
mirage	A	11	7–4	64%	0.03
ancient	A	10	6–4	60%	-0.01
dust2	A	9	5–4	56%	0.01
nuke	S	9	7–2	78%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

185Matches

47%Win rate

1.14Avg K/D

97.4ADR

53%Headshot %

Clutches & streaks

27%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	31	52%	1.40	21.4
Anubis	15	60%	1.45	19.9
Ancient	14	71%	1.57	20.5
Nuke	14	57%	1.42	19.2
Dust2	14	57%	1.22	20.9
Inferno	14	21%	1.32	21.1
Overpass	8	50%	1.15	16.1
Vertigo	7	57%	1.17	18.4

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.

27.0%Headshot accuracy

41.3%Accuracy (enemy spotted)

43.0%Spray accuracy

85.8%Counter-strafing

9.7°Preaim

618msReaction time

33.5%T opening success

61.5%CT opening success

0.58Enemies flashed / flash

5.5%Flash assists

12.81HE damage / grenade

20.80Flashes / 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.

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 33.5487% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–4	0.00	25%	28 Aug →
cache	11–13	0.06	38%	28 Aug →
dust2	7–13	0.05	22%	27 Aug →
ancient	13–8	-0.02	28%	27 Aug →
cache	7–3	-0.01	0%	27 Aug →
anubis	13–8	0.23	20%	27 Aug →
cache	13–4	0.04	30%	27 Aug →
cache	13–0	0.01	28%	27 Aug →
cache	13–9	0.06	32%	27 Aug →
anubis	13–7	0.13	31%	27 Aug →
anubis	8–13	0.07	25%	27 Aug →
inferno	13–8	0.02	40%	27 Aug →
cache	7–13	0.00	33%	26 Aug →
ancient	13–4	-0.02	14%	26 Aug →
cache	6–13	0.06	30%	26 Aug →
cache	0–13	-0.08	13%	26 Aug →
inferno	6–13	0.01	48%	25 Aug →
anubis	4–13	-0.09	36%	25 Aug →
anubis	12–12	0.04	17%	25 Aug →
ancient	13–4	0.04	14%	25 Aug →
inferno	10–13	0.03	31%	25 Aug →
anubis	13–9	0.10	20%	25 Aug →
nuke	13–10	0.03	25%	25 Aug →
inferno	11–13	0.02	31%	25 Aug →
nuke	13–11	-0.07	22%	25 Aug →
inferno	0–6	-0.08	0%	25 Aug →
nuke	13–10	-0.02	29%	25 Aug →
nuke	11–13	-0.01	30%	25 Aug →
nuke	13–3	-0.05	27%	24 Aug →
inferno	9–13	0.02	31%	24 Aug →
ancient	12–12	0.04	19%	24 Aug →
ancient	13–10	0.06	25%	24 Aug →
anubis	3–13	-0.05	29%	23 Aug →
anubis	13–5	0.04	31%	23 Aug →
ancient	2–13	-0.03	34%	23 Aug →
nuke	6–13	-0.02	34%	23 Aug →
inferno	13–10	0.01	19%	23 Aug →
ancient	13–10	-0.07	25%	23 Aug →
inferno	13–11	-0.03	27%	23 Aug →
ancient	7–13	-0.09	41%	23 Aug →
ancient	13–10	0.02	19%	23 Aug →
inferno	13–4	0.05	22%	22 Aug →
cache	5–13	-0.06	29%	22 Aug →
inferno	12–12	0.06	41%	21 Aug →
nuke	13–6	-0.03	29%	21 Aug →
anubis	12–12	-0.01	24%	21 Aug →
inferno	11–13	-0.00	22%	21 Aug →
mirage	9–13	-0.06	27%	19 Aug →
anubis	12–12	0.00	36%	19 Aug →
anubis	9–13	-0.02	27%	19 Aug →
dust2	13–10	-0.01	22%	19 Aug →
inferno	12–12	-0.02	26%	19 Aug →
dust2	4–13	-0.08	42%	18 Aug →
dust2	3–13	0.03	24%	18 Aug →
inferno	8–13	0.06	26%	18 Aug →
dust2	13–6	-0.03	30%	18 Aug →
mirage	13–1	0.08	22%	18 Aug →
inferno	8–13	0.07	32%	18 Aug →
inferno	9–13	0.07	31%	17 Aug →
mirage	3–13	-0.04	19%	17 Aug →
mirage	13–6	0.01	37%	17 Aug →
mirage	13–6	0.11	28%	17 Aug →
mirage	13–9	0.03	27%	16 Aug →
dust2	8–13	0.03	34%	16 Aug →
dust2	13–6	0.06	30%	11 Aug →
cache	13–11	0.08	16%	2 Aug →
anubis	16–12	0.05	27%	2 Aug →
dust2	13–5	0.02	20%	2 Aug →
inferno	8–13	0.03	24%	2 Aug →
nuke	16–13	0.00	25%	1 Aug →
anubis	3–13	0.05	33%	1 Aug →
anubis	13–9	-0.00	28%	1 Aug →
inferno	10–13	-0.07	4%	1 Aug →
nuke	13–4	-0.01	28%	31 Jul →
dust2	13–8	0.03	20%	31 Jul →
anubis	13–11	0.02	26%	31 Jul →
ancient	7–13	0.00	12%	31 Jul →
anubis	13–7	0.04	23%	31 Jul →
inferno	13–7	-0.07	22%	30 Jul →
inferno	5–2	0.13	36%	30 Jul →
inferno	13–6	0.06	20%	30 Jul →
anubis	6–13	-0.05	22%	30 Jul →
inferno	13–8	0.03	20%	28 Jul →
anubis	5–13	0.06	21%	28 Jul →
cache	13–11	0.07	27%	28 Jul →
cache	13–9	-0.02	19%	28 Jul →
cache	9–13	-0.01	29%	26 Jul →
cache	12–12	-0.01	20%	26 Jul →
mirage	4–0	-0.06	20%	26 Jul →
mirage	13–6	0.13	30%	29 Apr →
cache	10–13	-0.02	21%	29 Apr →
cache	7–13	-0.06	24%	29 Apr →
mirage	13–4	0.04	37%	21 Apr →
inferno	6–13	-0.07	55%	19 Apr →
inferno	10–13	-0.02	49%	18 Apr →
inferno	13–9	-0.06	26%	16 Apr →
inferno	8–13	0.04	30%	16 Apr →
mirage	7–13	0.06	30%	16 Apr →
inferno	9–11	-0.05	23%	11 Apr →
mirage	7–13	0.01	19%	11 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

1,000 Matches

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