Tr[E]fLa — CS2 Stats

US76561199022758743[U:1:1062493015]Steam profile ↗

2,051Tracked matches34%Win rate2020Tracked since

11,076Hours in CS52Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating21,799Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#10851 of 36668 tracked

FaceitLevel 10 · 2,921 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	75.2%	52.0%
Shot accuracy	17.5%	13.7%
Kill/death ratio	2.36	1.08
Match win rate	50.9%	48.8%

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Performance scores

Aim86

Positioning59

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWLWLLWLWW

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

Player DNA

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

Aim8.6

Aggression8.7

Utility5.1

Positioning5.9

Opening Duels3.8

Clutch4.4

Sharp aimer

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 jL 93% playstyle similarity

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

Where you differ: 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 595ms 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

Aim8.6

Positioning5.9

Utility5.1

Mechanics7.2

Opening Duels3.8

Win Impact0.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time611ms+12ms

first ⅓ avg 598ms → last ⅓ avg 611ms

Headshot accuracy28.8%+2.5%

first ⅓ avg 26.3% → last ⅓ avg 28.8%

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

0.16Best rating — ancient 13–7

13–1Biggest win — mirage

7Longest win streak

7–4In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 57% over 23nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	13–10	57%	0.03
mirage	C	18	8–10	44%	0.02
ancient	C	14	5–9	36%	0.03
inferno	A	14	8–6	57%	0.01
cache	B	13	7–6	54%	0.02
anubis	C	10	4–6	40%	0.02
nuke	D	7	2–5	29%	-0.00
overpass	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

279,197Lifetime kills

2.36K/D · Top 1% of Level 10 players

3,692Matches

50.9%Match win rate · Top 50% of Level 10 players

75.2%Headshot % · Top 1% of Level 10 players

17.5%Shot accuracy · Top 25% of Level 10 players

14,718MVPs

4,795Hours (in match)

2,875Bombs planted

2,050Bombs defused

Most-used weapons

M4A4 / M4A1-S151,182

AK-4765,393

AWP15,571

P2509,850

P2000 / USP-S8,745

Desert Eagle7,245

Glock-184,198

Knife2,222

FAMAS1,937

MAC-101,738

Lifetime map wins

10,008dust2

5,785inferno

4,540vertigo

1,887nuke

1,805train

69cbble

42aztec

35office

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

Faceit stats

Combat

1,631Matches

54%Win rate

1.30Avg K/D

85.6ADR

49%Headshot %

Clutches & streaks

42%1v1 clutch win

25%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	326	56%	1.25	17.9
Ancient	188	54%	1.36	18.7
Anubis	175	49%	1.16	17.8
Dust2	140	52%	1.22	17.6
Nuke	62	50%	1.19	16.5
Vertigo	61	52%	1.22	18.6
Inferno	59	47%	1.11	17.1
Train	16	62%	1.67	16.1

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.

27.7%Headshot accuracy

37.5%Accuracy (enemy spotted)

36.9%Spray accuracy

82.6%Counter-strafing

8.9°Preaim

595msReaction time

42.7%T opening success

47.7%CT opening success

0.57Enemies flashed / flash

9.4%Flash assists

9.18HE damage / grenade

9.88Flashes / match

Recommended for you

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	10–13	0.02	27%	28 Aug →
ancient	13–9	-0.01	18%	27 Aug →
nuke	10–13	0.03	28%	27 Aug →
dust2	13–7	0.08	26%	27 Aug →
ancient	3–13	-0.02	7%	27 Aug →
dust2	11–13	0.02	30%	27 Aug →
nuke	13–10	0.04	30%	27 Aug →
inferno	4–13	-0.03	59%	26 Aug →
dust2	13–10	0.04	31%	26 Aug →
anubis	13–4	0.08	26%	26 Aug →
mirage	11–13	0.05	32%	26 Aug →
cache	13–11	0.02	26%	26 Aug →
dust2	8–13	-0.06	13%	25 Aug →
anubis	10–13	-0.03	22%	25 Aug →
ancient	7–13	-0.03	30%	12 Aug →
mirage	13–7	0.06	31%	12 Aug →
inferno	13–5	0.04	38%	12 Aug →
cache	8–13	-0.02	20%	11 Aug →
nuke	15–15	-0.00	25%	11 Aug →
cache	13–4	0.08	30%	11 Aug →
dust2	16–13	0.08	42%	11 Aug →
dust2	1–13	-0.05	50%	18 Jul →
ancient	7–13	-0.03	25%	18 Jul →
dust2	5–13	-0.01	30%	18 Jul →
anubis	7–13	-0.04	13%	18 Jul →
mirage	5–13	0.05	23%	16 Jul →
mirage	7–13	-0.06	34%	16 Jul →
nuke	9–13	0.02	22%	16 Jul →
cache	7–13	-0.02	26%	16 Jul →
dust2	7–13	0.01	24%	16 Jul →
mirage	2–13	-0.05	50%	15 Jul →
cache	6–13	0.02	32%	15 Jul →
cache	5–13	-0.03	30%	15 Jul →
mirage	13–7	0.04	15%	15 Jul →
cache	0–7	-0.06	27%	15 Jul →
dust2	13–11	0.03	29%	14 Jul →
dust2	16–13	0.05	15%	14 Jul →
cache	13–10	0.02	25%	14 Jul →
dust2	13–6	0.13	30%	14 Jul →
inferno	13–9	0.05	20%	14 Jul →
nuke	2–13	-0.01	38%	28 Jun →
cache	13–11	0.04	21%	28 Jun →
dust2	3–13	-0.05	19%	28 Jun →
mirage	13–9	-0.04	20%	28 Jun →
cache	13–7	0.02	21%	27 Jun →
cache	7–1	0.09	19%	27 Jun →
ancient	9–13	-0.03	14%	17 Jun →
ancient	9–13	-0.01	28%	17 Jun →
dust2	13–8	0.04	14%	17 Jun →
mirage	13–10	0.03	25%	10 Jun →
inferno	3–13	0.02	15%	10 Jun →
inferno	5–13	-0.05	21%	10 Jun →
nuke	13–7	-0.02	18%	10 Jun →
ancient	13–3	0.11	26%	10 Jun →
dust2	16–13	0.03	23%	10 Jun →
mirage	13–9	0.05	20%	10 Jun →
anubis	13–11	0.03	29%	10 Jun →
ancient	13–6	0.11	25%	10 Jun →
anubis	13–7	0.12	36%	10 Jun →
nuke	6–13	-0.04	26%	9 Jun →
mirage	7–13	-0.02	17%	9 Jun →
inferno	13–10	0.02	27%	9 Jun →
ancient	9–13	-0.02	16%	9 Jun →
anubis	8–13	0.01	34%	13 May →
dust2	13–6	0.05	23%	13 May →
inferno	19–15	0.01	22%	13 May →
inferno	14–16	-0.03	18%	13 May →
anubis	10–13	-0.01	25%	12 May →
anubis	5–13	-0.05	21%	12 May →
mirage	13–16	-0.05	20%	12 May →
ancient	9–13	0.06	15%	12 May →
mirage	6–13	-0.04	31%	12 May →
dust2	15–15	-0.03	20%	12 May →
inferno	15–15	-0.01	39%	12 May →
dust2	13–8	0.03	16%	12 May →
inferno	16–14	0.10	22%	10 May →
mirage	16–14	0.10	29%	10 May →
mirage	13–5	0.13	31%	9 May →
inferno	16–12	-0.01	18%	9 May →
ancient	6–13	0.05	28%	9 May →
inferno	13–2	-0.03	32%	9 May →
dust2	1–13	-0.04	18%	9 May →
ancient	13–7	0.16	14%	9 May →
anubis	13–5	0.08	17%	9 May →
mirage	13–1	0.04	13%	9 May →
inferno	13–9	0.02	42%	4 May →
dust2	16–14	-0.01	20%	3 May →
mirage	7–13	0.02	31%	3 May →
dust2	13–9	0.09	21%	3 May →
anubis	5–13	0.04	44%	3 May →
mirage	9–13	0.07	40%	3 May →
inferno	9–13	0.07	43%	3 May →
dust2	1–13	0.03	36%	3 May →
overpass	3–13	-0.01	31%	2 May →
ancient	13–10	0.06	28%	2 May →
cache	13–9	0.08	20%	2 May →
cache	9–13	0.05	22%	2 May →
dust2	11–13	0.04	25%	2 May →
dust2	13–8	0.09	33%	2 May →
mirage	4–13	0.02	23%	2 May →