Treaux_ — CS2 Stats

US76561198047530226[U:1:87264498]Steam profile ↗✓ No bans

2,037Tracked matches72%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim87

Positioning57

Utility56

0–100 skill scores via Leetify.

Recent form

HOT58–38–4Last 10058%Win rateWWLWWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.07 avg rating

Player DNA

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

Aim8.7

Aggression8.5

Utility5.6

Positioning5.7

Opening Duels4.1

Clutch3.4

Sharp aimerStrong CT-side opener

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 b1t 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 87 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

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 61% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim8.7

Positioning5.7

Utility5.6

Mechanics7.6

Opening Duels4.1

Win Impact10.0

Composite 6.8/10 (Solid), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time567ms−32ms

first ⅓ avg 599ms → last ⅓ avg 567ms

Headshot accuracy22.9%+0.8%

first ⅓ avg 22.1% → last ⅓ avg 22.9%

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 — inferno 13–3

13–0Biggest win — cache

6Longest win streak

W2Current streak

7–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 69% over 16dust2Weakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	16	11–5	69%	0.02
cache	A	15	9–6	60%	0.01
dust2	D	14	4–10	29%	0.03
mirage	A	13	8–5	62%	0.02
inferno	A	13	8–5	62%	0.01
nuke	A	12	7–5	58%	0.01
anubis	A	7	4–3	57%	0.03
overpass	—	4	2–2	50%	0.02
vertigo	—	3	2–1	67%	-0.00
train	—	2	2–0	100%	0.07
fachwerk	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

244Matches

56%Win rate

1.07Avg K/D

83.8ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

26%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	58	52%	1.10	15.5
Mirage	51	49%	1.01	15.1
Anubis	42	57%	1.04	15.6
Inferno	28	61%	1.06	15.9
Vertigo	14	71%	1.22	18.8
Nuke	10	50%	0.98	13.6
Dust2	9	44%	0.95	14.7
Train	9	67%	1.11	15.0

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.

22.7%Headshot accuracy

38.0%Accuracy (enemy spotted)

41.1%Spray accuracy

84.1%Counter-strafing

8.3°Preaim

573msReaction time

32.1%T opening success

60.7%CT opening success

0.61Enemies flashed / flash

8.7%Flash assists

11.52HE damage / grenade

7.70Flashes / 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 32.0588% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–7	-0.01	23%	28 Aug →
train	13–1	0.07	28%	28 Aug →
mirage	7–13	-0.01	27%	28 Aug →
nuke	13–9	0.09	24%	28 Aug →
dust2	13–8	0.01	14%	27 Aug →
nuke	13–6	0.00	21%	27 Aug →
cache	13–0	0.15	22%	26 Aug →
ancient	13–4	0.11	18%	26 Aug →
mirage	13–9	0.10	23%	26 Aug →
dust2	11–13	0.11	18%	26 Aug →
cache	8–13	-0.06	12%	25 Aug →
ancient	13–10	-0.01	12%	24 Aug →
nuke	5–13	-0.03	27%	24 Aug →
cache	2–13	-0.01	20%	24 Aug →
mirage	13–9	0.09	19%	24 Aug →
mirage	13–9	0.00	16%	22 Aug →
inferno	13–10	0.05	37%	22 Aug →
inferno	13–0	-0.06	18%	20 Aug →
ancient	12–12	-0.01	29%	20 Aug →
mirage	13–9	-0.03	20%	20 Aug →
ancient	13–6	0.02	12%	18 Aug →
nuke	13–7	0.04	29%	11 Aug →
nuke	13–2	0.08	32%	8 Aug →
dust2	7–13	0.01	33%	7 Aug →
cache	13–2	0.08	24%	5 Aug →
dust2	4–13	0.04	40%	5 Aug →
inferno	13–3	0.16	35%	5 Aug →
nuke	13–16	-0.02	22%	4 Aug →
cache	16–14	-0.01	15%	4 Aug →
ancient	13–9	0.01	21%	4 Aug →
mirage	13–3	0.02	12%	4 Aug →
inferno	7–13	-0.02	26%	4 Aug →
cache	13–10	0.04	28%	4 Aug →
anubis	13–10	-0.01	19%	1 Aug →
dust2	15–15	0.04	22%	1 Aug →
nuke	13–9	-0.05	25%	30 Jul →
overpass	13–3	0.10	18%	30 Jul →
anubis	13–11	-0.03	13%	30 Jul →
cache	14–16	-0.01	21%	30 Jul →
ancient	13–5	-0.00	23%	30 Jul →
ancient	13–9	0.02	18%	28 Jul →
inferno	13–3	0.02	24%	28 Jul →
dust2	4–13	-0.01	18%	28 Jul →
nuke	13–8	-0.01	24%	28 Jul →
inferno	13–1	0.01	23%	28 Jul →
cache	10–13	-0.04	23%	28 Jul →
ancient	13–8	0.10	27%	27 Jul →
mirage	13–0	-0.02	20%	27 Jul →
anubis	3–13	-0.01	17%	27 Jul →
inferno	7–13	-0.06	16%	27 Jul →
nuke	5–13	0.01	21%	27 Jul →
cache	7–13	-0.04	20%	24 Jul →
mirage	11–13	0.04	16%	24 Jul →
cache	13–7	-0.05	11%	24 Jul →
dust2	7–13	-0.06	19%	23 Jul →
ancient	14–16	-0.06	14%	23 Jul →
inferno	7–13	0.00	25%	17 Jul →
ancient	12–12	0.02	28%	16 Jul →
cache	13–3	0.08	28%	14 Jul →
anubis	9–0	0.04	30%	14 Jul →
dust2	9–13	0.10	21%	14 Jul →
vertigo	10–13	-0.03	28%	14 Jul →
cache	13–10	-0.01	20%	14 Jul →
dust2	4–13	-0.01	32%	14 Jul →
ancient	13–1	0.05	20%	14 Jul →
nuke	9–13	-0.05	16%	14 Jul →
train	13–11	0.07	29%	14 Jul →
ancient	11–13	-0.01	16%	13 Jul →
mirage	8–13	-0.02	18%	13 Jul →
vertigo	13–2	0.04	28%	13 Jul →
nuke	13–6	0.04	17%	13 Jul →
dust2	13–11	-0.02	23%	13 Jul →
inferno	13–3	0.08	42%	13 Jul →
inferno	8–13	0.04	20%	13 Jul →
dust2	13–6	0.10	29%	11 Jul →
ancient	13–7	-0.04	17%	9 Jul →
anubis	13–8	0.09	21%	9 Jul →
fachwerk	13–6	0.04	25%	9 Jul →
vertigo	13–9	-0.01	23%	7 Jul →
mirage	6–13	0.01	37%	7 Jul →
cache	13–9	0.05	22%	7 Jul →
overpass	13–5	-0.00	30%	1 Jul →
inferno	13–11	0.00	20%	1 Jul →
mirage	16–14	0.04	17%	1 Jul →
dust2	9–13	0.01	32%	1 Jul →
inferno	13–9	0.00	19%	1 Jul →
overpass	12–16	-0.00	17%	1 Jul →
anubis	15–15	0.06	21%	1 Jul →
inferno	10–13	-0.05	17%	1 Jul →
ancient	4–13	-0.00	15%	1 Jul →
dust2	13–11	0.09	23%	30 Jun →
mirage	8–13	0.00	24%	30 Jun →
nuke	9–13	0.00	21%	30 Jun →
ancient	13–2	0.14	22%	30 Jun →
mirage	13–10	0.04	15%	29 Jun →
cache	11–13	0.06	31%	29 Jun →
dust2	7–13	0.05	20%	29 Jun →
overpass	9–13	-0.01	10%	29 Jun →
ancient	13–3	0.02	23%	28 Jun →
anubis	14–16	0.10	19%	28 Jun →