★TimmybarR — CS2 Stats

TM76561198264110909[U:1:303845181]Steam profile ↗✓ No bans

3,248Tracked matches59%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating20,738Pink band · top ~7.7% of ranked players (population est.)

CSDB Leaderboard#7544 of 19251 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning65

Utility74

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLWWLWWLWTL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.9

Aggression7.1

Utility7.4

Positioning6.5

Opening Duels3.3

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 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher 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 89 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 55% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim8.9

Positioning6.5

Utility7.4

Mechanics7.3

Opening Duels3.3

Win Impact7.9

Composite 7.4/10 (Strong), 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 rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time570ms−45ms

first ⅓ avg 615ms → last ⅓ avg 570ms

Headshot accuracy28.4%−1.1%

first ⅓ avg 29.5% → last ⅓ avg 28.4%

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

0.15Best rating — inferno 11–13

13–1Biggest win — ancient

6Longest win streak

10–12In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 83% over 6nukeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	23	13–10	57%	0.03
cache	B	20	9–11	45%	0.02
inferno	A	19	11–8	58%	0.03
dust2	C	14	6–8	43%	-0.00
anubis	A	7	4–3	57%	0.01
mirage	S	6	5–1	83%	0.04
nuke	D	6	2–4	33%	-0.01
overpass	—	4	0–4	0%	-0.03
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,040Matches

51%Win rate

1.24Avg K/D

87.9ADR

44%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	145	50%	1.33	18.4
Ancient	119	48%	1.26	17.9
Inferno	114	61%	1.49	18.4
Mirage	52	44%	1.29	19.4
Dust2	27	41%	1.22	18.1
Overpass	26	62%	1.35	17.6
Nuke	19	53%	1.16	16.7
Cache	11	45%	1.39	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.

28.4%Headshot accuracy

39.3%Accuracy (enemy spotted)

36.8%Spray accuracy

82.7%Counter-strafing

8.8°Preaim

584msReaction time

31.1%T opening success

55.3%CT opening success

0.67Enemies flashed / flash

12.1%Flash assists

9.27HE damage / grenade

12.95Flashes / 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 31.0995% — below the 40% mark we flag

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.

33% win rate across 6 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
cache	1–2	-0.12	0%	28 Aug →
inferno	13–6	-0.06	0%	25 Aug →
cache	13–6	0.04	29%	24 Aug →
cache	7–13	0.10	33%	24 Aug →
ancient	13–6	0.02	24%	22 Aug →
cache	13–11	-0.02	37%	22 Aug →
ancient	12–16	-0.01	24%	22 Aug →
inferno	13–2	0.13	37%	20 Aug →
cache	15–15	0.00	27%	19 Aug →
inferno	1–13	-0.06	29%	19 Aug →
mirage	16–14	0.02	25%	19 Aug →
ancient	13–10	0.08	23%	17 Aug →
anubis	16–14	0.03	23%	17 Aug →
anubis	3–13	-0.08	23%	17 Aug →
dust2	6–4	-0.08	42%	17 Aug →
inferno	11–13	0.15	22%	12 Aug →
inferno	13–6	0.09	27%	12 Aug →
mirage	7–13	-0.03	30%	6 Aug →
anubis	14–16	0.03	26%	3 Aug →
inferno	4–6	-0.04	20%	2 Aug →
dust2	13–10	0.06	43%	2 Aug →
ancient	13–4	0.04	34%	2 Aug →
ancient	13–5	0.08	17%	2 Aug →
nuke	10–13	0.08	29%	2 Aug →
ancient	13–7	0.07	35%	31 Jul →
dust2	6–13	0.01	38%	30 Jul →
dust2	13–5	-0.01	44%	30 Jul →
cache	7–13	-0.08	18%	23 Jul →
cache	13–5	0.08	26%	23 Jul →
ancient	13–4	0.03	30%	23 Jul →
dust2	13–2	0.14	47%	23 Jul →
ancient	13–4	0.01	45%	23 Jul →
ancient	13–16	0.07	28%	23 Jul →
inferno	13–2	0.07	37%	22 Jul →
mirage	13–2	0.01	27%	22 Jul →
cache	9–13	0.01	29%	22 Jul →
cache	13–6	0.04	33%	22 Jul →
ancient	11–13	-0.03	15%	13 Jul →
ancient	7–13	-0.00	23%	12 Jul →
nuke	13–8	0.06	25%	12 Jul →
train	8–13	-0.03	19%	10 Jul →
cache	13–9	-0.01	26%	7 Jul →
inferno	13–7	-0.04	17%	7 Jul →
mirage	13–3	0.10	20%	4 Jul →
ancient	16–19	-0.01	23%	27 Jun →
nuke	11–13	-0.04	36%	26 Jun →
dust2	10–13	-0.08	30%	25 Jun →
anubis	5–13	-0.02	20%	24 Jun →
ancient	13–8	0.12	35%	22 Jun →
dust2	11–13	0.02	26%	17 Jun →
ancient	4–13	-0.03	26%	17 Jun →
dust2	10–13	0.02	24%	16 Jun →
ancient	13–8	0.00	14%	16 Jun →
cache	13–9	0.11	34%	16 Jun →
inferno	6–13	0.01	34%	15 Jun →
cache	8–13	-0.00	32%	14 Jun →
overpass	9–13	-0.12	11%	14 Jun →
inferno	15–15	-0.03	20%	12 Jun →
ancient	13–4	0.01	16%	11 Jun →
overpass	14–16	-0.00	25%	11 Jun →
cache	11–13	0.07	24%	7 Jun →
anubis	13–8	0.03	20%	4 Jun →
dust2	4–13	-0.02	19%	4 Jun →
dust2	0–13	-0.07	0%	4 Jun →
mirage	13–5	0.13	15%	4 Jun →
cache	7–13	0.03	16%	4 Jun →
ancient	14–16	0.02	26%	3 Jun →
ancient	5–13	-0.02	15%	3 Jun →
cache	11–13	0.04	28%	3 Jun →
inferno	13–8	0.04	27%	2 Jun →
cache	13–11	-0.04	38%	2 Jun →
inferno	16–14	0.05	25%	2 Jun →
nuke	13–11	-0.03	21%	2 Jun →
ancient	13–9	0.05	22%	2 Jun →
inferno	13–9	0.13	39%	1 Jun →
dust2	4–13	-0.03	21%	1 Jun →
inferno	0–13	-0.08	40%	28 May →
inferno	13–7	0.01	28%	28 May →
inferno	13–11	0.06	26%	27 May →
inferno	13–9	0.08	31%	27 May →
dust2	13–3	0.06	38%	27 May →
inferno	10–13	0.08	20%	27 May →
ancient	13–1	0.09	18%	27 May →
cache	4–13	0.06	41%	27 May →
nuke	2–13	-0.09	27%	23 May →
dust2	16–14	0.03	29%	23 May →
overpass	8–13	0.01	34%	21 May →
mirage	13–10	-0.02	19%	20 May →
dust2	4–13	-0.03	22%	17 May →
ancient	9–13	-0.02	20%	16 May →
ancient	13–9	0.09	34%	16 May →
nuke	7–13	-0.02	22%	16 May →
anubis	13–10	0.04	46%	16 May →
ancient	14–16	0.01	28%	16 May →
cache	9–13	0.03	29%	16 May →
anubis	13–8	0.03	22%	16 May →
cache	13–11	0.02	48%	16 May →
inferno	9–13	0.03	33%	14 May →
overpass	9–13	0.01	50%	14 May →
cache	13–5	-0.06	30%	14 May →