timothy — CS2 Stats

MY76561199034335571[U:1:1074069843]Steam profile ↗✓ No bans

154Tracked matches38%Win rate2022Tracked since

691Hours in CS1Hrs last 2 wks

CSDB Rating1.7 Learning

Ladder ranks via Leetify

Performance scores

Aim13

Positioning37

Utility17

0–100 skill scores via Leetify.

Recent form

STEADY40–54–6Last 10040%Win rateLWWLLLWTWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim1.3

Aggression3.2

Utility1.7

Positioning3.7

Opening Duels0.0

Clutch1.2

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 59% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 740ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.3

Positioning3.7

Utility1.7

Mechanics0.8

Opening Duels0.8

Win Impact1.0

Composite 1.7/10 (Learning), 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 rating-0.04−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time734ms+60ms

first ⅓ avg 675ms → last ⅓ avg 734ms

Headshot accuracy14.7%+3.7%

first ⅓ avg 11.0% → last ⅓ avg 14.7%

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

0.11Best rating — dust2 13–11

13–1Biggest win — nuke

3Longest win streak

6–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 44% over 32ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	32	14–18	44%	-0.04
dust2	C	27	12–15	44%	-0.03
mirage	C	17	6–11	35%	-0.03
nuke	C	8	3–5	38%	-0.04
ancient	D	7	2–5	29%	-0.07
overpass	—	3	1–2	33%	-0.05
cache	—	2	0–2	0%	-0.02
anubis	—	2	2–0	100%	-0.06
alpine	—	1	0–1	0%	-0.00
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Lifetime stats

19,275Lifetime kills

0.96K/D

1,322Matches

40.8%Match win rate

35.7%Headshot %

13.4%Shot accuracy · Top 50% of tracked players

2,027MVPs

425Hours (in match)

490Bombs planted

142Bombs defused

Most-used weapons

M4A4 / M4A1-S3,476

AK-473,262

AWP1,490

P901,420

P2000 / USP-S1,025

Negev870

Glock-18810

Desert Eagle678

AUG662

MP9633

Lifetime map wins

3,420inferno

2,519dust2

357nuke

267vertigo

90office

62lake

45italy

37train

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

Faceit stats

Combat

38Matches

32%Win rate

0.64Avg K/D

58.3ADR

44%Headshot %

Clutches & streaks

26%1v1 clutch win

20%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	12	58%	0.78	12.2
Dust2	9	22%	0.57	8.6
Mirage	8	12%	0.71	11.0
Ancient	5	40%	0.42	7.2
Nuke	2	0%	0.48	9.0
Overpass	1	0%	0.64	9.0

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.

14.4%Headshot accuracy

24.8%Accuracy (enemy spotted)

25.8%Spray accuracy

53.6%Counter-strafing

9.8°Preaim

740msReaction time

23.6%T opening success

36.5%CT opening success

0.31Enemies flashed / flash

0.9%Flash assists

6.04HE damage / grenade

1.68Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.351% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 740.1953ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3076 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.04	12%	19 May →
nuke	13–7	-0.07	9%	3 May →
dust2	13–3	0.08	4%	3 May →
cache	5–13	-0.00	13%	30 Apr →
dust2	7–13	-0.01	12%	30 Apr →
cache	8–13	-0.04	12%	30 Apr →
mirage	13–10	0.06	13%	28 Apr →
inferno	8–8	-0.07	11%	27 Apr →
inferno	13–9	-0.05	8%	26 Apr →
mirage	13–5	0.04	16%	25 Apr →
dust2	10–6	-0.03	2%	25 Apr →
mirage	12–2	-0.04	29%	24 Apr →
mirage	3–13	-0.02	21%	24 Apr →
mirage	11–13	-0.07	14%	23 Apr →
dust2	2–13	-0.10	24%	23 Apr →
inferno	11–13	-0.06	14%	23 Apr →
dust2	13–10	-0.11	19%	22 Apr →
ancient	9–13	-0.02	12%	22 Apr →
nuke	13–1	-0.01	21%	22 Apr →
inferno	10–13	0.04	20%	22 Apr →
dust2	2–13	-0.02	19%	21 Apr →
dust2	13–2	-0.02	24%	21 Apr →
overpass	5–13	-0.08	25%	21 Apr →
nuke	12–12	-0.02	15%	20 Apr →
anubis	13–3	-0.07	28%	20 Apr →
nuke	6–13	-0.09	0%	20 Apr →
mirage	14–16	-0.10	9%	20 Apr →
inferno	13–7	-0.00	12%	20 Apr →
dust2	8–13	-0.07	12%	19 Apr →
dust2	6–13	-0.02	21%	19 Apr →
ancient	12–16	-0.08	9%	19 Apr →
mirage	4–13	-0.04	21%	19 Apr →
dust2	13–6	-0.05	5%	18 Apr →
ancient	4–13	-0.07	12%	18 Apr →
mirage	9–13	-0.03	8%	18 Apr →
mirage	6–13	0.01	18%	18 Apr →
inferno	13–10	-0.04	8%	18 Apr →
dust2	13–6	0.02	24%	18 Apr →
ancient	6–13	-0.14	3%	17 Apr →
overpass	13–8	-0.09	10%	16 Apr →
inferno	11–13	-0.09	14%	16 Apr →
mirage	13–5	-0.03	18%	16 Apr →
dust2	13–11	0.11	17%	13 Apr →
inferno	9–13	-0.06	19%	13 Apr →
mirage	2–13	-0.12	0%	13 Apr →
nuke	3–13	-0.05	15%	12 Apr →
ancient	13–11	-0.08	8%	12 Apr →
nuke	12–16	-0.05	12%	11 Apr →
inferno	13–7	-0.03	14%	11 Apr →
inferno	13–10	-0.05	16%	11 Apr →
inferno	5–9	-0.18	6%	10 Apr →
dust2	8–13	-0.07	6%	9 Apr →
ancient	13–3	-0.02	7%	9 Apr →
inferno	6–13	-0.04	16%	8 Apr →
alpine	3–9	-0.00	12%	7 Apr →
dust2	13–7	0.01	6%	7 Apr →
anubis	13–11	-0.05	22%	6 Apr →
nuke	13–8	0.04	12%	6 Apr →
overpass	9–13	0.00	15%	6 Apr →
dust2	13–9	-0.00	14%	6 Apr →
inferno	2–13	-0.08	17%	6 Apr →
mirage	13–2	0.02	11%	6 Apr →
ancient	9–13	-0.05	12%	5 Apr →
inferno	13–4	-0.02	15%	5 Apr →
inferno	8–7	-0.06	19%	4 Apr →
dust2	9–13	-0.09	4%	4 Apr →
mirage	7–13	-0.02	16%	4 Apr →
inferno	7–13	0.03	9%	4 Apr →
mirage	5–13	-0.02	11%	4 Apr →
mirage	13–4	-0.06	7%	3 Apr →
inferno	8–8	-0.16	10%	2 Apr →
inferno	5–13	-0.05	19%	2 Apr →
inferno	13–10	0.05	14%	2 Apr →
dust2	5–3	-0.08	0%	2 Apr →
dust2	13–11	-0.10	8%	2 Apr →
inferno	6–13	-0.08	11%	2 Apr →
dust2	13–11	-0.04	12%	2 Apr →
dust2	5–13	-0.04	13%	2 Apr →
inferno	10–13	0.04	15%	28 Mar →
inferno	13–4	0.02	22%	27 Mar →
inferno	13–4	0.02	4%	27 Mar →
mirage	5–13	-0.07	11%	27 Mar →
dust2	9–13	-0.07	15%	27 Mar →
dust2	12–12	-0.05	14%	27 Mar →
dust2	6–13	-0.05	17%	26 Mar →
mirage	12–12	-0.06	2%	26 Mar →
dust2	13–1	0.08	15%	25 Mar →
inferno	7–13	-0.04	4%	25 Mar →
inferno	13–9	-0.08	2%	25 Mar →
inferno	6–13	-0.09	10%	25 Mar →
inferno	13–10	-0.03	15%	21 Mar →
dust2	1–13	-0.13	0%	21 Mar →
dust2	13–10	-0.02	18%	30 Jun →
inferno	13–2	0.03	8%	30 Jun →
inferno	12–5	0.00	6%	30 Jun →
inferno	12–12	0.02	10%	25 May →
train	8–13	-0.03	19%	24 May →
dust2	9–13	-0.05	15%	24 May →
inferno	5–13	0.00	18%	24 May →
nuke	6–13	-0.06	12%	22 May →