Timowoof — CS2 Stats

JP76561198030459472[U:1:70193744]Steam profile ↗✓ No bans

899Tracked matches37%Win rate2020Tracked since

2,436Hours in CS1Hrs last 2 wks

CSDB Rating5.5 SolidAggressive Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim77

Positioning46

Utility44

0–100 skill scores via Leetify.

Recent form

COLD41–46–13Last 10041%Win rateLWTWLLLLLT

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

Player DNA

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

Aim7.7

Aggression8.3

Utility4.4

Positioning4.6

Opening Duels2.8

Clutch0.0

Limited utility dependence

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 86% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 31 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.

Reaction time. 564ms 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

Aim7.7

Positioning4.6

Utility4.4

Mechanics8.3

Opening Duels2.8

Win Impact0.7

Composite 5.5/10 (Solid), 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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time562ms−39ms

first ⅓ avg 601ms → last ⅓ avg 562ms

Headshot accuracy22.3%−2.1%

first ⅓ avg 24.4% → last ⅓ avg 22.3%

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

0.20Best rating — alpine 3–0

13–2Biggest win — cache

6Longest win streak

4–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 62% over 13anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	23	8–15	35%	0.00
dust2	A	13	8–5	62%	0.01
mirage	B	13	7–6	54%	0.00
inferno	D	10	3–7	30%	-0.03
nuke	C	8	3–5	38%	0.01
anubis	D	7	2–5	29%	0.01
ancient	D	6	2–4	33%	-0.02
train	—	4	0–4	0%	-0.03
boulder	—	2	0–2	0%	0.01
vertigo	—	2	1–1	50%	0.07
overpass	—	2	2–0	100%	-0.02
alpine	—	2	1–1	50%	0.07
agency	—	2	1–1	50%	-0.05
shelter	—	1	0–1	0%	0.03
fachwerk	—	1	0–1	0%	-0.03
poseidon	—	1	1–0	100%	0.10
stronghold	—	1	1–0	100%	-0.01
golden	—	1	1–0	100%	0.09
grail	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

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

Lifetime stats

59,366Lifetime kills

0.94K/D

3,887Matches

42.2%Match win rate

47.7%Headshot % · Top 50% of tracked players

11.3%Shot accuracy

7,259MVPs

1,251Hours (in match)

4,204Bombs planted

931Bombs defused

Most-used weapons

AK-4713,955

M4A4 / M4A1-S6,527

AWP5,683

Desert Eagle5,009

P2000 / USP-S3,508

SSG 083,236

SCAR-203,222

Knife2,739

Glock-182,636

P901,325

Lifetime map wins

4,075dust2

3,241inferno

1,833nuke

1,089vertigo

822train

418cbble

275lake

259office

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

Faceit stats

Combat

25Matches

52%Win rate

1.02Avg K/D

77.5ADR

41%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	1	100%	2.71	19.0
Vertigo	1	100%	0.60	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.

21.9%Headshot accuracy

33.7%Accuracy (enemy spotted)

33.0%Spray accuracy

87.5%Counter-strafing

9.9°Preaim

564msReaction time

39.4%T opening success

42.6%CT opening success

0.55Enemies flashed / flash

6.0%Flash assists

11.67HE damage / grenade

3.26Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.263 — below the 4 mark we flag
Grenade Lineups →
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 39.4195% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	2–13	-0.11	17%	16 Aug →
cache	13–8	-0.04	14%	15 Aug →
dust2	12–12	-0.03	12%	15 Aug →
dust2	13–8	-0.03	19%	30 Jul →
train	3–13	-0.01	14%	25 Jul →
mirage	6–13	-0.03	14%	13 Jul →
boulder	6–13	0.03	24%	13 Jul →
shelter	9–13	0.03	18%	9 Jul →
boulder	7–13	-0.02	22%	9 Jul →
cache	12–12	-0.04	32%	9 Jul →
cache	8–13	0.04	42%	9 Jul →
fachwerk	11–13	-0.03	21%	9 Jul →
mirage	4–13	0.03	19%	9 Jul →
cache	8–13	0.04	34%	8 Jul →
dust2	9–13	-0.07	21%	8 Jul →
dust2	7–2	0.07	25%	8 Jul →
cache	13–2	-0.03	21%	7 Jul →
mirage	13–2	-0.02	25%	7 Jul →
dust2	13–10	0.03	22%	7 Jul →
cache	9–13	0.04	20%	7 Jul →
cache	13–5	0.05	30%	2 Jul →
ancient	6–13	-0.09	24%	27 Jun →
dust2	3–13	-0.07	25%	24 Jun →
cache	11–13	0.06	33%	24 Jun →
inferno	13–11	0.02	19%	23 Jun →
anubis	13–8	0.02	20%	14 Jun →
inferno	4–13	-0.09	11%	14 Jun →
cache	12–12	-0.01	14%	14 Jun →
inferno	13–11	-0.03	32%	13 Jun →
vertigo	11–13	0.02	11%	5 Jun →
cache	12–12	0.00	20%	4 Jun →
cache	13–10	0.03	42%	4 Jun →
inferno	8–13	-0.02	20%	26 May →
dust2	6–2	0.04	24%	26 May →
cache	13–8	0.06	18%	25 May →
cache	13–10	0.15	28%	22 May →
inferno	7–13	-0.04	33%	22 May →
mirage	13–9	0.02	20%	19 May →
cache	3–13	-0.08	36%	18 May →
mirage	4–13	0.04	38%	9 May →
cache	1–13	-0.05	47%	9 May →
cache	1–13	-0.03	24%	6 May →
cache	7–13	-0.08	50%	6 May →
mirage	4–5	-0.02	33%	6 May →
cache	12–12	0.00	23%	6 May →
cache	13–10	0.00	28%	6 May →
cache	13–8	-0.02	22%	30 Apr →
cache	4–13	-0.00	38%	29 Apr →
cache	10–13	-0.01	29%	29 Apr →
cache	12–12	-0.00	30%	29 Apr →
mirage	3–13	-0.02	19%	15 Feb →
inferno	8–13	-0.04	6%	15 Feb →
mirage	3–13	-0.08	19%	15 Feb →
anubis	9–13	-0.02	48%	15 Feb →
inferno	13–2	0.00	42%	15 Feb →
anubis	13–7	0.06	10%	14 Feb →
nuke	13–8	-0.05	18%	13 Feb →
ancient	16–13	-0.06	30%	10 Feb →
mirage	13–5	-0.04	29%	10 Feb →
nuke	13–8	-0.01	24%	10 Feb →
ancient	12–12	-0.02	11%	9 Feb →
anubis	5–13	-0.04	14%	9 Feb →
inferno	9–13	0.06	29%	8 Feb →
nuke	13–6	0.03	10%	4 Feb →
inferno	2–9	-0.14	19%	3 Feb →
mirage	13–8	0.07	25%	3 Feb →
train	8–13	-0.08	4%	3 Feb →
mirage	13–9	-0.04	35%	2 Feb →
overpass	13–10	-0.04	26%	2 Feb →
mirage	13–4	0.05	18%	2 Feb →
nuke	1–8	0.07	31%	2 Feb →
overpass	13–10	0.00	29%	1 Feb →
poseidon	9–7	0.10	39%	29 Jan →
nuke	8–8	-0.01	4%	29 Jan →
train	2–13	-0.01	18%	28 Jan →
stronghold	13–9	-0.01	24%	28 Jan →
anubis	12–12	0.06	20%	28 Jan →
dust2	13–6	0.08	30%	28 Jan →
anubis	7–13	-0.01	38%	26 Jan →
alpine	3–0	0.20	50%	26 Jan →
inferno	4–13	-0.07	31%	25 Jan →
ancient	11–13	-0.05	30%	25 Jan →
nuke	12–12	0.06	44%	23 Jan →
mirage	13–5	0.04	17%	22 Jan →
alpine	2–13	-0.05	0%	22 Jan →
anubis	4–13	0.01	21%	22 Jan →
dust2	13–7	0.01	22%	7 Jan →
train	7–13	-0.02	10%	3 Jan →
dust2	13–10	0.07	26%	2 Jan →
nuke	12–12	0.09	19%	2 Jan →
vertigo	13–7	0.12	22%	1 Jan →
golden	13–5	0.09	25%	1 Jan →
ancient	12–12	-0.01	24%	23 Dec →
dust2	13–8	-0.02	21%	20 Dec →
dust2	12–12	0.04	22%	14 Dec →
ancient	13–10	0.10	16%	14 Dec →
dust2	4–13	-0.05	11%	26 Oct →
grail	11–13	0.02	23%	6 Sept →
agency	11–13	-0.07	40%	12 Aug →
agency	13–11	-0.03	20%	7 Aug →