T0ufu — CS2 Stats

US76561198393510896[U:1:433245168]Steam profile ↗✓ No bans

1,933Tracked matches82%Win rate2020Tracked since

4,811Hours in CS11Hrs last 2 wks

CSDB Rating7.0 StrongSupport

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,933

+3.6ppWin rate · 78.6% → 82.1%

Rating over time

45Days played since 2026-01-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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	48.2%	50.9%
Shot accuracy	15.9%	13.7%
Kill/death ratio	1.04	1.09
Match win rate	55.1%	48.4%

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Performance scores

Aim81

Positioning58

Utility63

0–100 skill scores via Leetify.

Recent form

HOT70–23–7Last 10070%Win rateWWWTWWWWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +2.2pp headshot accuracy · −47ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–0–1 · 80% win rate
Avg rating 0.05
Avg headshot accuracy 16%
Avg reaction 442ms

Last 10

8–1–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 15%
Avg reaction 492ms

Last 20

16–2–2 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 14%
Avg reaction 515ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim8.1

Utility6.3

Positioning5.8

Opening Duels4.1

Strong 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

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

Areas to improve

T-side openings. Opening success drops from 61% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1

Positioning5.8

Utility6.3

Mechanics6.7

Opening Duels4.3

Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time538ms−38ms

first ⅓ avg 576ms → last ⅓ avg 538ms

Headshot accuracy14.8%−2.5%

first ⅓ avg 17.3% → last ⅓ avg 14.8%

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.

Personal bests

0.17Best match rating · 13–1 · inferno, 25 May →

33%Best headshot accuracy · 7–13 · dust2, 18 Apr →

398msFastest reaction time · 13–5 · nuke, 17 Aug →

13–0Biggest win · inferno, 25 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W3Current streak

7–2In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 100% over 11dust2Weakest map · 56% over 43

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	43	24–19	56%	0.01
inferno	S	19	13–6	68%	0.05
mirage	S	12	11–1	92%	0.03
cache	S	11	11–0	100%	0.05
ancient	S	7	5–2	71%	-0.00
anubis	—	3	2–1	67%	0.05
nuke	—	2	2–0	100%	0.08
vertigo	—	2	1–1	50%	-0.03
overpass	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (56% over 43). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

245,291Lifetime kills

1.04K/D

6,798Matches

55.1%Match win rate · Top 10% of Level 10 players

48.2%Headshot %

15.9%Shot accuracy · Top 50% of Level 10 players

26,990MVPs

13,906Hours (in match)

5,109Bombs planted

2,443Bombs defused

Most-used weapons

AK-47108,389

M4A4 / M4A1-S41,448

AWP35,750

P2000 / USP-S12,906

Desert Eagle9,495

Glock-186,236

MP94,691

AUG3,570

Galil AR3,440

SG 5532,664

Lifetime map wins

16,078inferno

10,737dust2

2,490vertigo

2,423nuke

1,500train

332cbble

192office

31lake

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

Faceit stats

Combat

328Matches

60%Win rate

1.06Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	44%	1.00	11.9
Ancient	14	57%	1.15	12.7
Anubis	8	50%	1.25	14.9
Vertigo	6	67%	1.02	14.2
Inferno	5	80%	1.12	16.2
Nuke	1	0%	0.77	10.0

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.

14.3%Headshot accuracy

40.0%Accuracy (enemy spotted)

43.0%Spray accuracy

80.2%Counter-strafing

9.1°Preaim

542msReaction time

32.8%T opening success

61.3%CT opening success

0.52Enemies flashed / flash

8.2%Flash assists

5.31HE damage / grenade

17.39Flashes / 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 14.2571% — below the 15% mark we flag
Aim Training →
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 32.7675% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–3	0.02	18%	9 Nov →
cache	13–4	0.10	19%	9 Nov →
dust2	13–6	0.02	6%	3 Nov →
dust2	12–12	0.04	17%	17 Aug →
nuke	13–5	0.09	20%	17 Aug →
cache	13–2	0.08	20%	16 Aug →
inferno	13–3	0.06	17%	9 Aug →
mirage	13–10	0.00	8%	9 Aug →
inferno	7–13	-0.04	14%	2 Aug →
dust2	13–11	0.03	16%	23 Jul →
nuke	13–4	0.06	10%	23 Jul →
mirage	13–7	0.08	17%	21 Jul →
dust2	13–7	0.03	17%	9 Jul →
dust2	2–13	0.02	18%	7 Jul →
dust2	12–12	0.00	14%	6 Jul →
inferno	13–6	0.12	19%	30 Jun →
dust2	13–4	-0.01	6%	30 Jun →
dust2	13–11	-0.03	7%	29 Jun →
inferno	13–8	0.07	18%	22 Jun →
dust2	13–9	0.04	6%	22 Jun →
dust2	5–13	-0.02	10%	22 Jun →
dust2	13–9	0.03	4%	17 Jun →
dust2	13–11	-0.03	18%	17 Jun →
cache	13–7	-0.01	26%	14 Jun →
dust2	13–7	0.05	9%	14 Jun →
mirage	13–6	0.04	15%	14 Jun →
dust2	10–13	-0.01	9%	12 Jun →
inferno	13–3	0.09	23%	12 Jun →
ancient	13–7	0.02	17%	10 Jun →
dust2	3–13	0.02	19%	10 Jun →
mirage	13–8	0.09	23%	10 Jun →
dust2	13–4	0.03	19%	10 Jun →
dust2	8–13	-0.05	12%	9 Jun →
ancient	12–12	0.01	6%	8 Jun →
anubis	13–3	0.07	14%	8 Jun →
dust2	13–1	0.06	12%	8 Jun →
ancient	13–5	0.00	17%	6 Jun →
dust2	13–4	0.08	14%	6 Jun →
inferno	8–13	-0.01	15%	3 Jun →
vertigo	13–4	0.01	16%	3 Jun →
ancient	13–7	-0.02	2%	3 Jun →
inferno	13–2	-0.04	2%	2 Jun →
mirage	13–1	-0.01	26%	2 Jun →
dust2	13–1	0.10	7%	2 Jun →
anubis	9–13	0.05	31%	27 May →
cache	13–6	0.08	15%	27 May →
dust2	8–13	-0.06	30%	27 May →
inferno	12–12	0.06	15%	27 May →
inferno	13–1	0.17	15%	25 May →
dust2	4–13	0.09	12%	25 May →
dust2	6–13	0.04	17%	25 May →
inferno	13–9	0.06	9%	25 May →
mirage	13–11	0.01	11%	25 May →
inferno	13–2	0.02	29%	20 May →
dust2	13–11	0.06	17%	20 May →
cache	13–6	-0.00	21%	20 May →
inferno	4–13	0.02	22%	18 May →
dust2	12–12	-0.03	11%	14 May →
cache	13–5	0.03	14%	12 May →
dust2	13–8	0.03	15%	12 May →
cache	13–2	0.06	24%	11 May →
cache	13–9	-0.05	17%	10 May →
dust2	13–3	0.06	18%	10 May →
dust2	12–12	-0.03	14%	6 May →
inferno	5–13	0.01	25%	6 May →
cache	13–2	0.02	13%	6 May →
dust2	12–12	-0.03	9%	6 May →
dust2	13–7	0.03	20%	29 Apr →
cache	13–5	0.07	27%	29 Apr →
cache	13–8	0.11	25%	29 Apr →
mirage	13–6	0.03	14%	28 Apr →
dust2	13–10	0.02	12%	28 Apr →
inferno	13–5	0.08	18%	28 Apr →
mirage	13–2	0.12	13%	23 Apr →
dust2	9–13	0.01	21%	23 Apr →
dust2	13–1	0.08	15%	22 Apr →
mirage	4–13	-0.04	9%	22 Apr →
inferno	10–13	-0.06	13%	20 Apr →
ancient	13–10	-0.03	12%	20 Apr →
anubis	13–5	0.02	11%	19 Apr →
ancient	1–13	-0.01	15%	19 Apr →
mirage	13–2	0.04	12%	19 Apr →
dust2	13–10	-0.01	18%	19 Apr →
ancient	13–9	0.01	16%	19 Apr →
inferno	13–6	0.09	16%	18 Apr →
dust2	7–13	-0.09	33%	18 Apr →
dust2	5–13	-0.05	14%	18 Apr →
overpass	13–10	-0.00	20%	1 Apr →
dust2	11–13	0.01	19%	1 Apr →
dust2	13–4	0.01	18%	1 Apr →
mirage	13–11	-0.03	10%	25 Mar →
dust2	13–8	0.01	21%	25 Mar →
dust2	9–13	0.03	15%	25 Mar →
mirage	13–7	0.01	20%	25 Mar →
dust2	13–11	-0.02	15%	22 Mar →
dust2	11–13	0.02	13%	12 Mar →
dust2	13–4	0.03	27%	12 Mar →
vertigo	7–13	-0.06	7%	25 Feb →
inferno	13–0	0.10	30%	25 Feb →
inferno	13–10	0.09	24%	31 Jan →