TOCHIAK1 — CS2 Stats

76561199439309437[U:1:1479043709]Steam profile ↗✓ No bans

1,246Tracked matches63%Win rate2025Tracked since

2,817Hours in CS110Hrs last 2 wks

CSDB Rating7.0 StrongPositional Player

Premier CS Rating24,290Top 25% of 204,219 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)

CSDB Leaderboard#28647 of 251341 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,290 +5,218 27 Aug – 10 Oct · 25 days played

24,547Peak Premier in tracked matches

32Days played since 2026-08-27

Premier CS Rating

186 below peak (24,476)
+3,838 over 30 days · improving
Next: Red band at 25,000 — 710 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,885), 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 7 median	Level 8 median	vs Level 8
Headshot rate	40.6%	45.7%	46.8%	6.2% short
Shot accuracy	0.0%	12.7%	13.0%	13.0% short
Kill/death ratio	0.89	1.05	1.06	0.17 short
Match win rate	48.0%	45.7%	46.3%	above

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim73

Positioning66

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateLWWWLWLWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.7pp headshot accuracy · +18ms reaction

Win rate +10pp 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

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 10%
Avg reaction 549ms

Last 10

6–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 535ms

Last 20

11–9 · 55% win rate
Avg rating -0.00
Avg headshot accuracy 11%
Avg reaction 526ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim7.3

Utility6.5

Positioning6.6

Opening Duels3.7

Clutch4.8

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 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.3

Positioning6.6

Utility6.5

Mechanics6.1

Opening Duels5.7

Win Impact9.4

Composite 7.0/10 (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 rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time532ms−19ms

first ⅓ avg 550ms → last ⅓ avg 532ms

Headshot accuracy12.0%−0.8%

first ⅓ avg 12.9% → last ⅓ avg 12.0%

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

0.10Best match rating · 13–4 · nuke, 19 Sept →

22%Best headshot accuracy · 7–13 · nuke, 7 Sept →

352msFastest reaction time · 10–13 · inferno, 20 Sept →

13–2Biggest win · nuke, 28 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

9–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 77% over 22mirageWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	22	17–5	77%	-0.00
dust2	B	19	10–9	53%	-0.01
anubis	S	14	10–4	71%	-0.00
inferno	C	14	6–8	43%	0.00
ancient	A	11	6–5	55%	-0.01
nuke	S	10	7–3	70%	0.01
mirage	C	10	4–6	40%	0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,629Lifetime kills

0.89K/D

2,762Matches

48.0%Match win rate · Top 50% of Level 7 players

40.6%Headshot %

0.0%Shot accuracy

5,712MVPs

1,097Hours (in match)

3,676Bombs planted

828Bombs defused

Most-used weapons

AK-4716,374

M4A4 / M4A1-S9,375

P2000 / USP-S2,620

Desert Eagle2,181

Glock-182,120

AWP1,834

Galil AR1,765

MP71,507

FAMAS766

MP9656

Lifetime map wins

8,913dust2

3,980inferno

2,160nuke

693train

163vertigo

9lake

6italy

4office

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

Faceit stats

Combat

299Matches

54%Win rate

0.93Avg K/D

72.8ADR

39%Headshot %

Clutches & streaks

44%1v1 clutch win

16%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	55	60%	0.99	14.2
Anubis	51	47%	0.90	14.5
Mirage	43	49%	0.91	13.1
Ancient	43	60%	0.91	14.3
Inferno	36	36%	0.78	12.3
Nuke	35	63%	0.95	14.7
Cache	26	62%	1.09	15.0
Vertigo	5	20%	1.00	14.6

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.

11.7%Headshot accuracy

38.0%Accuracy (enemy spotted)

42.8%Spray accuracy

77.3%Counter-strafing

10.3°Preaim

527msReaction time

55.6%T opening success

50.3%CT opening success

0.56Enemies flashed / flash

8.6%Flash assists

9.07HE damage / grenade

10.32Flashes / 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 11.7222% — below the 15% mark we flag
Aim Training →

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	6–13	-0.05	7%	11 Oct →
anubis	13–8	-0.00	9%	11 Oct →
inferno	13–4	0.05	12%	11 Oct →
dust2	13–10	-0.03	13%	11 Oct →
dust2	5–13	-0.10	12%	10 Oct →
nuke	13–6	-0.00	7%	10 Oct →
inferno	4–13	-0.04	13%	10 Oct →
inferno	16–13	0.05	11%	8 Oct →
cache	10–13	0.03	14%	8 Oct →
cache	13–9	0.00	20%	8 Oct →
dust2	13–4	0.02	8%	7 Oct →
dust2	13–10	-0.03	4%	6 Oct →
inferno	12–16	0.04	14%	5 Oct →
anubis	19–17	-0.02	11%	5 Oct →
mirage	13–8	0.02	11%	4 Oct →
dust2	10–13	0.01	13%	4 Oct →
dust2	5–13	0.03	15%	3 Oct →
mirage	13–11	-0.00	14%	3 Oct →
ancient	11–13	-0.03	8%	1 Oct →
inferno	10–13	-0.04	11%	1 Oct →
cache	13–9	-0.03	7%	1 Oct →
dust2	13–11	-0.00	19%	1 Oct →
dust2	11–13	-0.03	18%	30 Sept →
anubis	13–10	-0.00	13%	30 Sept →
cache	13–9	0.01	10%	30 Sept →
dust2	4–13	-0.07	2%	30 Sept →
cache	13–7	0.00	6%	30 Sept →
ancient	13–8	0.03	13%	30 Sept →
cache	13–6	-0.03	18%	30 Sept →
cache	13–10	0.04	15%	29 Sept →
nuke	9–13	-0.07	16%	29 Sept →
inferno	13–3	0.09	16%	29 Sept →
cache	13–4	-0.03	17%	29 Sept →
mirage	13–9	-0.02	14%	29 Sept →
inferno	13–4	-0.01	19%	27 Sept →
anubis	13–9	-0.02	15%	27 Sept →
nuke	13–4	0.08	14%	27 Sept →
dust2	13–8	0.02	11%	27 Sept →
mirage	8–13	0.02	8%	25 Sept →
cache	13–9	0.00	17%	25 Sept →
inferno	11–13	0.05	9%	25 Sept →
cache	13–9	0.02	14%	25 Sept →
mirage	4–13	-0.08	9%	24 Sept →
anubis	13–8	0.05	10%	24 Sept →
inferno	8–13	-0.01	13%	24 Sept →
anubis	13–7	-0.00	12%	23 Sept →
mirage	9–13	-0.00	8%	23 Sept →
nuke	13–7	-0.05	11%	23 Sept →
dust2	19–15	0.03	11%	21 Sept →
anubis	8–13	-0.05	9%	21 Sept →
inferno	10–13	-0.02	18%	20 Sept →
anubis	13–5	0.05	8%	20 Sept →
cache	6–13	-0.06	18%	20 Sept →
cache	13–4	0.02	17%	20 Sept →
inferno	4–13	0.01	15%	19 Sept →
nuke	13–4	0.10	15%	19 Sept →
dust2	13–11	-0.01	12%	19 Sept →
inferno	4–13	-0.07	7%	18 Sept →
ancient	5–13	-0.05	11%	15 Sept →
nuke	13–11	0.01	6%	15 Sept →
dust2	13–11	-0.02	13%	15 Sept →
mirage	11–13	-0.02	8%	15 Sept →
ancient	13–7	0.01	18%	15 Sept →
ancient	12–16	-0.07	11%	14 Sept →
dust2	5–13	0.02	14%	14 Sept →
cache	1–13	-0.01	12%	14 Sept →
mirage	13–11	0.01	17%	13 Sept →
nuke	11–13	-0.03	4%	13 Sept →
cache	13–10	-0.01	14%	13 Sept →
anubis	15–15	0.05	19%	13 Sept →
inferno	13–7	-0.05	16%	13 Sept →
ancient	13–7	0.04	11%	13 Sept →
dust2	13–16	-0.02	15%	11 Sept →
ancient	10–13	-0.04	16%	10 Sept →
dust2	11–13	-0.03	14%	10 Sept →
ancient	6–1	0.02	20%	10 Sept →
cache	16–14	-0.02	6%	10 Sept →
ancient	13–10	0.05	9%	10 Sept →
cache	13–9	-0.00	14%	9 Sept →
nuke	13–8	0.03	8%	9 Sept →
nuke	7–13	-0.01	22%	7 Sept →
dust2	8–13	-0.01	12%	7 Sept →
cache	13–7	-0.03	15%	6 Sept →
mirage	11–13	0.08	12%	6 Sept →
inferno	13–9	0.01	17%	6 Sept →
cache	13–5	-0.02	11%	6 Sept →
anubis	13–11	-0.06	4%	2 Sept →
cache	10–13	0.04	14%	30 Aug →
anubis	13–9	0.00	19%	30 Aug →
ancient	10–13	-0.05	9%	30 Aug →
dust2	13–5	-0.04	6%	29 Aug →
anubis	13–8	0.04	16%	29 Aug →
anubis	11–13	0.01	11%	29 Aug →
cache	13–3	0.04	10%	29 Aug →
cache	13–7	-0.00	11%	29 Aug →
anubis	6–13	-0.04	13%	28 Aug →
dust2	13–10	-0.02	16%	28 Aug →
nuke	13–2	0.06	13%	28 Aug →
ancient	13–5	-0.02	8%	28 Aug →
mirage	10–13	0.02	19%	27 Aug →