yukimaster — CS2 Stats

EE76561199048447375[U:1:1088181647]Steam profile ↗✓ No bans

342Tracked matches28%Win rate2020Tracked since

1,756Hours in CS18Hrs last 2 wks

CSDB Rating5.7 SolidPositional Player

CSDB Leaderboard#52266 of 259546 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

22,546Peak Premier in tracked matches

50Days played since 2026-06-16

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=14,595), 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	42.1%	45.7%	46.8%	4.7% short
Shot accuracy	15.6%	12.7%	13.0%	above
Kill/death ratio	1.02	1.05	1.06	0.04 short
Match win rate	41.1%	45.7%	46.3%	5.2% short

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

Widest gap: Match win rate. 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

Aim82

Positioning56

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLWLWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.08 avg rating · +8.1pp headshot accuracy · +24ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.07
Avg headshot accuracy 29%
Avg reaction 547ms

Last 10

5–5 · 50% win rate
Avg rating 0.05
Avg headshot accuracy 29%
Avg reaction 546ms

Last 20

7–11–2 · 35% win rate
Avg rating 0.01
Avg headshot accuracy 25%
Avg reaction 534ms

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 (+1.3 against its own average).

Aim8.2

Utility4.2

Positioning5.6

Opening Duels3.3

Clutch4.0

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.

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 sh1ro 95% 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 →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.2

Positioning5.6

Utility4.2

Mechanics7.1

Opening Duels4.1

Win Impact0.0

Composite 5.7/10 (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-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time544ms−12ms

first ⅓ avg 556ms → last ⅓ avg 544ms

Headshot accuracy23.5%+2.9%

first ⅓ avg 20.6% → last ⅓ avg 23.5%

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

0.22Best match rating · 13–7 · nuke, 1 Nov →

48%Best headshot accuracy · 3–13 · vertigo, 20 Sept →

375msFastest reaction time · 13–1 · anubis, 20 Jul →

13–0Biggest win · inferno, 5 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L2Current streak

5–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 59% over 34infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	34	20–14	59%	-0.00
cache	C	25	10–15	40%	0.03
inferno	D	9	2–7	22%	-0.10
nuke	B	8	4–4	50%	0.02
anubis	A	7	4–3	57%	-0.03
ancient	C	7	3–4	43%	-0.05
dust2	C	5	2–3	40%	-0.06
vertigo	—	3	0–3	0%	-0.05
train	—	1	0–1	0%	0.10
overpass	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,398Lifetime kills

1.02K/D

3,101Matches

41.1%Match win rate

42.1%Headshot %

15.6%Shot accuracy · Top 50% of Level 7 players

6,614MVPs

941Hours (in match)

1,362Bombs planted

520Bombs defused

Most-used weapons

AK-4715,101

AWP12,518

M4A4 / M4A1-S7,510

Desert Eagle4,228

P2000 / USP-S2,338

Glock-182,056

G3SG11,424

Galil AR1,323

SSG 081,305

SG 5531,107

Lifetime map wins

2,758inferno

1,295vertigo

1,240dust2

908nuke

679train

336lake

277bank

247safehouse

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

Faceit stats

Combat

128Matches

57%Win rate

1.36Avg K/D

79.5ADR

48%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	62%	1.25	17.6
Cache	13	69%	1.39	15.1
Ancient	8	50%	1.02	15.0
Dust2	5	60%	0.98	14.2
Anubis	4	50%	0.97	13.8
Inferno	3	67%	1.28	14.7
Nuke	3	0%	1.24	20.0
Vertigo	3	33%	1.25	16.0

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.

23.3%Headshot accuracy

32.9%Accuracy (enemy spotted)

38.1%Spray accuracy

81.8%Counter-strafing

8.3°Preaim

547msReaction time

45.3%T opening success

47.6%CT opening success

0.65Enemies flashed / flash

9.1%Flash assists

10.80HE damage / grenade

4.82Flashes / match

Recommended for you

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	6–13	0.07	34%	2 Nov →
mirage	11–13	0.03	20%	1 Nov →
nuke	13–7	0.22	29%	1 Nov →
mirage	9–13	-0.01	25%	29 Oct →
cache	13–5	0.02	35%	29 Oct →
nuke	13–10	0.10	33%	29 Oct →
anubis	11–13	-0.02	37%	29 Oct →
cache	11–13	0.04	28%	28 Oct →
mirage	13–6	0.07	19%	28 Oct →
cache	13–10	0.03	26%	23 Oct →
inferno	3–9	-0.07	27%	21 Oct →
mirage	13–8	-0.08	23%	19 Oct →
inferno	8–8	-0.07	30%	19 Oct →
ancient	8–13	-0.03	30%	18 Oct →
cache	6–13	-0.05	17%	16 Oct →
inferno	9–6	-0.06	15%	15 Oct →
mirage	11–13	-0.01	23%	13 Oct →
anubis	12–12	-0.01	10%	8 Oct →
train	10–13	0.10	15%	8 Oct →
mirage	8–13	0.01	15%	8 Oct →
nuke	9–3	0.20	15%	7 Oct →
mirage	7–13	0.07	17%	7 Oct →
dust2	1–13	-0.09	43%	5 Oct →
overpass	7–13	-0.08	20%	5 Oct →
inferno	13–0	-0.00	4%	5 Oct →
ancient	7–13	-0.10	26%	3 Oct →
cache	10–13	-0.05	14%	20 Sept →
inferno	5–13	-0.08	31%	20 Sept →
dust2	3–13	-0.04	5%	20 Sept →
vertigo	3–13	-0.03	48%	20 Sept →
ancient	13–2	-0.10	27%	19 Sept →
ancient	3–13	-0.06	20%	18 Sept →
vertigo	1–13	-0.06	13%	18 Sept →
inferno	0–9	-0.25	0%	17 Sept →
mirage	3–13	-0.09	8%	17 Sept →
nuke	3–13	-0.11	15%	16 Sept →
mirage	11–13	-0.02	16%	5 Sept →
cache	13–3	0.02	37%	3 Sept →
vertigo	5–13	-0.07	10%	3 Sept →
cache	13–5	0.11	25%	1 Sept →
mirage	13–10	-0.00	19%	31 Aug →
mirage	3–13	0.01	30%	29 Aug →
mirage	6–2	0.02	33%	28 Aug →
mirage	13–10	0.01	19%	26 Aug →
cache	11–13	0.02	38%	26 Aug →
cache	12–12	-0.03	21%	23 Aug →
mirage	13–5	0.04	28%	23 Aug →
inferno	11–13	-0.04	21%	16 Aug →
cache	11–13	-0.04	23%	10 Aug →
anubis	7–13	-0.10	18%	2 Aug →
mirage	2–13	-0.11	11%	2 Aug →
dust2	11–10	-0.06	35%	2 Aug →
ancient	13–7	0.03	15%	2 Aug →
mirage	13–6	-0.04	13%	2 Aug →
anubis	13–11	-0.06	14%	2 Aug →
anubis	13–2	-0.02	24%	2 Aug →
nuke	13–9	-0.02	29%	2 Aug →
cache	13–0	0.08	21%	2 Aug →
ancient	13–10	-0.02	25%	31 Jul →
anubis	13–10	-0.01	15%	31 Jul →
inferno	9–13	-0.08	33%	30 Jul →
ancient	9–13	-0.07	6%	30 Jul →
mirage	6–13	-0.05	37%	30 Jul →
mirage	16–14	0.05	11%	28 Jul →
mirage	13–2	0.00	14%	28 Jul →
nuke	8–13	-0.02	21%	28 Jul →
mirage	7–13	-0.04	35%	27 Jul →
mirage	16–13	-0.02	43%	27 Jul →
cache	8–13	0.07	16%	24 Jul →
mirage	16–12	-0.00	21%	23 Jul →
dust2	1–7	-0.09	0%	23 Jul →
mirage	0–13	-0.02	0%	20 Jul →
mirage	13–3	-0.02	44%	20 Jul →
anubis	13–1	-0.02	6%	20 Jul →
cache	9–13	0.02	22%	18 Jul →
mirage	13–4	0.00	28%	18 Jul →
cache	13–2	0.01	9%	18 Jul →
mirage	13–7	0.02	26%	18 Jul →
mirage	13–11	-0.00	21%	17 Jul →
cache	13–1	0.07	27%	17 Jul →
mirage	13–6	0.06	35%	15 Jul →
inferno	0–9	-0.25	0%	15 Jul →
nuke	0–9	-0.26	0%	15 Jul →
cache	10–13	-0.00	18%	15 Jul →
mirage	13–10	0.11	16%	15 Jul →
cache	11–13	0.11	24%	14 Jul →
mirage	13–4	0.03	17%	14 Jul →
cache	10–13	0.12	24%	14 Jul →
cache	13–10	0.02	26%	7 Jul →
cache	9–13	0.06	21%	7 Jul →
cache	13–1	-0.01	14%	7 Jul →
cache	7–13	0.01	42%	29 Jun →
mirage	13–9	0.10	39%	28 Jun →
mirage	3–13	-0.13	18%	20 Jun →
cache	13–6	0.11	28%	19 Jun →
cache	11–13	-0.02	18%	18 Jun →
mirage	9–13	-0.09	13%	17 Jun →
dust2	13–0	-0.00	18%	17 Jun →
mirage	13–11	0.06	25%	17 Jun →
cache	4–13	-0.05	19%	16 Jun →