Yoshi — CS2 Stats

AT76561198044413806[U:1:84148078]Steam profile ↗✓ No bans

1,259Tracked matches41%Win rate2020Tracked since

4,548Hours in CS18Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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	44.5%	46.2%	47.2%	2.7% short
Shot accuracy	13.7%	12.5%	12.3%	above
Kill/death ratio	0.86	1.06	1.07	0.21 short
Match win rate	47.1%	45.9%	46.3%	meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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

Aim72

Positioning45

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLLLLWWWLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.2

Aggression4.9

Utility5.6

Positioning4.5

Opening Duels0.6

Clutch3.0

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 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 650ms 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

Aim7.2

Positioning4.5

Utility5.6

Mechanics7.5

Opening Duels1.0

Win Impact2.1

Composite 5.3/10 (Developing), 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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time657ms−29ms

first ⅓ avg 686ms → last ⅓ avg 657ms

Headshot accuracy18.8%−4.8%

first ⅓ avg 23.6% → last ⅓ avg 18.8%

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.

Highlights

0.11Best rating — anubis 13–3

13–0Biggest win — cache

3Longest win streak

L4Current streak

9–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 67% over 12ancientWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	26	10–16	38%	-0.01
ancient	D	21	7–14	33%	-0.01
anubis	S	12	8–4	67%	0.01
cache	B	10	5–5	50%	-0.01
dust2	C	9	4–5	44%	-0.00
overpass	A	9	5–4	56%	-0.00
inferno	C	7	3–4	43%	0.01
nuke	S	6	4–2	67%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,644Lifetime kills

0.86K/D

4,904Matches

47.1%Match win rate · Top 50% of Level 7 players

44.5%Headshot %

13.7%Shot accuracy · Top 50% of Level 7 players

9,376MVPs

2,133Hours (in match)

4,640Bombs planted

1,338Bombs defused

Most-used weapons

AK-4722,092

M4A4 / M4A1-S14,100

AWP12,966

P2000 / USP-S5,386

Desert Eagle5,100

Glock-184,142

MAC-103,935

MP92,855

Galil AR2,353

FAMAS1,836

Lifetime map wins

27,535dust2

4,956inferno

2,766nuke

2,093vertigo

479train

40cbble

30lake

27italy

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

Faceit stats

Combat

1,075Matches

51%Win rate

0.99Avg K/D

69.9ADR

43%Headshot %

Clutches & streaks

35%1v1 clutch win

23%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	133	46%	0.99	14.1
Anubis	51	45%	0.96	13.5
Ancient	46	50%	0.84	13.3
Inferno	36	67%	0.96	14.2
Nuke	29	48%	0.97	14.6
Vertigo	29	41%	0.84	13.5
Dust2	25	76%	1.12	15.6
Cache	21	43%	0.75	13.1

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.

18.7%Headshot accuracy

35.0%Accuracy (enemy spotted)

40.1%Spray accuracy

83.9%Counter-strafing

9.4°Preaim

650msReaction time

27.1%T opening success

38.0%CT opening success

0.48Enemies flashed / flash

9.4%Flash assists

10.59HE damage / grenade

10.01Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4751 — below the 0.5 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 27.0531% — below the 40% mark we flag

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.

33% win rate across 21 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
mirage	10–13	0.01	26%	28 Aug →
anubis	5–13	-0.03	21%	28 Aug →
ancient	10–13	0.02	18%	24 Aug →
cache	6–13	-0.02	52%	24 Aug →
dust2	13–9	-0.00	11%	29 Jul →
mirage	13–8	0.01	20%	29 Jul →
nuke	13–8	0.05	28%	29 Jul →
mirage	5–13	-0.09	31%	20 Jul →
cache	6–4	-0.04	0%	20 Jul →
inferno	11–13	-0.01	16%	19 Jul →
dust2	11–13	-0.01	10%	19 Jul →
dust2	4–13	0.01	18%	19 Jul →
mirage	3–13	-0.09	4%	18 Jul →
cache	13–6	0.06	43%	18 Jul →
anubis	13–4	0.00	17%	18 Jul →
mirage	13–7	0.02	24%	18 Jul →
cache	10–13	-0.05	9%	18 Jul →
inferno	8–13	-0.04	18%	18 Jul →
ancient	15–15	0.01	12%	15 Jul →
ancient	13–9	0.05	17%	15 Jul →
ancient	13–7	0.01	13%	15 Jul →
ancient	8–13	-0.06	11%	15 Jul →
ancient	13–16	-0.04	14%	2 Jul →
mirage	13–8	0.01	27%	27 Jun →
ancient	1–13	0.03	18%	27 Jun →
dust2	9–13	-0.05	29%	21 Jun →
ancient	9–13	-0.04	13%	19 Jun →
mirage	7–13	-0.08	6%	19 Jun →
anubis	13–8	0.01	18%	18 Jun →
dust2	13–10	0.05	21%	18 Jun →
ancient	7–13	-0.08	22%	16 Jun →
dust2	15–15	-0.01	27%	16 Jun →
overpass	13–11	0.00	10%	16 Jun →
dust2	16–14	-0.06	7%	14 Jun →
dust2	8–13	-0.01	12%	13 Jun →
dust2	13–4	0.08	28%	13 Jun →
ancient	9–13	-0.02	20%	13 Jun →
overpass	13–6	0.06	21%	12 Jun →
mirage	11–13	0.05	14%	12 Jun →
overpass	17–19	-0.07	11%	10 Jun →
anubis	16–14	-0.01	21%	10 Jun →
mirage	13–9	0.01	16%	10 Jun →
mirage	13–10	-0.00	13%	9 Jun →
mirage	10–13	-0.03	11%	9 Jun →
mirage	3–13	-0.08	26%	9 Jun →
ancient	6–13	0.06	22%	9 Jun →
mirage	13–8	0.02	24%	8 Jun →
overpass	15–15	-0.02	15%	5 Jun →
mirage	8–13	0.01	28%	5 Jun →
overpass	13–2	0.01	17%	5 Jun →
ancient	13–16	-0.07	24%	4 Jun →
anubis	7–13	-0.03	26%	1 Jun →
mirage	11–13	0.04	23%	1 Jun →
overpass	9–13	0.08	18%	31 May →
mirage	13–11	-0.06	13%	24 May →
anubis	13–5	0.03	21%	21 May →
overpass	10–13	-0.00	13%	21 May →
mirage	13–5	0.00	19%	20 May →
mirage	11–13	-0.05	11%	13 May →
cache	4–13	-0.03	33%	9 May →
cache	13–0	-0.01	14%	9 May →
cache	6–13	0.04	26%	9 May →
nuke	13–11	-0.01	15%	9 May →
cache	16–12	-0.01	22%	4 May →
anubis	22–18	0.02	17%	3 May →
cache	8–13	-0.02	13%	3 May →
anubis	13–9	0.00	11%	3 May →
cache	13–10	0.02	21%	30 Apr →
ancient	5–13	-0.07	10%	27 Apr →
anubis	10–13	-0.04	18%	27 Apr →
nuke	13–3	0.10	48%	26 Apr →
inferno	2–13	-0.05	16%	25 Apr →
ancient	14–16	-0.04	32%	25 Apr →
nuke	6–13	0.04	32%	25 Apr →
mirage	13–7	-0.00	9%	25 Apr →
mirage	13–9	-0.01	33%	25 Apr →
ancient	10–13	-0.02	18%	25 Apr →
anubis	13–9	0.08	33%	24 Apr →
mirage	11–13	-0.02	24%	24 Apr →
mirage	4–13	0.01	29%	24 Apr →
nuke	13–5	0.02	25%	22 Apr →
inferno	13–11	0.01	21%	22 Apr →
nuke	10–13	-0.03	18%	22 Apr →
ancient	13–2	-0.04	20%	22 Apr →
inferno	13–16	0.02	13%	22 Apr →
ancient	13–6	0.01	13%	21 Apr →
mirage	8–13	0.03	26%	21 Apr →
overpass	13–5	-0.04	65%	21 Apr →
ancient	13–9	-0.02	16%	21 Apr →
mirage	13–16	0.01	28%	21 Apr →
anubis	15–15	0.02	15%	20 Apr →
ancient	13–2	0.08	35%	20 Apr →
mirage	7–13	-0.05	20%	19 Apr →
inferno	13–7	0.10	22%	19 Apr →
overpass	13–11	-0.04	16%	19 Apr →
ancient	4–13	-0.03	8%	19 Apr →
mirage	9–13	0.03	22%	19 Apr →
anubis	13–3	0.11	15%	18 Apr →
inferno	13–2	0.02	36%	18 Apr →
ancient	13–11	-0.00	22%	16 Apr →