Master Yodarinio — CS2 Stats

IE76561198090154998[U:1:129889270]Steam profile ↗

1,274Tracked matches54%Win rate2021Tracked since

3,598Hours in CS7Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating24,043Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#5098 of 27454 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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	Pink band median	Red band median	vs Red band
Headshot rate	39.1%	47.2%	49.9%	10.8% short
Shot accuracy	13.3%	12.7%	13.4%	meets
Kill/death ratio	1.12	1.09	1.12	meets
Match win rate	37.3%	46.6%	48.4%	11.1% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim83

Positioning39

Utility74

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateWWLLLLWWWL

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

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

Aim8.3

Aggression5.4

Utility7.4

Positioning3.9

Opening Duels0.9

Clutch3.6

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 Twistzz 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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 44 points — deaths here waste a strong aim profile.

Reaction time. 566ms 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

Aim8.3

Positioning3.9

Utility7.4

Mechanics6.9

Opening Duels1.3

Win Impact6.2

Composite 6.3/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time564ms−34ms

first ⅓ avg 597ms → last ⅓ avg 564ms

Headshot accuracy13.1%−4.9%

first ⅓ avg 18.0% → last ⅓ avg 13.1%

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

0.18Best rating — dust2 13–1

13–1Biggest win — dust2

7Longest win streak

W2Current streak

9–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	66	33–33	50%	0.02
inferno	C	8	3–5	38%	-0.00
nuke	B	8	4–4	50%	0.03
anubis	A	8	5–3	63%	0.02
ancient	C	5	2–3	40%	-0.00
cache	S	5	4–1	80%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,008Lifetime kills

1.12K/D · Top 50% of Pink band

8,913Matches

37.3%Match win rate

39.1%Headshot %

13.3%Shot accuracy · Top 50% of Pink band

12,686MVPs

2,514Hours (in match)

2,066Bombs planted

1,485Bombs defused

Most-used weapons

AK-4746,174

M4A4 / M4A1-S31,800

AWP25,216

Desert Eagle16,097

SSG 0811,202

P907,426

P2000 / USP-S5,430

Glock-183,952

P2503,530

Nova3,397

Lifetime map wins

24,347dust2

4,785lake

3,730bank

3,579safehouse

3,006inferno

1,534nuke

1,032stmarc

899vertigo

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

Faceit stats

Combat

62Matches

61%Win rate

1.31Avg K/D

86.2ADR

36%Headshot %

Clutches & streaks

38%1v1 clutch win

42%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	50%	1.26	17.3
Anubis	3	67%	0.88	15.0
Ancient	3	67%	1.08	11.7
Dust2	3	100%	1.82	19.7
Nuke	1	0%	1.12	19.0

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.

13.3%Headshot accuracy

40.9%Accuracy (enemy spotted)

47.5%Spray accuracy

81.3%Counter-strafing

9.2°Preaim

566msReaction time

27.0%T opening success

40.3%CT opening success

0.69Enemies flashed / flash

12.4%Flash assists

11.82HE damage / grenade

9.87Flashes / 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 13.3206% — 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 27.0405% — below the 40% mark we flag

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.

38% win rate across 8 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
inferno	13–6	0.04	13%	24 Aug →
nuke	13–10	-0.00	11%	24 Aug →
dust2	4–13	-0.07	12%	24 Aug →
dust2	11–13	-0.06	14%	19 Aug →
dust2	4–13	-0.08	15%	19 Aug →
dust2	7–13	-0.06	13%	19 Aug →
dust2	13–7	0.00	11%	19 Aug →
dust2	13–6	0.11	13%	18 Aug →
dust2	13–6	0.11	14%	17 Aug →
dust2	10–13	-0.04	9%	17 Aug →
nuke	10–13	0.13	17%	12 Aug →
dust2	12–12	0.03	10%	12 Aug →
dust2	11–13	0.09	20%	12 Aug →
dust2	13–7	0.04	14%	12 Aug →
dust2	12–12	0.02	19%	10 Aug →
dust2	13–11	-0.01	16%	10 Aug →
ancient	13–11	0.01	16%	10 Aug →
dust2	13–7	0.08	17%	10 Aug →
dust2	7–13	-0.10	9%	10 Aug →
dust2	10–13	0.07	18%	10 Aug →
nuke	11–13	0.03	13%	10 Aug →
anubis	9–13	0.06	10%	9 Aug →
inferno	13–7	-0.03	7%	9 Aug →
dust2	13–6	0.07	19%	9 Aug →
anubis	13–6	0.01	12%	9 Aug →
inferno	10–13	-0.04	6%	9 Aug →
inferno	13–11	-0.05	17%	9 Aug →
dust2	13–11	-0.02	9%	3 Aug →
dust2	7–2	-0.08	14%	3 Aug →
dust2	9–13	0.02	12%	2 Aug →
anubis	8–13	-0.03	5%	2 Aug →
ancient	13–8	0.12	18%	2 Aug →
ancient	4–13	-0.08	11%	2 Aug →
nuke	13–4	0.03	29%	2 Aug →
nuke	13–10	0.08	13%	2 Aug →
nuke	4–13	-0.01	18%	2 Aug →
dust2	12–12	-0.01	13%	2 Aug →
dust2	13–3	-0.01	23%	1 Aug →
dust2	13–1	0.08	40%	1 Aug →
ancient	10–13	0.00	13%	1 Aug →
inferno	10–13	0.04	13%	1 Aug →
cache	11–13	0.06	14%	1 Aug →
anubis	13–16	-0.00	12%	1 Aug →
dust2	13–5	0.02	39%	1 Aug →
dust2	13–10	0.03	16%	1 Aug →
dust2	13–2	-0.05	0%	1 Aug →
dust2	13–1	0.18	31%	29 Jul →
dust2	13–11	0.01	35%	29 Jul →
cache	13–10	-0.04	9%	29 Jul →
anubis	13–7	0.02	13%	29 Jul →
dust2	8–13	-0.01	10%	29 Jul →
anubis	13–11	0.09	6%	28 Jul →
dust2	13–6	0.01	17%	28 Jul →
ancient	8–13	-0.05	13%	28 Jul →
dust2	12–12	0.06	21%	28 Jul →
dust2	16–13	0.04	12%	27 Jul →
cache	13–7	0.01	10%	27 Jul →
dust2	13–4	0.06	12%	27 Jul →
dust2	13–2	0.04	16%	27 Jul →
dust2	8–13	0.05	13%	27 Jul →
dust2	11–13	-0.05	18%	27 Jul →
nuke	7–13	0.00	13%	26 Jul →
inferno	5–13	0.06	10%	26 Jul →
dust2	10–13	0.03	27%	26 Jul →
dust2	8–13	0.14	28%	26 Jul →
dust2	13–11	-0.00	20%	26 Jul →
dust2	13–9	-0.02	26%	25 Jul →
dust2	13–8	0.05	11%	25 Jul →
dust2	13–3	-0.01	29%	25 Jul →
dust2	9–13	-0.00	19%	25 Jul →
dust2	11–13	0.04	23%	25 Jul →
dust2	12–12	0.02	21%	22 Jul →
dust2	5–13	-0.03	13%	22 Jul →
dust2	3–13	0.06	21%	22 Jul →
dust2	12–12	0.00	22%	22 Jul →
dust2	13–8	-0.02	23%	21 Jul →
dust2	13–5	0.02	21%	21 Jul →
dust2	8–13	-0.02	11%	21 Jul →
dust2	13–5	0.06	13%	21 Jul →
dust2	5–13	-0.03	21%	20 Jul →
dust2	12–12	0.08	20%	20 Jul →
dust2	6–13	0.01	27%	20 Jul →
dust2	12–12	-0.01	19%	20 Jul →
dust2	13–11	0.02	28%	20 Jul →
dust2	3–13	-0.04	11%	20 Jul →
dust2	10–13	0.03	26%	19 Jul →
dust2	13–4	-0.00	14%	19 Jul →
dust2	12–12	-0.03	18%	19 Jul →
dust2	13–7	0.01	31%	19 Jul →
dust2	4–0	0.05	8%	19 Jul →
dust2	13–6	0.11	19%	19 Jul →
dust2	10–13	0.04	27%	19 Jul →
nuke	13–6	-0.00	16%	19 Jul →
inferno	4–13	-0.07	10%	19 Jul →
cache	16–13	0.03	15%	19 Jul →
anubis	13–7	-0.04	13%	17 Jul →
cache	16–14	0.02	13%	17 Jul →
inferno	11–13	0.02	14%	17 Jul →
anubis	13–4	0.07	10%	15 Jul →
dust2	13–8	0.06	8%	15 Jul →