ριχι | Feetjie εïз Prin6 — CS2 Stats

ZA76561197994883544[U:1:34617816]Steam profile ↗✓ No bans

1,743Tracked matches39%Win rate2020Tracked since

3,255Hours in CS

CSDB Rating3.6 LearningClutch Specialist

Premier CS Rating18,296Purple band · top ~15.3% of ranked players (population est.)

CSDB Leaderboard#7356 of 13640 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	vs Pink band
Headshot rate	28.7%	48.1%	19.4% short
Shot accuracy	20.3%	12.9%	above
Kill/death ratio	1.21	1.08	above
Match win rate	36.7%	46.5%	9.8% short

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

Widest gap: Headshot rate. That is the metric furthest from the Pink 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

Aim52

Positioning40

Utility28

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLLWLLWLLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.2

Aggression4.5

Utility2.8

Positioning4.0

Opening Duels1.0

Clutch9.4

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 45% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.2

Positioning4.0

Utility2.8

Mechanics3.0

Opening Duels1.9

Win Impact1.4

Composite 3.6/10 (Learning), 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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time615ms−34ms

first ⅓ avg 649ms → last ⅓ avg 615ms

Headshot accuracy22.1%−1.4%

first ⅓ avg 23.5% → last ⅓ avg 22.1%

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

0.20Best rating — dust2 13–9

13–2Biggest win — inferno

5Longest win streak

L2Current streak

4–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 55% over 33cacheWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	33	18–15	55%	0.02
mirage	B	23	11–12	48%	0.01
cache	C	16	6–10	38%	0.00
inferno	C	9	4–5	44%	0.01
nuke	B	6	3–3	50%	0.03
anubis	C	5	2–3	40%	-0.03
train	—	3	2–1	67%	0.06
vertigo	—	2	1–1	50%	-0.01
ancient	—	1	1–0	100%	-0.00
office	—	1	1–0	100%	0.14
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Lifetime stats

203,453Lifetime kills

1.21K/D · Top 25% of tracked players

9,810Matches

36.7%Match win rate

28.7%Headshot %

20.3%Shot accuracy · Top 5% of tracked players

14,665MVPs

3,255Hours (in match)

4,592Bombs planted

1,335Bombs defused

Most-used weapons

AWP122,010

P2000 / USP-S10,937

M4A4 / M4A1-S9,660

Glock-188,179

AK-477,779

Desert Eagle4,465

Tec-94,116

Five-SeveN3,066

SG 5532,954

SSG 082,902

Lifetime map wins

36,765dust2

4,375inferno

1,268vertigo

1,133train

1,118nuke

822cbble

337office

111lake

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

Faceit stats

Combat

8Matches

38%Win rate

0.87Avg K/D

80.1ADR

46%Headshot %

Clutches & streaks

67%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	67%	0.81	11.7
Ancient	1	0%	0.93	14.0
Mirage	1	0%	1.09	24.0
Anubis	1	0%	0.73	11.0

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.

21.8%Headshot accuracy

30.2%Accuracy (enemy spotted)

34.7%Spray accuracy

63.5%Counter-strafing

9.5°Preaim

614msReaction time

22.8%T opening success

44.9%CT opening success

0.52Enemies flashed / flash

8.2%Flash assists

6.18HE damage / grenade

2.30Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.297 — below the 4 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 22.7999% — below the 40% mark we flag

Spend your practice time on Cache

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 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	-0.08	36%	27 Aug →
mirage	14–16	0.03	21%	20 Aug →
dust2	13–4	0.02	30%	20 Aug →
anubis	7–13	-0.08	17%	19 Aug →
nuke	11–13	0.00	32%	15 Aug →
mirage	13–10	0.02	21%	15 Aug →
vertigo	7–13	-0.02	15%	13 Aug →
cache	10–13	-0.06	9%	13 Aug →
mirage	13–5	0.13	35%	12 Aug →
nuke	10–13	-0.05	21%	9 Aug →
ancient	13–9	-0.00	18%	5 Aug →
dust2	13–4	-0.05	17%	5 Aug →
dust2	13–5	0.03	11%	31 Jul →
dust2	6–13	-0.07	8%	30 Jul →
dust2	13–11	0.06	18%	29 Jul →
dust2	6–13	0.07	28%	24 Jul →
dust2	13–3	0.12	30%	24 Jul →
anubis	9–13	0.01	26%	24 Jul →
dust2	11–13	-0.01	22%	23 Jul →
inferno	9–13	-0.07	32%	22 Jul →
dust2	8–13	-0.06	10%	20 Jul →
cache	6–13	-0.04	35%	19 Jul →
inferno	5–13	-0.04	22%	19 Jul →
mirage	9–13	-0.06	17%	18 Jul →
cache	13–8	0.01	26%	15 Jul →
cache	12–16	0.01	17%	15 Jul →
dust2	16–14	0.05	23%	15 Jul →
mirage	13–6	0.09	15%	15 Jul →
dust2	12–12	-0.02	34%	14 Jul →
train	12–12	-0.05	15%	14 Jul →
dust2	5–13	-0.03	26%	13 Jul →
cache	13–6	0.05	17%	13 Jul →
dust2	13–9	0.20	26%	13 Jul →
dust2	9–13	-0.02	36%	12 Jul →
mirage	13–10	-0.05	13%	12 Jul →
cache	13–16	0.02	26%	12 Jul →
dust2	9–13	-0.08	12%	11 Jul →
dust2	6–13	0.01	25%	11 Jul →
mirage	13–10	-0.04	14%	11 Jul →
dust2	6–13	-0.06	18%	11 Jul →
dust2	4–13	0.00	18%	11 Jul →
inferno	2–4	0.03	23%	11 Jul →
mirage	6–13	0.04	20%	11 Jul →
cache	13–7	-0.01	22%	11 Jul →
inferno	13–2	0.12	23%	11 Jul →
dust2	8–13	-0.00	26%	11 Jul →
cache	1–13	-0.05	10%	11 Jul →
dust2	13–10	-0.05	13%	11 Jul →
mirage	13–7	-0.03	36%	10 Jul →
cache	13–11	-0.02	17%	10 Jul →
dust2	13–2	0.03	14%	10 Jul →
cache	7–13	-0.04	17%	10 Jul →
inferno	13–6	-0.00	10%	10 Jul →
anubis	13–4	-0.06	22%	10 Jul →
mirage	13–8	0.07	4%	10 Jul →
inferno	13–4	0.00	11%	10 Jul →
mirage	6–13	-0.03	17%	9 Jul →
mirage	13–4	0.05	50%	8 Jul →
dust2	13–4	0.06	36%	7 Jul →
mirage	11–13	-0.03	25%	6 Jul →
cache	3–13	-0.01	18%	3 Jul →
train	13–3	0.08	25%	3 Jul →
mirage	13–10	0.08	16%	3 Jul →
inferno	4–13	-0.02	24%	1 Jul →
dust2	7–13	0.05	14%	1 Jul →
mirage	0–13	-0.05	8%	30 Jun →
cache	13–10	0.11	19%	30 Jun →
dust2	13–10	0.10	43%	30 Jun →
inferno	8–13	-0.05	31%	30 Jun →
dust2	13–8	0.04	38%	29 Jun →
dust2	13–3	-0.03	25%	29 Jun →
dust2	12–12	0.07	21%	29 Jun →
cache	13–8	0.17	14%	29 Jun →
cache	12–12	-0.06	32%	28 Jun →
nuke	13–2	0.03	23%	28 Jun →
anubis	13–11	-0.00	6%	28 Jun →
dust2	13–10	-0.03	15%	27 Jun →
anubis	7–13	-0.01	30%	27 Jun →
inferno	13–7	0.10	17%	27 Jun →
mirage	16–13	0.02	30%	27 Jun →
office	13–4	0.14	30%	26 Jun →
train	13–2	0.16	28%	26 Jun →
dust2	13–4	0.13	23%	26 Jun →
mirage	8–13	-0.01	26%	26 Jun →
cache	10–13	-0.01	8%	26 Jun →
dust2	13–7	0.11	25%	25 Jun →
dust2	13–6	0.05	29%	25 Jun →
mirage	8–13	-0.02	20%	25 Jun →
dust2	13–9	0.05	24%	24 Jun →
vertigo	13–9	-0.01	20%	24 Jun →
mirage	12–12	-0.04	18%	24 Jun →
nuke	13–3	0.02	8%	24 Jun →
nuke	11–13	0.05	34%	23 Jun →
nuke	13–4	0.12	34%	23 Jun →
cache	3–13	-0.01	23%	22 Jun →
mirage	3–13	0.00	18%	22 Jun →
mirage	8–13	-0.03	18%	21 Jun →
overpass	6–13	-0.04	18%	21 Jun →
mirage	13–5	0.06	18%	21 Jun →
mirage	6–13	-0.05	32%	20 Jun →