JOGA BONITO uki — CS2 Stats

WS76561198879605841[U:1:919340113]Steam profile ↗

267Tracked matches38%Win rate2020Tracked since

1,864Hours in CS

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating12,462Blue band · top ~41.8% of ranked players (population est.)

CSDB Leaderboard#23542 of 34365 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median	Level 6 median	vs Level 6
Headshot rate	56.2%	44.2%	44.9%	above
Shot accuracy	20.0%	11.2%	11.8%	above
Kill/death ratio	1.60	1.04	1.04	above
Match win rate	35.3%	45.3%	45.3%	9.9% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim88

Positioning44

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateLLLWWWWWWL

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

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

Aim8.8

Aggression4.5

Utility4.3

Positioning4.4

Opening Duels0.6

Clutch2.6

Sharp aimerExcellent counter-strafingLimited 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.

Your pro match

Plays most like NiKo 88% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

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

Reaction time. 609ms 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

Aim8.8

Positioning4.4

Utility4.3

Mechanics9.5

Opening Duels1.2

Win Impact1.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time610ms+32ms

first ⅓ avg 578ms → last ⅓ avg 610ms

Headshot accuracy20.8%+2.8%

first ⅓ avg 18.0% → last ⅓ avg 20.8%

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

0.17Best rating — vertigo 9–13

13–1Biggest win — ancient

6Longest win streak

L3Current streak

7–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 58% over 19cacheWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	21	7–14	33%	0.02
mirage	C	21	8–13	38%	0.01
nuke	A	19	11–8	58%	0.05
office	B	11	5–6	45%	0.02
ancient	B	8	4–4	50%	-0.00
cache	D	7	1–6	14%	0.03
dust2	D	5	1–4	20%	0.03
vertigo	—	3	1–2	33%	0.07
overpass	—	2	0–2	0%	0.07
anubis	—	2	2–0	100%	0.09
grail	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Lifetime stats

133,348Lifetime kills

1.60K/D · Top 5% of Level 5 players

3,978Matches

35.3%Match win rate

56.2%Headshot % · Top 10% of Level 5 players

20.0%Shot accuracy · Top 5% of Level 5 players

8,507MVPs

1,864Hours (in match)

1,157Bombs planted

592Bombs defused

Most-used weapons

AK-4752,391

AWP15,981

M4A4 / M4A1-S15,904

Desert Eagle13,804

P2000 / USP-S8,720

Glock-183,540

SSG 083,276

Galil AR2,223

P2501,672

FAMAS1,563

Lifetime map wins

6,083office

3,681dust2

2,175inferno

949nuke

330vertigo

234train

32lake

26safehouse

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

Faceit stats

Combat

90Matches

59%Win rate

1.82Avg K/D

106.5ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

30%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	10	50%	1.28	19.4
Inferno	8	75%	2.04	21.1
Mirage	7	43%	1.60	21.9
Anubis	4	75%	1.97	22.5
Nuke	4	50%	1.07	12.8
Ancient	3	0%	1.19	17.3
Train	1	100%	1.86	13.0
Vertigo	1	100%	1.22	22.0

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.

20.5%Headshot accuracy

36.8%Accuracy (enemy spotted)

38.5%Spray accuracy

92.7%Counter-strafing

6.7°Preaim

609msReaction time

25.8%T opening success

39.3%CT opening success

0.52Enemies flashed / flash

6.7%Flash assists

10.08HE damage / grenade

3.36Flashes / 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 3.3635 — 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 25.8407% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
office	5–13	-0.02	23%	19 Jul →
inferno	3–13	-0.10	26%	19 Jul →
mirage	2–13	-0.07	13%	18 Jul →
nuke	13–2	0.07	20%	17 Jul →
ancient	13–1	0.06	42%	17 Jul →
dust2	13–6	0.03	37%	17 Jul →
nuke	13–9	0.03	15%	16 Jul →
inferno	13–7	-0.02	13%	16 Jul →
nuke	13–8	-0.03	22%	16 Jul →
cache	6–13	0.02	24%	16 Jul →
mirage	13–5	0.03	20%	16 Jul →
cache	2–13	-0.08	54%	14 Jul →
inferno	6–13	-0.04	14%	14 Jul →
inferno	13–16	0.03	10%	14 Jul →
inferno	10–4	0.00	29%	14 Jul →
overpass	1–13	0.10	19%	13 Jul →
mirage	6–13	-0.06	14%	13 Jul →
inferno	7–13	0.07	23%	12 Jul →
cache	7–13	0.07	17%	12 Jul →
nuke	5–13	-0.07	20%	11 Jul →
inferno	2–5	0.03	18%	11 Jul →
mirage	12–12	0.12	15%	10 Jul →
office	13–5	-0.04	15%	10 Jul →
dust2	7–13	-0.01	25%	10 Jul →
office	13–9	0.01	7%	9 Jul →
cache	4–13	0.02	35%	9 Jul →
inferno	10–13	0.06	20%	9 Jul →
mirage	5–13	0.00	9%	8 Jul →
ancient	13–8	0.01	14%	8 Jul →
cache	5–13	0.02	24%	6 Jul →
inferno	13–11	-0.01	9%	2 Jul →
cache	13–6	0.04	20%	1 Jul →
cache	6–13	0.09	19%	1 Jul →
inferno	4–13	0.03	28%	1 Jul →
dust2	11–13	0.07	10%	30 Jun →
inferno	11–13	0.01	14%	30 Jun →
office	4–13	-0.00	25%	27 Jun →
anubis	13–6	0.17	15%	2 Jul →
mirage	4–13	0.03	12%	28 Jun →
grail	9–13	0.05	14%	23 Jun →
overpass	9–13	0.04	20%	21 Jun →
mirage	9–13	-0.03	12%	25 May →
mirage	6–2	-0.04	8%	22 May →
mirage	13–9	0.08	11%	20 May →
anubis	13–10	0.01	8%	20 May →
dust2	9–13	0.05	20%	18 May →
mirage	13–10	0.04	8%	17 May →
mirage	3–13	-0.04	29%	17 Apr →
mirage	13–11	0.06	16%	17 Apr →
vertigo	9–13	0.17	13%	13 Apr →
mirage	13–6	0.07	11%	4 Apr →
mirage	13–8	0.11	12%	29 Mar →
office	13–8	0.01	7%	11 Mar →
inferno	6–13	-0.05	15%	11 Mar →
nuke	9–13	0.06	13%	1 Sept →
nuke	13–11	0.11	22%	24 Aug →
ancient	3–8	0.01	17%	2 Aug →
mirage	6–13	-0.01	16%	2 Aug →
inferno	13–6	0.01	8%	2 Aug →
mirage	6–13	0.07	13%	1 Aug →
office	3–11	0.02	14%	29 Jul →
nuke	9–13	0.09	16%	26 Jul →
office	13–4	0.04	21%	26 Jul →
ancient	1–13	-0.13	7%	29 Jun →
dust2	8–13	0.01	18%	25 Jun →
nuke	13–9	0.13	26%	24 Jun →
nuke	11–13	0.02	11%	2 Apr →
office	4–13	0.01	26%	2 Apr →
mirage	2–13	-0.05	23%	15 Mar →
nuke	11–13	0.02	13%	14 Mar →
nuke	13–8	0.10	20%	12 Mar →
mirage	2–13	-0.10	29%	12 Mar →
mirage	1–13	-0.08	13%	12 Mar →
inferno	13–11	0.06	22%	11 Mar →
nuke	13–11	0.04	22%	11 Mar →
vertigo	9–13	0.02	16%	5 Mar →
inferno	9–13	0.00	7%	5 Mar →
vertigo	13–11	0.03	11%	1 Mar →
ancient	10–13	-0.03	11%	29 Feb →
mirage	13–3	0.16	16%	25 Feb →
inferno	10–13	0.07	19%	25 Feb →
inferno	13–11	0.03	12%	25 Feb →
office	13–6	0.08	26%	24 Feb →
nuke	13–10	0.01	14%	24 Feb →
nuke	9–13	0.07	26%	24 Feb →
nuke	13–9	0.07	29%	24 Feb →
nuke	9–13	0.00	16%	24 Feb →
nuke	3–13	-0.01	18%	24 Feb →
office	12–12	0.09	10%	23 Feb →
office	4–13	0.03	9%	23 Feb →
inferno	13–16	0.03	21%	22 Feb →
ancient	13–6	0.05	17%	22 Feb →
ancient	16–13	-0.01	15%	22 Feb →
inferno	13–7	0.04	18%	21 Feb →
nuke	13–10	0.03	26%	21 Feb →
ancient	6–13	-0.01	11%	21 Feb →
mirage	10–13	-0.05	13%	21 Feb →
nuke	13–7	0.16	21%	21 Feb →
inferno	8–13	0.06	28%	19 Feb →
inferno	15–15	0.11	17%	19 Feb →