Richisuki

Richisuki — CS2 Stats

76561198128600025[U:1:168334297]Steam profile ↗✓ No bans

490Tracked matches20%Win rate2020Tracked since
CSDB Rating2.1 Learning
Ladder ranks via Leetify

Performance scores

Aim19
Positioning32
Utility15

0–100 skill scores via Leetify.

Recent form

COLD345412Last 10034%Win rateWTWLLLWLLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim1.9
Aggression2.8
Utility1.5
Positioning3.2
Opening Duels0.0

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

NiKo

Plays most like NiKo 58% 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

Reaction time. 678ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim1.9
Positioning3.2
Utility1.5
Mechanics4.4
Opening Duels0.0
Win Impact0.0

Composite 2.1/10 (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 rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time684ms+33ms
first ⅓ avg 651ms → last ⅓ avg 684ms
Headshot accuracy12.1%−1.4%
first ⅓ avg 13.4% → last ⅓ avg 12.1%

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

0.13Best rating — cache 13–4
131Biggest win — office
7Longest win streak
65In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 57% over 35nukeWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
officeA35201557%-0.04
cacheD2271532%-0.03
dust2D1531220%-0.05
nukeD7070%-0.05
inferno42250%-0.03
mirage4040%-0.04
vertigo31233%-0.06
alpine2020%-0.10
ancient21150%-0.07
train1010%-0.05
italy1010%0.02
boulder1010%-0.08
anubis1010%-0.14
shelter1010%-0.05
fachwerk1010%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.9%Headshot accuracy
26.0%Accuracy (enemy spotted)
29.1%Spray accuracy
69.9%Counter-strafing
12.6°Preaim
678msReaction time
25.9%T opening success
23.8%CT opening success
0.37Enemies flashed / flash
0.4%Flash assists
7.50HE damage / grenade
1.92Flashes / 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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5905° — above the 12° mark we flag

    Aim Training
  2. 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 10.9311% — below the 15% mark we flag

    Aim Training
  3. 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 0.3663 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–9-0.075%29 Aug
nuke12–12-0.013%21 Aug
office13–60.1012%19 Aug
cache8–13-0.084%18 Aug
dust210–13-0.057%17 Aug
dust26–13-0.0519%17 Aug
office13–6-0.0315%17 Aug
dust25–13-0.0320%13 Aug
dust27–13-0.0110%13 Aug
dust26–13-0.067%12 Aug
cache4–13-0.078%11 Aug
nuke11–13-0.018%9 Aug
dust213–8-0.063%9 Aug
dust212–12-0.0415%8 Aug
cache6–13-0.0115%8 Aug
train10–13-0.058%7 Aug
nuke7–13-0.078%7 Aug
inferno6–13-0.0221%4 Aug
mirage7–13-0.0514%4 Aug
cache6–13-0.0422%2 Aug
nuke12–12-0.078%2 Aug
cache13–60.0314%30 Jul
inferno6–13-0.0213%30 Jul
cache12–12-0.0115%29 Jul
dust23–13-0.1016%29 Jul
italy8–130.027%24 Jul
dust210–13-0.0419%23 Jul
nuke11–13-0.040%23 Jul
boulder12–12-0.0818%22 Jul
anubis3–13-0.140%22 Jul
dust24–13-0.0626%14 Jul
nuke9–13-0.0518%14 Jul
mirage10–13-0.0421%9 Jul
cache13–10-0.0512%9 Jul
shelter12–12-0.0514%9 Jul
fachwerk11–13-0.065%9 Jul
mirage7–13-0.089%1 Jul
alpine12–12-0.085%1 Jul
dust213–50.0213%29 Jun
cache13–11-0.069%29 Jun
nuke7–13-0.130%29 May
dust22–13-0.1119%28 May
ancient16–14-0.0811%21 May
office10–13-0.0711%21 May
office4–6-0.055%21 May
cache12–12-0.0213%16 May
office10–13-0.057%13 May
office13–9-0.0645%13 May
office8–13-0.108%13 May
office13–9-0.097%11 May
office13–11-0.0414%11 May
vertigo12–12-0.0516%8 May
cache3–13-0.0610%8 May
ancient10–13-0.075%7 May
cache8–13-0.089%7 May
cache11–13-0.0112%7 May
cache13–40.1323%7 May
cache9–13-0.0716%6 May
cache12–12-0.0117%6 May
mirage12–120.0131%6 May
cache10–13-0.089%4 May
cache11–13-0.0313%3 May
office13–5-0.1114%2 May
cache13–10-0.0314%2 May
cache9–13-0.0210%1 May
cache13–11-0.0120%1 May
cache9–13-0.070%30 Apr
cache13–9-0.0613%30 Apr
office13–8-0.0612%18 Apr
office13–10-0.0412%18 Apr
vertigo13–8-0.0413%14 Apr
office4–13-0.080%10 Apr
office13–11-0.0414%30 Mar
office13–10-0.1018%27 Mar
office13–9-0.0622%23 Mar
office13–1-0.079%21 Mar
office13–3-0.0310%21 Mar
office13–80.0013%21 Mar
office13–6-0.0516%17 Mar
dust26–13-0.0233%11 Mar
office8–130.0110%11 Mar
inferno13–8-0.0522%9 Mar
dust29–13-0.0517%9 Mar
office9–13-0.110%4 Mar
alpine5–13-0.1221%4 Mar
vertigo6–13-0.107%4 Mar
office10–13-0.0812%4 Mar
office6–13-0.070%3 Mar
office4–13-0.0428%3 Mar
office6–13-0.0217%27 Feb
office9–3-0.016%27 Feb
office4–13-0.0319%27 Feb
office12–12-0.0111%25 Feb
office13–4-0.0713%25 Feb
office13–9-0.0329%25 Feb
inferno13–7-0.0311%21 Feb
office13–70.0211%19 Jan
office7–13-0.0210%19 Jan
office8–13-0.068%15 Jan
office10–13-0.018%29 Dec

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →