Risu?

Risu? — CS2 Stats

76561198168456171[U:1:208190443]Steam profile ↗✓ No bans

348Tracked matches41%Win rate2021Tracked since
CSDB Rating5.1 DevelopingClutch Specialist
Premier CS Rating18,611Purple band · top ~14% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,611 +3,146 12 Mar – 4 Nov · 29 days played
15,46520,302peak 20,30212 Mar4 Nov
20,518Peak Premier in tracked matches
44Days played since 2026-03-12

Premier CS Rating

  • 1,691 below peak (20,302)
  • -1,158 over 30 days · declining
  • Next: Pink band at 20,000 — 1,389 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGRisu?FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,611 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning53
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLWWLLWWLWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +1.5pp headshot accuracy · −42ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 30%
  • Avg reaction 612ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 602ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 623ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim6.3
Utility4.4
Positioning5.3
Opening Duels2.0
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 604ms 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

Aim6.3
Positioning5.3
Utility4.4
Mechanics6.3
Opening Duels3.6
Win Impact2.1

Composite 5.1/10 (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-0.04−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.04
Reaction time600ms−18ms
first ⅓ avg 617ms → last ⅓ avg 600ms
Headshot accuracy27.1%+0.6%
first ⅓ avg 26.5% → last ⅓ avg 27.1%

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.

Personal bests

0.12Best match rating · 13–5 · mirage, 13 Mar →
63%Best headshot accuracy · 5–4 · anubis, 26 Sept →
406msFastest reaction time · 12–12 · inferno, 3 Apr →
13–0Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 65% over 23dust2Weakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS2315–865%-0.01
ancientA148–657%-0.02
dust2D121–118%-0.04
infernoB126–650%-0.01
nukeD111–109%-0.00
cacheB115–645%-0.04
anubisB105–550%-0.03
overpassC73–443%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

67Matches
55%Win rate
0.82Avg K/D
66.2ADR
56%Headshot %

Clutches & streaks

50%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2065%0.8212.2
Ancient771%0.9313.9
Inferno560%0.7615.2
Vertigo333%0.7113.0
Overpass333%0.9613.0
Anubis10%1.0015.0

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.

28.0%Headshot accuracy
29.7%Accuracy (enemy spotted)
26.1%Spray accuracy
78.5%Counter-strafing
10.4°Preaim
604msReaction time
48.2%T opening success
40.4%CT opening success
0.54Enemies flashed / flash
7.9%Flash assists
6.66HE damage / grenade
7.43Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust21–13-0.1035%4 Nov →
inferno13–8-0.0421%3 Nov →
anubis13–7-0.0017%3 Nov →
nuke9–13-0.0150%3 Nov →
mirage7–130.0026%2 Nov →
cache16–140.0017%2 Nov →
dust216–130.0527%2 Nov →
mirage8–130.0032%29 Oct →
mirage13–6-0.0014%24 Oct →
anubis1–13-0.0440%23 Oct →
dust24–130.0011%23 Oct →
cache4–13-0.0429%23 Oct →
inferno11–13-0.0415%23 Oct →
dust26–13-0.0253%23 Oct →
dust24–13-0.0830%17 Oct →
ancient13–10-0.0223%17 Oct →
ancient5–13-0.0822%14 Oct →
cache7–13-0.1329%12 Oct →
dust24–13-0.0626%11 Oct →
inferno11–13-0.0323%9 Oct →
dust215–15-0.0429%9 Oct →
ancient13–70.0145%9 Oct →
mirage13–8-0.0557%9 Oct →
anubis13–10-0.0234%9 Oct →
ancient5–13-0.0712%9 Oct →
anubis7–13-0.0525%8 Oct →
cache13–8-0.0125%8 Oct →
ancient13–9-0.0736%3 Oct →
mirage13–6-0.0214%3 Oct →
mirage6–13-0.0629%3 Oct →
cache9–13-0.116%2 Oct →
anubis10–13-0.0721%29 Sept →
dust27–13-0.0320%28 Sept →
dust210–13-0.0542%28 Sept →
cache13–10-0.0122%28 Sept →
ancient8–130.0417%27 Sept →
dust212–16-0.069%27 Sept →
dust29–13-0.0520%26 Sept →
mirage7–13-0.0634%26 Sept →
inferno13–7-0.0142%26 Sept →
inferno6–13-0.0221%26 Sept →
anubis5–4-0.0163%26 Sept →
mirage3–13-0.0135%26 Sept →
dust215–15-0.0928%25 Sept →
cache7–1-0.0636%25 Sept →
nuke4–13-0.0630%25 Sept →
inferno13–00.0325%25 Sept →
ancient13–3-0.0533%25 Sept →
mirage13–7-0.1123%24 Sept →
mirage13–4-0.0330%24 Sept →
cache2–13-0.1010%23 Sept →
ancient13–7-0.0022%22 Sept →
anubis7–13-0.0317%22 Sept →
inferno15–15-0.0124%21 Sept →
anubis13–8-0.0421%20 Sept →
cache7–13-0.0454%1 Sept →
anubis13–10.0525%1 Sept →
inferno13–100.0429%25 May →
nuke8–130.0324%25 May →
overpass6–130.0320%23 May →
cache13–100.0818%15 May →
mirage13–30.0443%15 May →
nuke3–13-0.0525%15 May →
inferno13–9-0.0641%15 May →
overpass7–13-0.0324%13 May →
nuke6–13-0.0336%13 May →
nuke12–12-0.0241%12 May →
cache12–12-0.0119%12 May →
mirage13–40.1134%6 Apr →
nuke5–130.0129%6 Apr →
overpass4–13-0.0318%3 Apr →
mirage6–130.0128%3 Apr →
inferno12–120.0826%3 Apr →
inferno5–13-0.0415%2 Apr →
nuke10–13-0.0227%2 Apr →
overpass5–130.0133%2 Apr →
mirage13–9-0.0812%31 Mar →
inferno13–5-0.0243%31 Mar →
mirage13–80.0028%31 Mar →
ancient13–7-0.0019%30 Mar →
nuke9–13-0.0135%25 Mar →
mirage6–130.0132%25 Mar →
mirage13–40.0528%24 Mar →
overpass13–6-0.0317%24 Mar →
mirage13–7-0.0126%24 Mar →
nuke12–120.0832%22 Mar →
overpass13–70.0133%22 Mar →
mirage13–70.0330%22 Mar →
nuke13–90.0230%18 Mar →
ancient11–13-0.0026%16 Mar →
overpass13–90.0227%16 Mar →
anubis12–16-0.0728%15 Mar →
ancient13–5-0.0117%15 Mar →
mirage13–5-0.0321%14 Mar →
ancient11–13-0.0126%14 Mar →
mirage6–13-0.0322%13 Mar →
mirage13–8-0.0633%13 Mar →
mirage13–50.1224%13 Mar →
ancient9–130.0543%12 Mar →
ancient13–11-0.0615%12 Mar →

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 →

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