Ris

Ris — CS2 Stats

AU76561199851595116[U:1:1891329388]Steam profile ↗✓ No bans

84Tracked matches43%Win rate2025Tracked since
33Hours in CS
CSDB Rating5.5 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim81
Positioning48
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY39413Last 8347%Win rateLLWLLWLLWW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression7.9
Utility4.3
Positioning4.8
Opening Duels2.9

Strong CT-side opener

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

b1t

Plays most like b1t 89% playstyle similarity

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

Where you differ: lower aim 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

Areas to improve

Positioning. Positioning trails aim by 33 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.

T-side openings. Opening success drops from 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim8.1
Positioning4.8
Utility4.3
Mechanics6.0
Opening Duels2.9
Win Impact2.8

Composite 5.5/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time576ms−84ms
first ⅓ avg 660ms → last ⅓ avg 576ms
Headshot accuracy28.1%+0.5%
first ⅓ avg 27.5% → last ⅓ avg 28.1%

Rolling 5-match average across the last 83 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.21Best rating — nuke 13–3
131Biggest win — dust2
6Longest win streak
L2Current streak
67In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 60% over 15ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%0.02
infernoA159660%-0.00
nukeB147750%0.02
mirageD93633%-0.03
ancientD71614%0.03
trainC52340%0.04
anubis43175%0.03
office32167%0.05
vertigo21150%-0.05
overpass1010%-0.05
jura1010%-0.08

Across the last 83 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,389Lifetime kills
1.03K/D
94Matches
47.9%Match win rate · Top 50% of tracked players
60.4%Headshot % · Top 10% of tracked players
0.0%Shot accuracy
198MVPs
33Hours (in match)
72Bombs planted
24Bombs defused

Most-used weapons

Lifetime map wins

253dust2
159inferno
140nuke
58train
37office
27vertigo

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

Skill profile

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

28.1%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.0%Spray accuracy
77.1%Counter-strafing
8.3°Preaim
581msReaction time
32.5%T opening success
50.8%CT opening success
0.46Enemies flashed / flash
8.0%Flash assists
11.92HE damage / grenade
6.42Flashes / 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. 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 0.4615 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 32.5258% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–13-0.059%27 Jul
inferno9–130.0329%27 Jul
dust213–70.0916%26 Jul
ancient2–13-0.0530%19 Jul
inferno7–13-0.0222%19 Jul
office13–90.0849%12 Jul
office11–130.0022%12 Jul
nuke5–13-0.0017%27 Jun
inferno16–14-0.0422%26 Jun
anubis13–80.0630%26 Jun
dust26–130.0426%20 Jun
nuke5–7-0.0126%20 Jun
train13–110.0130%17 Jun
train11–130.0229%17 Jun
dust213–30.0845%17 Jun
mirage5–13-0.090%15 Jun
dust213–50.0325%15 Jun
ancient8–130.0740%15 Jun
dust213–70.1433%19 May
mirage13–20.0532%19 May
mirage13–9-0.0426%16 May
ancient8–13-0.0232%16 May
mirage5–13-0.0517%14 May
nuke13–9-0.0039%14 May
office13–70.0853%13 May
dust213–9-0.0527%12 May
mirage10–13-0.0931%11 May
inferno2–60.0225%11 May
inferno7–13-0.0029%28 Apr
dust23–13-0.0621%28 Apr
nuke10–130.0430%25 Apr
inferno13–40.0234%23 Apr
inferno3–13-0.0913%18 Apr
mirage13–160.0320%17 Apr
nuke8–13-0.0427%12 Apr
dust20–13-0.0725%12 Apr
inferno7–130.0224%12 Apr
vertigo13–8-0.0213%11 Apr
ancient10–130.0219%7 Apr
mirage6–13-0.0120%7 Apr
nuke7–13-0.0324%4 Apr
overpass4–13-0.0525%4 Apr
nuke13–30.0538%4 Apr
ancient13–100.1328%4 Apr
nuke13–30.2123%4 Apr
mirage13–110.0228%4 Apr
nuke13–90.0128%3 Apr
inferno13–50.0641%3 Apr
ancient8–13-0.0225%3 Apr
inferno13–110.0226%2 Apr
anubis13–90.0238%2 Apr
nuke13–5-0.0265%2 Apr
nuke3–13-0.0136%29 Mar
dust25–13-0.0410%11 Mar
inferno13–6-0.0320%28 Feb
dust213–5-0.0116%28 Feb
dust211–130.1517%28 Feb
train11–13-0.0023%25 Feb
dust211–13-0.0128%24 Feb
dust29–13-0.0131%24 Feb
dust210–130.0837%22 Feb
dust213–10.2148%22 Feb
nuke13–110.0219%22 Feb
dust23–13-0.0423%22 Feb
dust213–40.0417%21 Feb
nuke13–70.0612%21 Feb
dust213–110.0461%14 Feb
inferno13–90.0129%14 Feb
vertigo12–12-0.0727%14 Feb
anubis9–13-0.0421%8 Feb
dust28–130.0321%7 Feb
anubis13–50.0716%7 Feb
inferno13–50.0216%7 Feb
dust25–1-0.080%7 Feb
inferno13–7-0.0121%13 Aug
dust213–9-0.0450%3 Aug
jura2–13-0.0822%3 Aug
ancient12–120.0611%26 Jul
nuke11–13-0.0422%26 Jul
inferno10–3-0.0533%26 Jul
mirage12–12-0.0631%26 Jul
train10–130.1373%21 Jul
train13–30.0235%21 Jul

Match data via Leetify.

Recent teammates

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