riridotexe

riridotexe — CS2 Stats

76561197963387055[U:1:3121327]Steam profile ↗✓ No bans

339Tracked matches30%Win rate2021Tracked since
310Hours in CS
CSDB Rating4.9 DevelopingPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 6,075 +966 28 Nov – 19 Dec · 8 days played
5,1097,115peak 7,11528 Nov19 Dec
7,115Peak Premier in tracked matches
32Days played since 2025-06-27

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

Performance scores

Aim83
Positioning54
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY41–47–12Last 10041%Win rateWWLLLLWLTW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +1.7pp headshot accuracy · −23ms reaction

Win rate up 20pp 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 -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 561ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 595ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 606ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim8.3
Utility1.4
Positioning5.4
Opening Duels1.7
Clutch4.0

Limited 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.

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

sh1ro

Plays most like sh1ro 74% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 583ms 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

Aim8.3
Positioning5.4
Utility1.4
Mechanics6.1
Opening Duels2.1
Win Impact0.0

Composite 4.9/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time572ms−11ms
first ⅓ avg 583ms → last ⅓ avg 572ms
Headshot accuracy25.4%−2.2%
first ⅓ avg 27.6% → last ⅓ avg 25.4%

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

0.13Best match rating · 12–12 · inferno, 19 Dec →
67%Best headshot accuracy · 13–3 · office, 25 Oct →
406msFastest reaction time · 1–13 · inferno, 12 Oct →
13–1Biggest win · dust2, 19 Dec →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
6–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 50% over 12ancientWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
infernoC167–944%0.01
ancientD132–1115%-0.00
nukeB126–650%0.01
mirageC114–736%0.01
overpassB115–645%-0.01
dust2C94–544%-0.01
cacheD72–529%0.02
trainC73–443%-0.01
officeC73–443%0.00
vertigo—22–0100%0.02
agency—21–150%-0.02
anubis—11–0100%-0.03
boulder—10–10%-0.01
italy—11–0100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,978Lifetime kills
1.22K/D · Top 25% of tracked players
1,681Matches
35.2%Match win rate
47.9%Headshot % · Top 50% of tracked players
14.1%Shot accuracy · Top 50% of tracked players
1,476MVPs
310Hours (in match)
344Bombs planted
172Bombs defused

Most-used weapons

Lifetime map wins

1,099dust2
996inferno
637nuke
391vertigo
356train
242office
188italy
93cbble

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

Faceit stats

Combat

12Matches
33%Win rate
0.77Avg K/D
59.3ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno540%0.7311.0
Nuke250%0.8514.5
Mirage250%0.6811.0
Dust220%1.0414.0
Vertigo10%0.406.0

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.

25.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
45.4%Spray accuracy
77.6%Counter-strafing
10.3°Preaim
583msReaction time
41.4%T opening success
35.3%CT opening success
0.24Enemies flashed / flash
1.8%Flash assists
3.36HE damage / grenade
2.60Flashes / 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 0.2407 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.2743% — 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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0326%26 Oct →
cache13–40.0437%26 Oct →
ancient6–13-0.1038%21 Oct →
inferno6–130.0226%21 Oct →
mirage9–13-0.0416%21 Oct →
cache7–13-0.0232%21 Oct →
mirage13–70.0933%16 Oct →
cache10–130.0623%16 Oct →
mirage15–150.0527%16 Oct →
nuke13–80.0318%16 Oct →
ancient4–13-0.0633%16 Oct →
overpass13–7-0.0433%16 Oct →
train3–13-0.0223%16 Oct →
cache7–130.0442%16 Oct →
inferno12–12-0.0117%16 Oct →
dust25–13-0.0115%16 Oct →
ancient6–13-0.0317%16 Oct →
mirage6–13-0.0915%16 Oct →
inferno3–13-0.0519%13 Oct →
cache13–7-0.0342%13 Oct →
office13–7-0.0827%12 Oct →
overpass5–13-0.0415%12 Oct →
train3–13-0.0913%12 Oct →
mirage8–13-0.0145%12 Oct →
inferno1–13-0.0425%12 Oct →
ancient4–130.0519%12 Oct →
boulder12–12-0.0116%25 Sept →
dust21–13-0.0419%25 Sept →
nuke13–40.0126%25 Sept →
ancient6–13-0.0425%25 Sept →
train13–110.0418%25 Sept →
inferno3–130.0340%25 Sept →
inferno13–70.0216%25 Sept →
mirage13–70.0722%5 Aug →
office7–13-0.096%5 Aug →
cache12–12-0.0532%17 Jun →
cache11–130.0729%17 Jun →
inferno2–130.0126%23 Apr →
ancient12–120.0423%23 Apr →
office6–130.0333%9 Apr →
ancient12–12-0.0318%9 Apr →
overpass9–13-0.0424%19 Dec →
mirage7–130.0325%19 Dec →
train13–100.0438%19 Dec →
inferno12–120.1337%19 Dec →
dust213–1-0.0141%19 Dec →
inferno13–11-0.0021%15 Dec →
overpass13–11-0.0326%12 Dec →
mirage9–130.0238%12 Dec →
inferno12–160.0223%12 Dec →
ancient13–7-0.0230%8 Dec →
inferno13–60.0129%8 Dec →
dust26–13-0.0720%8 Dec →
ancient7–130.0228%8 Dec →
overpass14–160.0124%3 Dec →
inferno16–12-0.0015%2 Dec →
overpass9–130.0035%1 Dec →
train16–12-0.0438%1 Dec →
dust213–90.0230%28 Nov →
overpass14–160.0118%28 Nov →
overpass13–10-0.0225%28 Nov →
nuke15–150.0327%24 Nov →
overpass13–11-0.0326%22 Nov →
mirage13–20.0133%22 Nov →
nuke7–130.0129%22 Nov →
inferno13–8-0.0623%22 Nov →
nuke13–11-0.0321%17 Nov →
inferno13–60.0525%5 Nov →
mirage5–13-0.0712%5 Nov →
nuke12–12-0.0345%5 Nov →
inferno10–130.0023%5 Nov →
vertigo13–30.0439%5 Nov →
train9–130.0125%3 Nov →
ancient5–13-0.0126%3 Nov →
dust213–40.0421%3 Nov →
vertigo13–90.0023%3 Nov →
mirage13–10.0827%31 Oct →
nuke8–130.0322%25 Oct →
office13–30.1067%25 Oct →
nuke13–110.0333%19 Oct →
office6–13-0.0429%19 Oct →
ancient11–130.0341%19 Oct →
agency7–13-0.0417%19 Oct →
office10–130.0733%19 Oct →
inferno13–90.0723%18 Oct →
italy11–3-0.0017%18 Oct →
office13–80.0338%18 Oct →
nuke12–12-0.0619%18 Oct →
train12–120.0022%18 Oct →
overpass13–70.0533%18 Oct →
dust213–6-0.0332%11 Oct →
nuke0–13-0.018%1 Oct →
dust29–130.0432%1 Aug →
ancient13–40.0727%1 Aug →
dust27–13-0.0328%1 Aug →
overpass11–130.0117%1 Aug →
ancient15–150.0520%28 Jun →
nuke13–20.0527%28 Jun →
agency13–70.0117%27 Jun →
nuke13–50.1241%27 Jun →

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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