Ritah Ora

Ritah Ora — CS2 Stats

SE76561198069781103[U:1:109515375]Steam profile ↗

700Tracked matches43%Win rate2020Tracked since
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating16,008Purple band · top ~24.4% of ranked players (population est.)
CSDB Leaderboard#14726 of 24485 tracked
Ladder ranks via Leetify

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CSDB.GGRitah OraPREMIER16,008 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning36
Utility47

0–100 skill scores via Leetify.

Recent form

COLD42562Last 10042%Win rateLWWLLLLLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.2
Aggression4.8
Utility4.7
Positioning3.6
Opening Duels1.3

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 88% playstyle similarity

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

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 47 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. 663ms 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

Aim8.2
Positioning3.6
Utility4.7
Mechanics7.6
Opening Duels1.5
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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time664ms−16ms
first ⅓ avg 680ms → last ⅓ avg 664ms
Headshot accuracy22.7%−1.5%
first ⅓ avg 24.2% → last ⅓ avg 22.7%

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

0.09Best rating — dust2 13–7
130Biggest win — mirage
4Longest win streak
63In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C2291341%-0.04
mirageA2112957%-0.01
ancientC1761135%-0.02
anubisC145936%-0.02
infernoD1441029%-0.02
cacheS64267%-0.03
nuke21150%-0.04
cache_b21150%-0.02
overpass2020%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches
40%Win rate
0.71Avg K/D
ADR
49%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

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.

22.4%Headshot accuracy
37.4%Accuracy (enemy spotted)
42.4%Spray accuracy
84.0%Counter-strafing
8.2°Preaim
663msReaction time
28.6%T opening success
41.7%CT opening success
0.59Enemies flashed / flash
5.3%Flash assists
9.65HE damage / grenade
6.52Flashes / 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

    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 28.5563% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0423%18 Jul
mirage13–40.0426%18 Jul
nuke13–5-0.0526%18 Jul
dust23–13-0.0741%18 Jul
mirage6–13-0.1010%18 Jul
dust26–13-0.0911%18 Jul
anubis9–13-0.0229%18 Jul
ancient9–13-0.0229%18 Jul
anubis2–13-0.0422%17 Jul
dust213–10-0.0811%17 Jul
ancient16–120.0218%17 Jul
cache12–16-0.0724%17 Jul
dust23–13-0.0725%17 Jul
dust27–13-0.0719%15 Jul
cache7–13-0.0033%15 Jul
cache13–7-0.0324%12 Jul
anubis13–1-0.0129%12 Jul
ancient13–40.0119%12 Jul
inferno13–20.0113%12 Jul
ancient11–13-0.0319%11 Jul
mirage13–00.0819%11 Jul
cache13–40.0436%11 Jul
ancient4–13-0.0315%11 Jul
dust24–13-0.1414%11 Jul
anubis10–130.0023%8 Jul
ancient17–190.0220%8 Jul
dust26–13-0.0426%8 Jul
mirage13–5-0.0127%8 Jul
mirage13–11-0.0220%8 Jul
mirage19–150.0226%7 Jul
dust213–70.0923%7 Jul
mirage6–13-0.0227%7 Jul
ancient13–100.0125%7 Jul
dust26–13-0.0226%7 Jul
cache13–11-0.0440%7 Jul
inferno9–13-0.0621%7 Jul
dust29–13-0.0824%3 Jul
inferno8–13-0.0145%3 Jul
dust29–13-0.0412%3 Jul
mirage13–70.0123%2 Jul
dust21–3-0.0150%27 Jun
anubis8–130.0215%24 Jun
mirage13–70.0735%24 Jun
anubis13–9-0.0417%24 Jun
inferno8–130.0426%24 Jun
mirage13–70.0329%23 Jun
inferno13–30.0421%23 Jun
dust213–80.0822%23 Jun
ancient9–13-0.0323%12 Jun
dust21–13-0.1613%12 Jun
dust29–13-0.0132%12 Jun
mirage5–13-0.0314%12 Jun
dust213–11-0.0621%1 May
ancient15–15-0.0513%1 May
anubis9–130.0124%1 May
mirage13–3-0.0213%1 May
dust213–1-0.0216%1 May
anubis5–13-0.0121%1 May
cache13–11-0.0714%1 May
dust213–8-0.0214%24 Apr
mirage10–13-0.0526%24 Apr
dust213–8-0.0520%24 Apr
mirage13–70.0824%24 Apr
inferno15–150.0327%18 Apr
ancient0–13-0.0825%18 Apr
dust212–16-0.0335%18 Apr
mirage2–13-0.0735%18 Apr
inferno7–13-0.0323%18 Apr
ancient9–13-0.1012%18 Apr
dust213–10.0323%18 Apr
mirage3–13-0.0628%18 Apr
anubis2–13-0.0624%18 Apr
inferno6–9-0.0150%20 Feb
mirage13–110.0437%20 Feb
anubis16–13-0.0512%3 Jan
mirage9–13-0.0625%3 Jan
inferno10–13-0.0336%3 Jan
anubis13–50.0024%3 Jan
ancient13–8-0.0533%3 Jan
ancient3–13-0.0519%24 Dec
inferno10–13-0.078%21 Dec
cache_b13–80.0129%21 Dec
dust216–12-0.0430%20 Dec
mirage5–13-0.0722%20 Dec
ancient13–70.0338%20 Dec
anubis9–130.0024%20 Dec
inferno13–10-0.0224%20 Dec
mirage13–5-0.0225%20 Dec
anubis9–13-0.049%13 Dec
inferno13–100.0023%13 Dec
cache_b7–13-0.0619%7 Dec
nuke6–13-0.0425%6 Dec
inferno10–130.0026%6 Dec
ancient13–40.0920%6 Dec
overpass8–13-0.0522%6 Dec
anubis13–110.0124%6 Dec
inferno3–13-0.1213%30 Nov
overpass9–13-0.0325%29 Nov
mirage8–13-0.0131%29 Nov
ancient5–13-0.0417%29 Nov

Match data via Leetify.

Recent teammates

Milestones

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