r1c-O

r1c-O — CS2 Stats

DE76561198129711014[U:1:169445286]Steam profile ↗

822Tracked matches57%Win rate2020Tracked since
CSDB Rating6.3 SolidHybrid Rifler
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

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CSDB.GGr1c-OFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning46
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55405Last 10055%Win rateWLWWLWLLLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim8.3
Aggression6.3
Utility5.1
Positioning4.6
Opening Duels2.0
Clutch6.0

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

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

Where you differ: 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 37 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 46% on CT to 30% 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

Aim8.3
Positioning4.6
Utility5.1
Mechanics8.2
Opening Duels2.0
Win Impact7.4

Composite 6.3/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time579ms−46ms
first ⅓ avg 625ms → last ⅓ avg 579ms
Headshot accuracy21.4%−1.5%
first ⅓ avg 22.9% → last ⅓ avg 21.4%

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.

Highlights

0.15Best rating — anubis 12–2
130Biggest win — overpass
4Longest win streak
911In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 71% over 7mirageWeakest map · 43% over 21
MapGradePlayedRecordWin rateAvg rating
infernoB28151354%0.01
mirageC2191243%0.01
anubisA1710759%0.02
nukeS75271%0.01
overpassB63350%0.01
ancientB63350%0.01
dust2B63350%0.02
train440100%0.01
grail21150%0.08
vertigo110100%0.08
whistle110100%0.10
palais1010%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

923Matches
53%Win rate
1.31Avg K/D
86.4ADR
46%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis2568%1.1218.2
Overpass1688%1.4117.5
Inferno1362%1.1417.2
Mirage1030%1.0416.3
Ancient743%1.0415.4
Vertigo333%1.0316.0
Nuke20%0.8415.0

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.

21.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.8%Spray accuracy
86.9%Counter-strafing
9.2°Preaim
581msReaction time
29.6%T opening success
46.3%CT opening success
0.48Enemies flashed / flash
6.0%Flash assists
9.41HE damage / grenade
5.70Flashes / 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 0.4845 — 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 29.6152% — below the 40% mark we flag

Spend your practice time on Mirage

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

43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–70.0220%10 Jun
mirage9–13-0.0227%10 Jun
nuke13–10-0.0415%8 May
inferno14–120.0317%8 May
mirage14–16-0.055%29 Apr
anubis13–40.0324%29 Apr
overpass11–130.0118%13 Apr
mirage5–13-0.0221%13 Apr
ancient7–13-0.0019%5 Apr
mirage10–13-0.0229%5 Apr
inferno13–90.0314%5 Apr
inferno13–110.0126%13 Feb
inferno11–130.0021%10 Jan
mirage13–8-0.0020%10 Jan
mirage13–80.0621%9 Jan
inferno9–13-0.0224%9 Jan
mirage13–80.0125%9 Jan
mirage13–100.0218%6 Jan
overpass13–100.0824%6 Jan
inferno10–130.0730%6 Jan
inferno13–50.0715%3 Jan
overpass6–13-0.0821%22 Dec
inferno13–7-0.0114%22 Dec
overpass13–00.0644%25 Aug
grail12–120.0725%25 Aug
anubis11–13-0.0120%21 Aug
anubis13–50.0021%21 Aug
ancient7–13-0.0424%21 Aug
overpass13–100.0212%15 Aug
ancient12–120.0033%15 Aug
ancient13–60.0620%20 Jul
overpass7–13-0.0424%20 Jul
ancient13–5-0.0213%13 Jul
inferno13–110.0219%13 Jul
nuke4–13-0.0318%13 Jul
anubis13–80.006%12 Jul
inferno16–130.0218%12 Jul
mirage3–13-0.0320%12 Jul
inferno13–6-0.0213%11 Jul
anubis13–60.0321%11 Jul
mirage9–130.0116%11 Jul
anubis13–90.0324%8 Jul
inferno9–130.0319%8 Jul
dust213–90.0223%8 Jul
mirage13–100.0422%8 Jul
mirage11–130.0019%6 Jul
grail13–30.0941%6 Jul
inferno11–13-0.0420%6 Jul
inferno13–100.0932%6 Jul
inferno5–13-0.0420%3 Jul
nuke16–140.0125%3 Jul
mirage5–13-0.0332%3 Jul
dust211–13-0.0122%25 May
mirage13–40.0933%24 May
anubis12–20.1523%24 May
inferno10–130.0225%24 May
ancient13–20.0727%24 May
inferno13–90.0119%24 May
inferno11–13-0.0624%22 May
anubis9–13-0.0115%14 May
nuke13–80.0320%22 Apr
anubis6–13-0.0123%22 Apr
dust27–130.0429%21 Apr
mirage11–130.0519%21 Apr
anubis13–20.1218%21 Apr
dust213–100.0428%3 Apr
inferno8–130.0414%3 Apr
train13–50.0218%27 Mar
anubis15–150.0325%27 Mar
vertigo9–70.0834%27 Feb
whistle9–40.1036%27 Feb
mirage13–70.1323%26 Feb
anubis5–130.0516%26 Feb
inferno13–80.0316%26 Feb
inferno14–160.0726%25 Feb
nuke9–7-0.0339%25 Feb
mirage15–150.0526%22 Feb
inferno9–13-0.0228%22 Feb
anubis13–50.0123%22 Feb
dust23–13-0.0527%21 Feb
mirage10–13-0.089%21 Feb
inferno13–100.1016%18 Feb
mirage13–80.0526%18 Feb
anubis7–130.0024%18 Feb
dust213–70.0529%18 Feb
palais2–9-0.079%18 Feb
inferno4–9-0.1123%16 Feb
nuke13–60.0426%11 Feb
anubis8–13-0.0622%11 Feb
train13–70.0221%7 Feb
mirage13–80.0526%29 Jan
mirage11–13-0.0520%23 Jan
inferno13–11-0.0017%23 Jan
train13–9-0.0315%7 Jan
nuke12–120.0922%2 Jan
inferno9–130.0430%2 Jan
train13–30.028%18 Dec
anubis13–50.0428%18 Dec
anubis13–11-0.0218%9 Oct
inferno16–14-0.0129%9 Oct

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
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