f1rc — CS2 Stats

76561197960633697[U:1:367969]

1,563Tracked matches43%Win rate2020Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating19,823Purple band · top ~9.2% of ranked players (population est.)
CSDB Leaderboard#18202 of 44517 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGf1rcFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,823 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning43
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50482Last 10050%Win rateWLWLWLWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim7.7
Aggression4.5
Utility6.3
Positioning4.3
Opening Duels0.3
Clutch2.8

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 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower opening-duel success.

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 34 points — deaths here waste a strong aim profile.

Reaction time. 635ms 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

Aim7.7
Positioning4.3
Utility6.3
Mechanics5.8
Opening Duels0.7
Win Impact2.8

Composite 5.3/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time626ms+5ms
first ⅓ avg 621ms → last ⅓ avg 626ms
Headshot accuracy28.9%−0.7%
first ⅓ avg 29.7% → last ⅓ avg 28.9%

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 — mirage 13–4
131Biggest win — mirage
4Longest win streak
86In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 78% over 9mirageWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C27111641%0.03
mirageC2391439%0.05
nukeC146843%-0.01
ancientB115645%0.03
anubisA95456%-0.00
infernoS97278%0.04
overpass440100%0.03
cache330100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

853Matches
52%Win rate
1.23Avg K/D
89.0ADR
54%Headshot %

Clutches & streaks

34%1v1 clutch win
21%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage16854%1.4018.3
Dust27846%1.2518.4
Inferno5645%1.2317.0
Anubis5242%1.1215.6
Ancient5058%1.2516.4
Nuke2339%1.1217.7
Cache1258%1.1919.8
Vertigo450%1.1616.3

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.

29.4%Headshot accuracy
37.6%Accuracy (enemy spotted)
36.1%Spray accuracy
76.2%Counter-strafing
10.8°Preaim
635msReaction time
26.4%T opening success
35.9%CT opening success
0.54Enemies flashed / flash
7.9%Flash assists
12.00HE damage / grenade
12.30Flashes / 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 26.359% — 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.

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–90.0730%24 Aug
mirage10–130.0534%23 Aug
dust213–10-0.0224%23 Aug
anubis8–13-0.0513%19 Aug
cache13–50.0424%19 Aug
nuke8–13-0.0033%18 Aug
anubis13–80.0237%15 Aug
ancient13–80.0628%15 Aug
dust213–160.0331%15 Aug
cache13–8-0.0525%12 Aug
dust213–60.0218%12 Aug
inferno13–50.0445%10 Aug
nuke3–13-0.0525%10 Aug
inferno17–19-0.0434%9 Aug
mirage8–130.1032%9 Aug
anubis7–13-0.0132%27 Jul
dust27–13-0.0326%26 Jul
nuke7–13-0.0821%26 Jul
mirage11–130.0726%26 Jul
dust28–13-0.0842%24 Jul
inferno7–130.0533%20 Jul
mirage7–130.0124%20 Jul
dust213–30.0242%17 Jul
mirage13–10.1424%8 Jul
mirage4–13-0.0516%6 Jul
nuke4–13-0.0135%5 Jul
dust29–130.0128%5 Jul
mirage13–10.0723%4 Jul
dust213–60.0723%4 Jul
anubis13–60.0450%4 Jul
dust211–130.0321%2 Jul
ancient7–13-0.0239%1 Jul
nuke16–14-0.0619%29 Jun
cache13–11-0.0229%29 Jun
ancient16–19-0.0438%28 Jun
anubis15–19-0.0623%28 Jun
dust28–130.0027%27 Jun
mirage13–110.0724%26 Jun
ancient13–50.0531%25 Jun
mirage11–130.0035%24 Jun
mirage9–130.0930%22 Jun
ancient13–110.0543%22 Jun
inferno13–90.0833%21 Jun
mirage4–130.0523%21 Jun
anubis13–80.0445%20 Jun
inferno13–80.0540%20 Jun
nuke13–90.0118%18 Jun
overpass13–110.0427%18 Jun
dust212–160.0421%13 Jun
mirage13–40.1541%13 Jun
nuke13–40.0337%13 Jun
dust213–90.1127%13 Jun
inferno16–140.0517%10 Jun
dust211–13-0.0323%10 Jun
nuke8–13-0.0640%10 Jun
mirage13–9-0.0021%9 Jun
dust213–30.1025%9 Jun
nuke13–90.0529%8 Jun
ancient9–130.0232%8 Jun
mirage5–70.0531%8 Jun
dust29–130.0116%8 Jun
nuke13–9-0.0327%8 Jun
mirage9–130.0426%8 Jun
nuke7–130.0331%8 Jun
mirage0–6-0.130%7 Jun
mirage13–20.0630%7 Jun
ancient1–60.0747%7 Jun
inferno13–60.0519%7 Jun
dust215–150.0441%7 Jun
ancient8–130.0625%7 Jun
dust210–13-0.0333%7 Jun
mirage13–100.0522%7 Jun
inferno13–90.0035%7 Jun
overpass13–70.0215%7 Jun
dust210–130.0736%6 Jun
ancient13–30.0638%6 Jun
dust26–130.0847%6 Jun
anubis13–11-0.0229%6 Jun
nuke13–60.0724%6 Jun
dust213–90.0420%6 Jun
nuke7–13-0.0022%6 Jun
anubis5–13-0.0426%6 Jun
mirage15–150.0629%6 Jun
dust213–80.0420%6 Jun
mirage10–13-0.0138%1 Jun
overpass13–90.0420%1 Jun
ancient5–130.0018%1 Jun
ancient13–20.0543%31 May
nuke8–13-0.0145%31 May
mirage13–70.1224%31 May
dust25–130.0132%31 May
dust23–130.0133%30 May
inferno13–30.0921%30 May
mirage8–130.0830%30 May
dust213–90.0423%30 May
overpass16–140.0024%30 May
dust213–90.0233%30 May
mirage13–70.0143%30 May
dust28–130.0148%30 May
anubis13–60.0723%30 May

Match data via Leetify.

Milestones

1,000 Matches
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