Fricks — CS2 Stats

76561198436325573[U:1:476059845]✓ No bans

2,967Tracked matches33%Win rate2020Tracked since
CSDB Rating5.1 DevelopingAggressive Rifler
Premier CS Rating18,256Purple band · top ~15.4% of ranked players (population est.)
CSDB Leaderboard#10214 of 19412 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGFricksPREMIER18,256 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning50
Utility27

0–100 skill scores via Leetify.

Recent form

COLD375112Last 10037%Win rateLWTLLTLLLL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

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

Aim8.1
Aggression7.0
Utility2.7
Positioning5.0
Opening Duels2.4
Clutch1.8

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.

Your pro match

ropz

Plays most like ropz 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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 31 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. 566ms 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
Positioning5.0
Utility2.7
Mechanics6.7
Opening Duels2.4
Win Impact0.0

Composite 5.1/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time572ms−104ms
first ⅓ avg 675ms → last ⅓ avg 572ms
Headshot accuracy19.2%+0.5%
first ⅓ avg 18.7% → last ⅓ avg 19.2%

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 — ancient 13–9
133Biggest win — cache
8Longest win streak
65In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 50% over 12anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC1981142%-0.01
dust2C1881044%-0.02
infernoD134931%0.00
cacheB126650%-0.03
nukeC125742%-0.01
ancientB115645%-0.00
anubisD51420%-0.03
train3030%-0.01
office2020%0.00
boulder2020%0.01
overpass1010%-0.04
vertigo1010%0.03
shelter1010%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

187Matches
50%Win rate
0.89Avg K/D
74.6ADR
37%Headshot %

Clutches & streaks

29%1v1 clutch win
56%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1662%1.1317.5
Ancient1464%1.5917.1
Nuke1070%1.3216.9
Anubis1050%1.0014.3
Mirage1050%0.9814.2
Dust2743%0.7713.1
Inferno667%1.0216.2
Overpass3100%0.767.7

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.

18.9%Headshot accuracy
35.2%Accuracy (enemy spotted)
40.4%Spray accuracy
80.0%Counter-strafing
7.8°Preaim
566msReaction time
36.7%T opening success
42.5%CT opening success
0.55Enemies flashed / flash
5.4%Flash assists
9.54HE damage / grenade
1.92Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.9183 — below the 4 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 36.7413% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0423%28 Aug
inferno13–7-0.0436%27 Aug
dust212–120.0028%27 Aug
nuke11–130.0119%26 Aug
cache11–13-0.0318%25 Aug
ancient12–120.0021%25 Aug
ancient4–13-0.024%23 Aug
dust210–13-0.0612%23 Aug
train2–130.0465%21 Aug
inferno8–13-0.0122%20 Aug
dust213–50.0621%20 Aug
mirage13–5-0.0722%20 Aug
mirage5–13-0.0418%20 Aug
mirage13–80.0610%19 Aug
inferno3–13-0.0732%19 Aug
nuke13–9-0.066%18 Aug
cache12–12-0.1013%18 Aug
ancient13–100.0819%18 Aug
mirage2–13-0.0716%18 Aug
dust212–12-0.0712%17 Aug
office12–12-0.0211%17 Aug
dust25–13-0.040%17 Aug
dust213–9-0.0436%17 Aug
train8–13-0.0620%17 Aug
nuke5–13-0.0315%16 Aug
dust215–150.0222%16 Aug
mirage1–13-0.076%16 Aug
ancient10–130.0216%15 Aug
inferno7–130.0220%14 Aug
cache13–11-0.0812%14 Aug
mirage13–11-0.0317%13 Aug
inferno9–130.0219%13 Aug
mirage5–13-0.0323%12 Aug
mirage13–40.0618%12 Aug
cache13–90.0413%12 Aug
dust215–15-0.046%9 Aug
mirage13–80.0414%9 Aug
ancient13–5-0.0225%9 Aug
nuke13–90.0715%8 Aug
cache13–3-0.0319%8 Aug
dust213–11-0.0318%8 Aug
ancient13–90.0915%8 Aug
nuke13–8-0.057%8 Aug
dust216–14-0.0220%7 Aug
nuke8–130.0133%7 Aug
inferno11–130.0716%7 Aug
overpass9–13-0.0414%5 Aug
office9–130.0319%5 Aug
vertigo8–130.0320%5 Aug
ancient10–13-0.0215%5 Aug
nuke2–13-0.0317%4 Aug
nuke13–80.0324%4 Aug
mirage3–13-0.0716%4 Aug
mirage13–11-0.0416%4 Aug
cache13–9-0.0618%4 Aug
anubis9–13-0.0514%4 Aug
nuke7–13-0.0221%4 Aug
cache13–90.0426%4 Aug
ancient13–8-0.0216%4 Aug
dust213–80.0425%3 Aug
anubis1–8-0.0629%3 Aug
boulder9–13-0.0119%31 Jul
shelter2–80.0133%31 Jul
mirage13–110.0519%30 Jul
inferno13–40.0225%30 Jul
nuke6–13-0.026%30 Jul
mirage13–50.0614%30 Jul
ancient16–120.009%30 Jul
inferno13–40.0416%30 Jul
train7–13-0.0215%30 Jul
cache4–13-0.0217%30 Jul
mirage8–13-0.0615%29 Jul
ancient3–13-0.0816%29 Jul
dust24–13-0.0810%29 Jul
dust26–13-0.0022%29 Jul
mirage5–130.0016%27 Jul
mirage12–12-0.0524%27 Jul
mirage12–16-0.0319%27 Jul
anubis13–90.0323%26 Jul
inferno13–160.0332%26 Jul
cache13–6-0.0516%26 Jul
inferno9–130.0623%26 Jul
cache11–130.0221%26 Jul
inferno13–8-0.0129%25 Jul
mirage12–160.0312%25 Jul
inferno3–13-0.0620%25 Jul
dust213–6-0.0413%23 Jul
anubis7–13-0.0624%22 Jul
dust213–30.0316%22 Jul
dust212–16-0.0726%22 Jul
nuke15–15-0.098%21 Jul
boulder2–130.0316%21 Jul
anubis12–120.0119%21 Jul
nuke13–100.0217%21 Jul
cache12–12-0.015%21 Jul
dust212–12-0.0427%21 Jul
inferno11–13-0.028%20 Jul
mirage1–90.0556%20 Jul
dust213–30.0520%20 Jul
ancient2–13-0.069%20 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →