FRIKI

FRIKI — CS2 Stats

76561198343251682[U:1:382985954]Steam profile ↗

1,256Tracked matches59%Win rate2021Tracked since
2,190Hours in CS5Hrs last 2 wks
CSDB Rating4.9 Developing
Premier CS Rating18,376Purple band · top ~15% of ranked players (population est.)
CSDB Leaderboard#15643 of 31732 tracked
FaceitLevel 6 · 1,279 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate37.7%44.9%46.2%8.5% short
Shot accuracy12.0%11.8%12.5%0.5% short
Kill/death ratio1.051.041.06meets
Match win rate45.1%45.3%45.9%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFRIKIFACEITLevel 6 · 1,279 ELOSTANDINGTop 54.0% of rankedPREMIER18,376 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning46
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY47449Last 10047%Win rateTWWLWWWLLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim5.0
Aggression7.9
Utility3.7
Positioning4.6
Opening Duels3.8
Clutch7.2

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 82% playstyle similarity

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

Where you differ: lower positioning profile; lower aim 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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim5.0
Positioning4.6
Utility3.7
Mechanics5.1
Opening Duels4.1
Win Impact7.9

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 time620ms−13ms
first ⅓ avg 633ms → last ⅓ avg 620ms
Headshot accuracy17.4%−1.8%
first ⅓ avg 19.1% → last ⅓ avg 17.4%

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

0.28Best rating — inferno 9–5
131Biggest win — dust2
6Longest win streak
49In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 63% over 8trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC31131842%-0.00
mirageA159660%-0.00
dust2B126650%-0.01
cacheB84450%-0.00
ancientA85363%0.01
trainC83538%0.05
nukeB63350%-0.04
anubisC52340%-0.02
overpass42250%0.04
vertigo2020%-0.08
eldorado1010%0.01

Across the last 100 tracked matches.

Lifetime stats

70,091Lifetime kills
1.05K/D · Top 50% of Level 6 players
3,407Matches
45.1%Match win rate
37.7%Headshot %
12.0%Shot accuracy · Top 50% of Level 6 players
8,018MVPs
1,506Hours (in match)
1,385Bombs planted
656Bombs defused

Most-used weapons

AK-4716,431
AWP15,213
MAC-103,293
P2502,684
MP92,050

Lifetime map wins

5,819inferno
2,820dust2
915nuke
820train
619cbble
432vertigo
24dust
13lake

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

Faceit stats

Combat

41Matches
46%Win rate
1.00Avg K/D
80.9ADR
48%Headshot %

Clutches & streaks

56%1v1 clutch win
18%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1747%0.9115.3
Ancient560%1.3017.2
Dust2425%0.9119.0
Nuke333%0.7412.7
Inferno367%0.9613.3

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.

17.1%Headshot accuracy
30.7%Accuracy (enemy spotted)
27.8%Spray accuracy
73.0%Counter-strafing
8.8°Preaim
620msReaction time
27.7%T opening success
62.7%CT opening success
0.38Enemies flashed / flash
5.8%Flash assists
12.39HE damage / grenade
3.96Flashes / 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 0.3832 — 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 27.6809% — below the 40% mark we flag

Spend your practice time on Train

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
vertigo8–8-0.0020%29 Aug
cache13–100.0321%29 Aug
inferno13–80.0016%28 Aug
anubis9–13-0.0315%26 Aug
cache16–12-0.0414%23 Aug
ancient13–10-0.0111%21 Aug
dust213–10.0824%19 Aug
anubis9–13-0.0813%16 Aug
mirage7–130.0316%14 Aug
train13–80.1221%14 Aug
mirage13–40.068%12 Aug
train8–130.017%8 Aug
cache13–2-0.068%5 Aug
dust24–70.0236%2 Aug
dust28–13-0.0115%2 Aug
inferno13–60.0243%1 Aug
inferno13–2-0.0312%30 Jul
mirage11–13-0.0317%30 Jul
inferno1–7-0.246%29 Jul
inferno9–2-0.0125%29 Jul
dust21–9-0.079%26 Jul
mirage8–13-0.0211%26 Jul
inferno9–70.0530%25 Jul
nuke7–9-0.097%25 Jul
nuke13–5-0.0425%25 Jul
inferno13–9-0.0010%25 Jul
dust27–13-0.0420%24 Jul
dust211–130.0013%24 Jul
ancient15–150.0225%23 Jul
inferno7–130.0515%22 Jul
eldorado7–90.0126%21 Jul
ancient13–100.0211%21 Jul
dust216–12-0.0022%19 Jul
dust213–8-0.0612%19 Jul
inferno13–100.0221%19 Jul
mirage13–40.0619%18 Jul
nuke13–90.0226%18 Jul
dust26–13-0.077%12 Jul
cache6–13-0.0119%11 Jul
cache9–130.0016%11 Jul
nuke14–16-0.0111%10 Jul
cache6–13-0.1126%9 Jul
ancient13–9-0.0217%9 Jul
cache11–130.0620%5 Jul
inferno11–13-0.0310%1 Jul
inferno5–13-0.0210%1 Jul
ancient15–150.0121%27 Jun
inferno13–70.0123%24 Jun
inferno2–9-0.228%19 Jun
mirage1–10-0.0750%19 Jun
inferno8–8-0.0314%19 Jun
train9–130.0710%19 Jun
inferno12–12-0.0213%18 Jun
inferno6–9-0.049%17 Jun
inferno8–80.0536%17 Jun
overpass7–90.0410%17 Jun
inferno2–9-0.0819%17 Jun
mirage3–13-0.0625%17 Jun
inferno3–9-0.1424%16 Jun
anubis13–16-0.0516%12 Jun
inferno12–00.028%12 Jun
inferno8–80.0914%11 Jun
mirage7–13-0.0119%11 Jun
overpass13–90.1127%11 Jun
overpass12–120.0913%10 Jun
mirage13–5-0.0110%10 Jun
nuke2–8-0.140%10 Jun
anubis13–5-0.0132%10 Jun
dust213–60.0316%9 Jun
inferno9–00.1319%9 Jun
train13–8-0.0515%8 Jun
vertigo2–9-0.155%7 Jun
anubis13–90.0515%7 Jun
train7–130.0715%6 Jun
train8–130.0711%6 Jun
inferno7–9-0.0520%5 Jun
train13–40.0722%5 Jun
nuke11–30.0315%4 Jun
mirage13–2-0.0126%4 Jun
mirage13–60.0326%2 Jun
mirage13–1-0.0117%2 Jun
inferno8–8-0.0016%1 Jun
inferno13–100.0917%31 May
cache13–50.0823%31 May
inferno5–90.0316%31 May
inferno13–110.0923%30 May
mirage13–110.0617%30 May
ancient5–13-0.0618%30 May
train7–130.0828%29 May
dust213–9-0.0310%29 May
ancient10–10.1017%27 May
dust213–50.0046%27 May
inferno5–13-0.0415%27 May
inferno1–80.0155%26 May
inferno9–50.2818%26 May
mirage16–130.0114%25 May
ancient13–50.039%24 May
mirage13–7-0.0214%24 May
inferno3–13-0.0510%23 May
overpass13–11-0.0615%23 May

Match data via Leetify.

Milestones

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