FrekaFiskeNN — CS2 Stats

76561198008722331[U:1:48456603]

4,839Tracked matches47%Win rate2020Tracked since
CSDB Rating6.1 SolidHybrid Rifler
FaceitLevel 10 · 3,178 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFrekaFiskeNNFACEITLevel 10 · 3,178 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning61
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY5347Last 10053%Win rateLWLLWWLWLL

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

Player DNA

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

Aim7.7
Aggression5.1
Utility6.0
Positioning6.1
Opening Duels1.7
Clutch3.6

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 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.7
Positioning6.1
Utility6.0
Mechanics5.5
Opening Duels1.7
Win Impact3.9

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time528ms−10ms
first ⅓ avg 538ms → last ⅓ avg 528ms
Headshot accuracy25.0%−1.3%
first ⅓ avg 26.4% → last ⅓ avg 25.0%

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

0.19Best rating — nuke 13–1
130Biggest win — overpass
7Longest win streak
810In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 67% over 6infernoWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
ancientB23121152%0.00
nukeA2314961%0.02
infernoC167944%0.01
anubisB147750%-0.01
trainB105550%0.01
dust2A74357%-0.00
overpassS64267%-0.00
vertigo1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,063Matches
53%Win rate
1.24Avg K/D
82.0ADR
60%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient84554%1.1917.4
Nuke60560%1.2617.7
Anubis53552%1.2018.1
Inferno22852%1.1616.4
Overpass21559%1.2818.2
Vertigo19362%1.2919.6
Dust215341%1.0415.8
Train14955%1.1216.5

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.

25.1%Headshot accuracy
36.5%Accuracy (enemy spotted)
37.3%Spray accuracy
74.6%Counter-strafing
11.2°Preaim
536msReaction time
30.9%T opening success
42.9%CT opening success
0.65Enemies flashed / flash
10.6%Flash assists
5.66HE damage / grenade
7.28Flashes / 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 30.9266% — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–130.0241%20 Jul
overpass13–90.0330%25 Apr
ancient7–13-0.0116%25 Apr
nuke7–130.0226%25 Apr
nuke16–130.0324%19 Apr
anubis13–10-0.0626%5 Apr
nuke5–13-0.0621%5 Apr
overpass13–90.0017%5 Apr
ancient9–130.0323%5 Apr
inferno9–13-0.0423%30 Mar
nuke13–10.1928%23 Mar
ancient13–80.0722%7 Mar
overpass14–16-0.0021%1 Mar
ancient7–130.0223%27 Feb
nuke13–50.0320%22 Feb
inferno14–16-0.0230%21 Feb
inferno13–100.0839%20 Feb
overpass13–00.0643%14 Feb
nuke10–130.0110%8 Feb
anubis10–13-0.0617%6 Feb
nuke8–13-0.0038%2 Feb
ancient16–14-0.0123%30 Jan
anubis4–13-0.0126%26 Jan
anubis13–110.0219%24 Jan
nuke13–70.0233%23 Jan
anubis13–100.0419%18 Jan
ancient13–7-0.0319%13 Jan
inferno4–13-0.0425%11 Jan
dust22–13-0.0533%6 Jan
dust27–13-0.0427%5 Jan
nuke7–13-0.0621%2 Jan
ancient13–10-0.0021%29 Dec
inferno11–13-0.0420%16 Sept
train13–80.0120%13 Sept
train13–100.0116%13 Sept
ancient8–13-0.0322%11 Sept
ancient13–100.0325%3 Sept
nuke10–130.0523%26 Aug
overpass7–13-0.0918%26 Aug
ancient13–100.0618%13 Aug
inferno9–13-0.0237%13 Aug
inferno13–80.0017%13 Aug
ancient4–13-0.0138%13 Aug
dust22–13-0.0514%5 Aug
nuke13–90.0525%5 Aug
overpass13–7-0.0014%26 Jul
ancient14–160.0230%18 Jul
anubis5–13-0.0925%13 Jul
nuke8–130.0125%13 Jul
nuke13–110.0134%11 Jul
dust213–100.0129%11 Jul
anubis11–13-0.0127%10 Jul
train6–13-0.0325%10 Jul
ancient13–160.0129%9 Jul
nuke13–9-0.0132%8 Jul
inferno13–110.0327%8 Jul
ancient13–60.0029%24 Jun
dust213–60.0623%23 Jun
nuke13–5-0.0518%23 Jun
train10–13-0.0624%15 Jun
train17–19-0.0222%14 Jun
train7–13-0.0222%5 Jun
inferno3–13-0.0152%24 May
inferno13–50.0936%23 May
nuke13–100.0435%21 May
ancient13–110.0218%21 May
anubis13–7-0.0130%21 May
train13–50.1433%15 May
nuke13–60.0626%15 May
anubis6–13-0.0226%11 May
ancient19–16-0.0327%10 May
inferno5–13-0.0218%7 May
inferno13–11-0.0625%5 May
dust213–50.0726%3 May
ancient11–13-0.0122%24 Apr
inferno13–11-0.0131%23 Apr
nuke13–60.0530%21 Apr
train11–13-0.0029%11 Apr
ancient9–13-0.0312%6 Apr
dust213–8-0.0125%28 Mar
ancient7–130.0026%28 Mar
inferno13–10.1228%3 Mar
anubis8–13-0.0627%25 Feb
nuke13–100.0229%6 Feb
nuke13–10.0929%7 Jan
anubis13–70.0222%5 Jan
nuke11–130.0627%19 Dec
vertigo8–13-0.0225%14 Dec
ancient13–100.0015%3 Dec
inferno7–130.0424%3 Dec
ancient11–13-0.0422%25 Nov
nuke13–70.0638%18 Nov
ancient16–130.0236%18 Nov
train13–70.0438%14 Nov
train13–30.0827%14 Nov
ancient13–70.0214%7 Nov
anubis16–120.0634%3 Sept
anubis16–140.0222%3 Sept
nuke8–13-0.0924%25 Aug
inferno7–130.0532%23 Aug

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
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