Feelz — CS2 Stats

76561198001770410[U:1:41504682]

1,723Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidPassive Rifler
Premier CS Rating25,913Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#1248 of 10690 tracked
FaceitLevel 9 · 1,987 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFeelzFACEITLevel 9 · 1,987 ELOSTANDINGTop 20.7% of rankedPREMIER25,913 · Red bandcsdb.gg/stats

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Performance scores

Aim74
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateLLWLLWLWLW

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

Player DNA

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

Aim7.4
Aggression4.0
Utility4.7
Positioning5.0
Opening Duels0.8
Clutch3.2

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 572ms 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

Aim7.4
Positioning5.0
Utility4.7
Mechanics7.9
Opening Duels1.2
Win Impact5.0

Composite 6.0/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time577ms−25ms
first ⅓ avg 603ms → last ⅓ avg 577ms
Headshot accuracy17.1%−4.2%
first ⅓ avg 21.4% → last ⅓ avg 17.1%

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

0.16Best rating — ancient 13–1
131Biggest win — mirage
5Longest win streak
L2Current streak
912In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 82% over 22infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeS2218482%-0.01
mirageC2081240%-0.02
dust2B2091145%-0.01
cacheC125742%-0.00
anubisB105550%0.01
infernoD93633%-0.02
ancientC52340%0.02
overpass220100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

764Matches
49%Win rate
1.02Avg K/D
74.0ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage17248%0.9514.2
Nuke11666%1.0514.4
Dust210643%0.9514.4
Anubis8445%1.0014.5
Inferno6936%0.9614.7
Ancient6053%1.0815.7
Vertigo1747%1.0315.8
Train1354%1.1914.1

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.

17.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
39.2%Spray accuracy
85.3%Counter-strafing
10.6°Preaim
572msReaction time
26.9%T opening success
39.7%CT opening success
0.62Enemies flashed / flash
7.3%Flash assists
9.53HE damage / grenade
4.72Flashes / 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 26.8662% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0116%27 Aug
dust29–13-0.0535%21 Aug
nuke13–5-0.0415%16 Aug
inferno6–13-0.0633%16 Aug
cache5–130.0317%14 Aug
dust213–80.0222%14 Aug
mirage11–13-0.056%14 Aug
inferno13–100.0015%11 Aug
nuke11–13-0.0624%7 Aug
nuke13–10-0.0319%7 Aug
mirage13–1-0.0319%7 Aug
ancient13–10.1615%5 Aug
dust213–10.0421%5 Aug
anubis2–13-0.0113%5 Aug
cache11–13-0.0329%4 Aug
anubis11–13-0.038%4 Aug
nuke6–13-0.0317%2 Aug
inferno13–11-0.105%2 Aug
nuke13–20.1233%2 Aug
mirage3–13-0.0516%1 Aug
dust26–13-0.058%30 Jul
cache14–160.0215%30 Jul
cache19–16-0.0215%29 Jul
mirage13–6-0.0722%28 Jul
nuke13–5-0.0111%28 Jul
cache13–3-0.0211%27 Jul
dust24–13-0.0213%24 Jul
anubis13–70.0321%24 Jul
anubis0–13-0.030%24 Jul
cache13–9-0.0124%23 Jul
dust213–4-0.0224%22 Jul
mirage13–6-0.0316%22 Jul
inferno13–8-0.008%19 Jul
nuke13–11-0.0410%19 Jul
dust212–16-0.0714%18 Jul
nuke13–10-0.0017%18 Jul
inferno11–13-0.0313%16 Jul
cache13–5-0.0220%16 Jul
nuke13–40.024%15 Jul
dust215–15-0.0510%15 Jul
nuke13–7-0.0118%10 Jul
cache6–130.0328%9 Jul
dust213–110.0626%9 Jul
anubis10–13-0.0815%3 Jul
dust29–130.0124%2 Jul
mirage7–13-0.0619%2 Jul
dust213–50.0316%2 Jul
nuke13–4-0.0218%1 Jul
dust211–130.0428%30 Jun
anubis13–30.1214%30 Jun
mirage7–130.0123%30 Jun
inferno14–16-0.0116%29 Jun
cache11–13-0.0617%29 Jun
nuke13–20.0022%28 Jun
mirage13–11-0.038%28 Jun
dust213–80.0024%27 Jun
nuke13–110.0411%26 Jun
nuke10–13-0.0120%25 Jun
cache13–100.0116%25 Jun
overpass13–10-0.0312%24 Jun
nuke13–9-0.0120%23 Jun
dust27–13-0.0312%22 Jun
dust24–13-0.0623%22 Jun
ancient9–13-0.0019%21 Jun
mirage8–130.0319%21 Jun
dust213–110.0121%21 Jun
anubis13–5-0.006%21 Jun
ancient10–13-0.0818%18 Jun
cache5–130.0718%18 Jun
mirage3–13-0.0420%18 Jun
mirage10–13-0.0214%14 Jun
nuke13–9-0.0524%14 Jun
nuke13–30.0319%12 Jun
nuke13–8-0.0716%11 Jun
mirage13–11-0.0433%11 Jun
ancient3–13-0.0310%10 Jun
mirage7–130.0239%10 Jun
anubis3–130.0229%7 Jun
inferno0–13-0.070%4 Jun
mirage6–13-0.069%28 May
dust215–150.0210%26 May
nuke13–11-0.0328%26 May
nuke13–30.0428%25 May
overpass6–40.0228%25 May
nuke13–60.0719%24 May
dust210–130.0228%24 May
inferno11–130.0317%24 May
ancient16–130.0320%22 May
dust213–4-0.0236%22 May
inferno11–130.0524%14 May
mirage13–90.0715%14 May
mirage6–13-0.0420%13 May
mirage13–60.0225%13 May
nuke5–13-0.0814%12 May
mirage11–13-0.0615%11 May
anubis13–50.0929%10 May
cache4–13-0.0625%9 May
mirage13–7-0.0020%8 May
dust213–80.0125%8 May
anubis13–5-0.0030%6 May

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 →