FFreeZe_ — CS2 Stats

76561198358592133[U:1:398326405]✓ No bans

616Tracked matches60%Win rate2024Tracked since
724Hours in CS26Hrs last 2 wks
CSDB Rating6.3 SolidPassive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGFFreeZe_FACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning45
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateWWLLLWWWLW

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

Player DNA

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

Aim7.9
Aggression3.4
Utility6.2
Positioning4.5
Opening Duels0.0
Clutch1.6

Strong CT-side opener

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: 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.

T-side openings. Opening success drops from 42% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 638ms 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

Aim7.9
Positioning4.5
Utility6.2
Mechanics7.4
Opening Duels1.5
Win Impact8.3

Composite 6.3/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time635ms−27ms
first ⅓ avg 662ms → last ⅓ avg 635ms
Headshot accuracy16.9%−0.4%
first ⅓ avg 17.3% → last ⅓ avg 16.9%

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 — ancient 13–3
130Biggest win — train
8Longest win streak
W2Current streak
99In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 83% over 6dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
cacheB25131252%0.00
ancientS1813572%0.02
anubisA1710759%0.01
dust2D102820%-0.03
nukeA95456%-0.00
infernoD72529%-0.04
overpassS65183%0.01
mirage31233%-0.01
office2020%-0.06
train110100%-0.01
debris110100%0.07
vertigo1010%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,641Lifetime kills
1.01K/D
854Matches
41.0%Match win rate
50.5%Headshot % · Top 50% of tracked players
1.9%Shot accuracy
1,420MVPs
474Hours (in match)
696Bombs planted
134Bombs defused

Most-used weapons

Lifetime map wins

1,135inferno
820nuke
630dust2
499vertigo
71train
61office
17italy
2ar_shoots

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

Faceit stats

Combat

123Matches
48%Win rate
1.18Avg K/D
82.3ADR
41%Headshot %

Clutches & streaks

28%1v1 clutch win
27%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient3644%1.1917.1
Anubis3148%1.1918.3
Cache1947%1.2316.8
Dust21060%1.0313.5
Inferno1040%1.0415.1
Mirage838%1.1517.1
Nuke560%1.3017.0
Vertigo3100%1.4917.7

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.

16.3%Headshot accuracy
41.8%Accuracy (enemy spotted)
43.5%Spray accuracy
83.4%Counter-strafing
10.1°Preaim
638msReaction time
17.5%T opening success
42.3%CT opening success
0.58Enemies flashed / flash
10.2%Flash assists
7.62HE damage / grenade
10.53Flashes / 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 17.458% — below the 40% mark we flag

Spend your practice time on Dust 2

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 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–50.0425%23 Aug
ancient13–80.0015%23 Aug
cache10–130.0010%23 Aug
inferno12–16-0.0416%18 Aug
cache6–13-0.0323%18 Aug
ancient13–70.0321%18 Aug
anubis13–100.0310%16 Aug
anubis13–110.0514%16 Aug
ancient7–130.0522%16 Aug
anubis13–7-0.0210%14 Aug
cache8–13-0.0614%14 Aug
ancient13–90.0419%12 Aug
cache16–120.0511%9 Aug
ancient13–80.024%9 Aug
dust25–13-0.096%5 Aug
cache13–4-0.0412%5 Aug
ancient13–9-0.0015%5 Aug
cache13–100.0327%4 Aug
dust211–13-0.0318%4 Aug
anubis13–8-0.0212%4 Aug
dust213–80.0318%4 Aug
cache16–130.0014%27 Jul
ancient10–130.0314%26 Jul
anubis13–4-0.0215%23 Jul
dust211–13-0.0622%22 Jul
ancient8–13-0.0227%20 Jul
ancient13–60.0411%20 Jul
dust216–19-0.0625%20 Jul
ancient7–13-0.057%20 Jul
train13–0-0.0131%20 Jul
inferno10–13-0.1135%20 Jul
nuke10–130.0219%13 Jul
anubis13–40.1114%13 Jul
cache3–13-0.0318%12 Jul
ancient10–130.0316%12 Jul
cache9–13-0.0117%11 Jul
anubis8–130.059%10 Jul
cache5–13-0.0213%10 Jul
inferno13–30.0526%9 Jul
cache13–11-0.0218%9 Jul
debris9–20.0723%9 Jul
ancient13–6-0.0216%8 Jul
cache13–8-0.0110%8 Jul
cache5–13-0.0313%8 Jul
cache13–60.099%6 Jul
inferno4–13-0.039%3 Jul
anubis6–130.0012%3 Jul
ancient16–13-0.049%28 Jun
overpass13–40.0315%28 Jun
overpass13–2-0.0313%27 Jun
nuke3–13-0.0113%27 Jun
cache4–130.0816%27 Jun
anubis13–9-0.064%26 Jun
inferno0–4-0.090%26 Jun
ancient13–70.0315%26 Jun
nuke13–90.0716%26 Jun
anubis11–13-0.0319%25 Jun
inferno4–13-0.0522%25 Jun
mirage14–16-0.0017%22 Jun
nuke13–90.0119%22 Jun
dust211–13-0.0710%22 Jun
anubis8–13-0.055%16 Jun
ancient13–70.0732%16 Jun
overpass13–9-0.0119%14 Jun
mirage6–13-0.0314%31 May
nuke13–110.0516%29 May
dust24–130.0116%29 May
anubis16–14-0.0311%23 May
anubis9–130.0216%22 May
nuke13–5-0.0319%20 May
overpass16–14-0.0118%20 May
anubis15–150.0411%18 May
vertigo11–130.0317%18 May
cache13–90.0210%18 May
ancient13–90.068%17 May
overpass1–10.10100%17 May
nuke9–130.025%17 May
nuke5–13-0.079%16 May
dust211–13-0.0127%13 May
anubis13–70.0117%13 May
cache13–8-0.0315%13 May
dust213–60.0323%12 May
cache8–13-0.048%12 May
cache9–130.0013%11 May
dust20–13-0.0224%11 May
office11–13-0.0311%10 May
office3–13-0.107%10 May
cache12–120.0217%8 May
nuke13–11-0.0523%7 May
ancient13–11-0.039%7 May
anubis15–15-0.0111%7 May
overpass13–11-0.0111%7 May
cache13–10.1117%5 May
mirage13–00.0126%5 May
inferno13–2-0.0210%5 May
ancient13–30.156%3 May
cache13–20.038%3 May
cache13–2-0.0311%1 May
cache13–11-0.0127%1 May
cache7–130.0126%29 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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