freeze-_-

freeze-_- — CS2 Stats

DE76561198039443132[U:1:79177404]Steam profile ↗VAC banned

3,028Tracked matches59%Win rate2020Tracked since
CSDB Rating6.6 SolidAggressive Rifler
Premier CS Rating27,639Top 5% of 44,590 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#1272 of 60568 tracked
FaceitLevel 10 · 2,107 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGfreeze-_-FACEITLevel 10 · 2,107 ELOSTANDINGTop 12.4% of rankedPREMIER27,639 · Red bandcsdb.gg/stats

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Performance scores

Aim71
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY62362Last 10062%Win rateTWWLLWLWLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.1
Aggression7.3
Utility6.0
Positioning6.2
Opening Duels3.4
Clutch3.8

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

iM

Plays most like iM 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 54% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim7.1
Positioning6.2
Utility6.0
Mechanics6.1
Opening Duels3.4
Win Impact7.9

Composite 6.6/10 (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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time578ms−36ms
first ⅓ avg 614ms → last ⅓ avg 578ms
Headshot accuracy16.3%−1.3%
first ⅓ avg 17.6% → last ⅓ avg 16.3%

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

0.25Best rating — cache 3–1
131Biggest win — anubis
9Longest win streak
87In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 75% over 12ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA29161355%0.02
dust2S2315865%0.03
mirageB126650%0.01
anubisS129375%0.03
nukeS107370%0.01
infernoS86275%0.00
ancientC52340%0.07
alpine110100%0.14

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,401Matches
51%Win rate
1.05Avg K/D
79.7ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno7555%0.9515.0
Anubis7351%1.0416.5
Mirage5145%1.0317.0
Dust24762%1.1716.0
Ancient4340%0.9715.4
Nuke4358%1.0916.6
Cache2259%1.0915.2
Overpass1953%1.0614.9

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.

16.1%Headshot accuracy
38.0%Accuracy (enemy spotted)
42.7%Spray accuracy
77.5%Counter-strafing
11.3°Preaim
582msReaction time
33.1%T opening success
54.4%CT opening success
0.56Enemies flashed / flash
7.2%Flash assists
8.85HE damage / grenade
14.92Flashes / 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. 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 33.0503% — below the 40% mark we flag

Spend your practice time on Ancient

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–120.0314%30 Aug
mirage16–140.0612%30 Aug
dust213–50.0017%30 Aug
mirage9–13-0.0322%30 Aug
dust22–13-0.0213%30 Aug
cache13–11-0.0320%29 Aug
dust28–130.1320%29 Aug
cache13–50.0113%29 Aug
dust211–13-0.0113%29 Aug
dust213–7-0.0121%29 Aug
cache6–13-0.0421%29 Aug
dust210–130.0617%29 Aug
dust213–50.0220%28 Aug
nuke13–50.0521%28 Aug
inferno13–11-0.0428%28 Aug
cache16–130.0110%28 Aug
cache11–130.0114%28 Aug
inferno16–120.0122%28 Aug
dust213–90.0217%23 Aug
cache13–9-0.0416%21 Aug
nuke16–130.0418%21 Aug
anubis9–13-0.0214%21 Aug
nuke14–16-0.0414%21 Aug
cache19–16-0.0311%21 Aug
cache13–20.067%21 Aug
cache4–13-0.047%21 Aug
inferno13–11-0.0219%20 Aug
dust213–40.0022%20 Aug
anubis9–13-0.0715%20 Aug
cache5–13-0.018%18 Aug
dust213–100.0115%17 Aug
nuke6–130.0023%16 Aug
cache12–16-0.0315%16 Aug
anubis13–80.0612%16 Aug
dust213–60.1224%15 Aug
cache8–130.0416%13 Aug
dust211–13-0.0013%13 Aug
anubis13–10.0416%13 Aug
ancient5–130.0424%13 Aug
anubis13–50.0113%9 Aug
cache3–10.2521%9 Aug
nuke13–10.0815%9 Aug
nuke13–9-0.0119%9 Aug
ancient8–130.0217%9 Aug
inferno13–60.0215%31 Jul
dust213–3-0.0613%31 Jul
anubis13–90.0110%28 Jul
dust210–00.0610%28 Jul
cache9–13-0.0416%28 Jul
cache8–130.0121%28 Jul
anubis13–10-0.0117%26 Jul
nuke7–0-0.0318%26 Jul
cache13–70.0524%25 Jul
dust213–70.0423%25 Jul
cache13–10.0720%25 Jul
cache13–50.0322%22 Jul
nuke12–00.048%22 Jul
cache13–50.0110%22 Jul
cache11–130.1216%21 Jul
cache13–50.0417%17 Jul
inferno5–13-0.0317%17 Jul
anubis13–50.1824%17 Jul
ancient13–30.1515%1 Jul
dust211–130.1121%27 Jun
mirage2–130.0410%27 Jun
mirage13–70.1110%24 Jun
inferno11–130.0122%18 Jun
dust25–130.024%15 Jun
nuke3–13-0.0015%14 Jun
mirage10–7-0.057%14 Jun
anubis12–120.1117%14 Jun
mirage4–13-0.0826%12 Jun
cache13–70.0519%11 Jun
dust213–90.0015%11 Jun
cache6–13-0.069%10 Jun
mirage13–100.0117%8 Jun
mirage1–13-0.0214%7 Jun
dust213–30.0722%7 Jun
dust213–70.0516%6 Jun
cache13–110.1013%6 Jun
anubis13–50.0622%5 Jun
dust29–130.0216%5 Jun
cache13–50.0323%4 Jun
cache0–80.0220%4 Jun
dust213–10.0515%4 Jun
nuke9–6-0.0216%2 Jun
anubis13–30.0526%2 Jun
mirage6–130.0110%2 Jun
mirage3–130.0416%1 Jun
cache1–13-0.0318%1 Jun
ancient8–130.0815%1 Jun
dust213–80.0133%1 Jun
inferno13–110.0636%27 May
cache13–80.0417%27 May
mirage13–40.0924%26 May
mirage13–7-0.068%23 May
ancient13–110.0819%18 May
alpine13–60.1415%18 May
anubis13–10-0.0110%18 May
inferno13–60.0326%18 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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