sn0fm0ffel — CS2 Stats

76561198853584217[U:1:893318489]✓ No bans

397Tracked matches41%Win rate2023Tracked since
CSDB Rating6.2 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim78
Positioning62
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateLWWWLLLLWL

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

Player DNA

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

Aim7.8
Aggression9.5
Utility5.6
Positioning6.2
Opening Duels4.7

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

donk

Plays most like donk 92% playstyle similarity

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

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 →

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 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim7.8
Positioning6.2
Utility5.6
Mechanics7.1
Opening Duels4.7
Win Impact2.1

Composite 6.2/10 (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 rating0.04−0.02
first ⅓ avg 0.07 → last ⅓ avg 0.04
Reaction time598ms−18ms
first ⅓ avg 616ms → last ⅓ avg 598ms
Headshot accuracy22.2%−3.4%
first ⅓ avg 25.5% → last ⅓ avg 22.2%

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

0.37Best rating — inferno 13–5
130Biggest win — cache
7Longest win streak
43In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 6overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B29151452%0.06
mirageB24111346%0.06
nukeD134931%0.05
infernoB137654%0.06
ancientS64267%0.10
overpassD51420%0.02
trainA53260%0.11
anubis31233%-0.03
cache21150%0.11

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.4%Headshot accuracy
33.9%Accuracy (enemy spotted)
31.4%Spray accuracy
82.1%Counter-strafing
7.0°Preaim
594msReaction time
34.5%T opening success
62.7%CT opening success
0.55Enemies flashed / flash
5.2%Flash assists
8.79HE damage / grenade
12.92Flashes / 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 34.5048% — below the 40% mark we flag

Spend your practice time on Overpass

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

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
cache2–130.0527%19 Jul
mirage13–40.1518%19 Jul
mirage11–10.1523%5 Jul
dust213–110.0126%5 Jul
mirage6–130.0321%5 Jul
anubis4–130.0719%5 Jul
mirage3–13-0.0224%5 Jul
nuke3–130.0120%5 Jul
overpass13–20.0450%28 Jun
nuke4–13-0.0612%28 Jun
mirage3–130.0532%28 Jun
nuke13–40.1721%27 Jun
cache13–00.1834%27 Jun
overpass6–130.0016%14 Jun
dust24–13-0.0410%14 Jun
nuke15–150.0717%14 Jun
dust24–130.0122%13 Jun
inferno2–13-0.0440%13 Jun
nuke11–130.1025%12 Jun
nuke13–70.0322%6 Jun
ancient13–30.0725%5 Jun
anubis0–2-0.140%5 Jun
mirage1–13-0.0525%5 Jun
mirage13–110.0423%5 Jun
nuke1–130.0120%31 May
dust28–13-0.0125%31 May
mirage13–60.0713%31 May
ancient8–130.1019%31 May
dust213–70.1519%22 May
mirage13–50.1419%18 May
dust27–130.0322%12 Apr
dust213–20.1518%12 Apr
overpass1–13-0.0325%12 Apr
mirage4–130.1415%21 Mar
mirage16–130.0716%21 Mar
dust23–13-0.0610%21 Mar
overpass9–130.0215%19 Mar
inferno13–160.0517%15 Mar
dust23–130.0319%15 Mar
nuke6–130.0425%15 Mar
inferno2–13-0.0124%15 Mar
nuke9–130.0130%27 Feb
dust215–150.1222%25 Feb
dust24–130.0221%12 Feb
mirage7–130.0926%10 Feb
mirage14–160.0922%7 Feb
inferno4–13-0.0031%7 Feb
mirage6–13-0.0116%7 Feb
inferno7–130.0823%7 Feb
dust24–130.1028%7 Feb
dust213–5-0.0130%1 Feb
mirage15–150.0525%1 Feb
mirage13–90.0413%1 Feb
inferno13–40.0915%24 Jan
dust27–130.1026%24 Jan
inferno13–50.3724%24 Jan
inferno13–90.0814%24 Jan
ancient10–130.0221%17 Jan
dust213–100.040%17 Jan
inferno13–40.0515%17 Jan
dust213–90.1432%17 Jan
inferno1–13-0.1329%17 Jan
dust216–130.0715%11 Jan
dust29–130.0526%11 Jan
ancient13–70.2227%11 Jan
mirage0–4-0.0225%11 Jan
dust25–130.0328%11 Jan
mirage13–30.0731%14 Dec
dust213–00.0546%14 Dec
mirage13–90.1419%14 Dec
nuke6–130.1126%12 Dec
inferno13–50.0920%6 Dec
mirage5–130.0113%6 Dec
dust213–10.1732%6 Dec
train6–130.1626%5 Dec
inferno13–40.1619%5 Dec
mirage6–130.1223%5 Dec
overpass7–130.0517%21 Nov
train13–70.1139%21 Nov
dust27–130.1124%21 Nov
train13–100.0926%21 Nov
mirage13–80.0316%15 Nov
mirage13–90.0329%15 Nov
ancient13–110.0922%15 Nov
mirage8–13-0.0620%15 Nov
nuke13–90.0518%31 Oct
dust213–10.0630%31 Oct
anubis13–11-0.0119%31 Oct
dust213–100.0624%28 Sept
dust213–80.0834%28 Sept
dust213–10.0329%28 Sept
ancient13–70.0923%21 Sept
nuke0–13-0.0010%21 Sept
inferno13–6-0.0419%21 Sept
dust23–130.0326%21 Sept
dust213–60.0219%14 Sept
train13–60.1144%13 Sept
train9–130.0722%13 Sept
dust213–40.0755%6 Sept
nuke13–20.1024%6 Sept

Match data via Leetify.

Recent teammates

Milestones

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