the sizzler — CS2 Stats

76561198074819995[U:1:114554267]

1,622Tracked matches62%Win rate2020Tracked since
CSDB Rating6.3 SolidHybrid Rifler
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGthe sizzlerFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning57
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY42553Last 10042%Win rateLLWWWTWWLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim6.8
Aggression6.9
Utility6.1
Positioning5.7
Opening Duels2.6
Clutch5.2

Strong CT-side openerEffective flashes

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

b1t

Plays most like b1t 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 50% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 670ms 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

Aim6.8
Positioning5.7
Utility6.1
Mechanics7.0
Opening Duels2.6
Win Impact9.0

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 rating0.03−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time683ms+25ms
first ⅓ avg 658ms → last ⅓ avg 683ms
Headshot accuracy21.9%+4.0%
first ⅓ avg 17.9% → last ⅓ avg 21.9%

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

0.25Best rating — dust2 13–8
130Biggest win — dust2
9Longest win streak
L2Current streak
46In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 51% over 35infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B35181751%0.06
mirageB178947%0.02
ancientD103730%0.03
cacheC94544%0.06
infernoD82625%0.03
nukeD82625%0.05
overpassB63350%0.04
anubis41325%0.04
train31233%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches
52%Win rate
1.47Avg K/D
108.5ADR
46%Headshot %

Clutches & streaks

46%1v1 clutch win
50%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2667%1.5221.8
Mirage450%2.2523.5
Inferno250%1.9022.5
Nuke1100%1.5927.0
Anubis1100%2.0729.0

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.

20.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
36.2%Spray accuracy
81.6%Counter-strafing
7.4°Preaim
670msReaction time
31.0%T opening success
50.1%CT opening success
0.80Enemies flashed / flash
7.2%Flash assists
9.72HE damage / grenade
9.62Flashes / 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 31.0335% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0321%5 Aug
dust211–13-0.0423%4 Aug
dust213–0-0.020%2 Jul
ancient13–5-0.0417%2 Jul
dust213–40.0420%2 Jul
mirage15–150.0124%2 Jul
ancient13–10-0.0120%2 Jul
overpass13–5-0.0621%25 Jun
dust22–4-0.00100%25 Jun
mirage5–0-0.048%25 Jun
mirage7–4-0.060%25 Jun
mirage13–60.0214%25 Jun
mirage13–4-0.0013%25 Jun
dust213–40.0323%25 Jun
mirage13–50.1026%25 Jun
dust213–20.0018%25 Jun
mirage13–30.0117%25 Jun
inferno13–30.0320%25 Jun
mirage9–130.0016%24 Jun
mirage7–130.0317%23 Jun
ancient7–13-0.0411%15 Jun
inferno8–13-0.0126%14 Jun
anubis5–130.0218%7 Jun
dust211–130.0619%6 Jun
dust213–60.2019%6 Jun
inferno4–120.0016%4 Jun
dust213–90.2021%4 Jun
dust213–80.2523%4 Jun
dust26–13-0.0450%3 Jun
dust213–40.2231%3 Jun
mirage9–130.0722%1 Jun
mirage13–60.0621%1 Jun
dust213–100.1029%15 May
dust213–80.039%15 May
ancient10–130.1115%15 May
anubis13–20.1317%15 May
inferno11–130.0621%15 May
dust29–130.1024%15 May
cache13–30.1819%14 May
mirage7–13-0.0240%13 May
cache4–11-0.0370%11 May
cache13–80.0336%11 May
cache11–13-0.0219%11 May
cache13–60.0417%10 May
cache13–110.0715%9 May
dust213–10.1433%7 May
cache10–130.0119%6 May
cache9–130.0818%6 May
cache12–120.1720%6 May
anubis6–13-0.009%1 Apr
dust27–130.0731%29 Mar
overpass16–130.0816%29 Mar
dust21–13-0.0424%13 Feb
nuke5–13-0.0123%12 Feb
mirage5–130.0114%12 Feb
mirage8–130.0520%11 Feb
dust27–130.0832%10 Feb
dust29–13-0.0214%9 Feb
ancient7–130.086%9 Feb
mirage13–110.1114%9 Feb
anubis8–130.023%5 Feb
dust23–130.0612%24 Jan
dust213–100.1313%24 Jan
ancient8–130.0211%19 Jan
train13–40.117%19 Jan
overpass8–13-0.0312%19 Jan
inferno6–130.0122%14 Jan
dust213–60.2111%13 Jan
ancient13–100.0113%13 Jan
dust213–60.0818%13 Jan
dust28–130.0516%11 Jan
nuke7–130.0314%11 Jan
ancient8–130.0824%11 Jan
inferno9–130.0616%10 Jan
dust212–12-0.0114%6 Jan
nuke10–130.0116%4 Jan
overpass13–80.1812%4 Jan
nuke6–130.0815%4 Jan
train11–130.0823%4 Jan
dust22–13-0.1025%4 Jan
nuke5–130.0423%4 Jan
dust24–13-0.0121%3 Jan
overpass6–130.0719%3 Jan
nuke16–140.0613%3 Jan
nuke13–100.1211%2 Jan
dust213–40.0728%2 Jan
train3–13-0.0722%2 Jan
dust212–160.0713%2 Jan
nuke7–130.0518%28 Dec
dust24–130.0127%28 Dec
dust213–110.0723%28 Dec
ancient10–130.0617%24 Dec
dust213–70.1517%24 Dec
inferno13–100.0625%24 Dec
inferno8–130.0117%22 Dec
dust213–90.0328%22 Dec
overpass1–13-0.0215%21 Dec
mirage5–13-0.0311%21 Dec
mirage5–13-0.0114%18 Dec
ancient4–130.0211%18 Dec

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 →