Tony Ravioli

Tony Ravioli — CS2 Stats

76561198075608555[U:1:115342827]Steam profile ↗

2,145Tracked matches50%Win rate2020Tracked since
4,746Hours in CS12Hrs last 2 wks
CSDB Rating6.1 SolidHybrid Rifler
Premier CS Rating25,666Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#2278 of 20024 tracked
Ladder ranks via Leetify

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CSDB.GGTony RavioliPREMIER25,666 · Red bandcsdb.gg/stats

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Performance scores

Aim86
Positioning46
Utility44

0–100 skill scores via Leetify.

Recent form

COLD47494Last 10047%Win rateLLTLWLWWTL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

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

Aim8.6
Aggression4.5
Utility4.4
Positioning4.6
Opening Duels1.2
Clutch0.8

Sharp aimerLimited 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 90% playstyle similarity

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

Where you differ: lower positioning profile; lower utility contribution.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.6
Positioning4.6
Utility4.4
Mechanics6.4
Opening Duels1.5
Win Impact5.0

Composite 6.1/10 (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 time524ms−15ms
first ⅓ avg 539ms → last ⅓ avg 524ms
Headshot accuracy18.4%+0.4%
first ⅓ avg 17.9% → last ⅓ avg 18.4%

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

0.11Best rating — ancient 16–13
133Biggest win — dust2
5Longest win streak
L2Current streak
88In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 73% over 11anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheC2591636%0.02
dust2B2091145%-0.02
mirageB157847%-0.01
ancientS118373%0.01
infernoA116555%-0.03
anubisD82625%-0.02
nukeC73443%-0.00
overpass220100%-0.05
office110100%0.09

Across the last 100 tracked matches.

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

Lifetime stats

109,441Lifetime kills
1.05K/D · Top 50% of tracked players
5,118Matches
45.5%Match win rate
40.7%Headshot %
15.1%Shot accuracy · Top 50% of tracked players
12,391MVPs
2,319Hours (in match)
9,224Bombs planted
1,328Bombs defused

Most-used weapons

AK-4740,751
AWP10,687
P2502,559
FAMAS2,529
Tec-92,195

Lifetime map wins

7,438dust2
5,795inferno
3,242nuke
3,018train
2,226cbble
2,210vertigo
141office
30italy

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

Faceit stats

Combat

291Matches
50%Win rate
1.13Avg K/D
81.6ADR
43%Headshot %

Clutches & streaks

24%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis3247%0.9615.6
Mirage3142%0.9515.0
Ancient2839%0.9416.3
Inferno2548%0.8514.3
Vertigo2255%0.9717.1
Dust21856%1.1017.2
Train560%0.8714.6
Overpass4100%1.4215.5

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.

18.7%Headshot accuracy
38.8%Accuracy (enemy spotted)
41.6%Spray accuracy
78.6%Counter-strafing
7.7°Preaim
524msReaction time
27.3%T opening success
41.9%CT opening success
0.68Enemies flashed / flash
1.1%Flash assists
9.55HE damage / grenade
4.96Flashes / 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 27.2989% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke8–130.0111%28 Aug
anubis9–13-0.0511%25 Aug
dust215–15-0.0233%25 Aug
ancient4–13-0.0216%23 Aug
dust213–100.0012%23 Aug
dust25–13-0.067%23 Aug
inferno13–6-0.0412%22 Aug
inferno13–100.0524%22 Aug
anubis15–15-0.0119%22 Aug
dust29–130.0318%18 Aug
dust213–9-0.0127%16 Aug
mirage5–13-0.0523%15 Aug
nuke13–5-0.0126%14 Aug
cache11–13-0.0014%14 Aug
mirage13–40.0117%13 Aug
nuke8–130.0518%9 Aug
dust213–10-0.0216%9 Aug
dust213–3-0.0625%7 Aug
ancient13–7-0.0025%2 Aug
dust26–130.0120%2 Aug
dust25–13-0.0214%31 Jul
dust213–16-0.0722%27 Jul
inferno13–7-0.0310%25 Jul
anubis13–11-0.0223%25 Jul
ancient19–160.038%24 Jul
mirage4–13-0.0919%22 Jul
mirage15–190.0123%19 Jul
anubis10–130.0216%19 Jul
mirage13–50.0931%19 Jul
dust213–60.0517%19 Jul
dust29–13-0.037%18 Jul
inferno11–13-0.0026%18 Jul
ancient16–13-0.0014%18 Jul
ancient14–160.0111%18 Jul
dust28–130.0215%18 Jul
cache13–11-0.0421%18 Jul
dust216–12-0.0925%18 Jul
cache9–130.0019%18 Jul
dust216–14-0.0116%18 Jul
cache9–130.0016%17 Jul
cache5–40.1030%17 Jul
nuke13–8-0.0229%17 Jul
anubis10–13-0.0215%16 Jul
mirage11–13-0.0419%16 Jul
mirage13–5-0.0044%16 Jul
cache14–160.0310%12 Jul
ancient13–11-0.0520%12 Jul
ancient1–13-0.0613%12 Jul
mirage16–130.0722%12 Jul
cache13–40.1039%12 Jul
inferno16–13-0.0423%12 Jul
office13–80.0916%12 Jul
dust213–4-0.0117%12 Jul
inferno15–15-0.0517%5 Jul
dust213–5-0.0216%5 Jul
anubis5–13-0.0215%5 Jul
nuke3–11-0.0435%2 Jul
anubis13–60.0016%30 Jun
dust212–16-0.0120%30 Jun
inferno7–13-0.065%30 Jun
mirage7–13-0.0017%26 Jun
nuke9–13-0.0314%26 Jun
inferno13–10-0.0315%25 Jun
inferno13–9-0.0224%14 Jun
ancient16–130.1115%9 Jun
dust27–13-0.0015%8 Jun
mirage4–13-0.0615%3 Jun
cache13–110.0614%31 May
inferno14–16-0.0815%23 May
cache5–130.0121%23 May
cache7–130.0517%23 May
ancient13–60.0821%17 May
anubis10–13-0.0811%17 May
cache13–10-0.0213%17 May
cache10–130.0517%15 May
overpass13–9-0.085%15 May
ancient13–30.0714%14 May
cache13–90.0516%14 May
cache8–130.0218%13 May
cache13–30.0519%10 May
mirage1–4-0.0150%10 May
inferno7–13-0.0319%10 May
ancient2–00.000%10 May
mirage16–120.0424%10 May
cache8–13-0.0320%9 May
cache12–12-0.0125%9 May
mirage13–8-0.0217%8 May
cache13–3-0.0624%7 May
mirage1–13-0.0146%5 May
cache0–3-0.040%5 May
cache7–13-0.0317%3 May
overpass13–6-0.0216%3 May
dust25–13-0.106%3 May
mirage13–11-0.0218%3 May
nuke13–50.0317%3 May
cache5–130.0111%3 May
cache11–130.0220%3 May
cache7–130.0230%3 May
cache13–80.0618%3 May
cache11–130.0315%3 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 →