Avocade

Avocade — CS2 Stats

US76561197990577710[U:1:30311982]Steam profile ↗✓ No bans

1,300Tracked matches47%Win rate2020Tracked since
CSDB Rating4.9 Developing
Premier CS Rating19,916Purple band · top ~8.8% of ranked players (population est.)
CSDB Leaderboard#12292 of 29259 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAvocadeFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,916 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning50
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52426Last 10052%Win rateWLLLLWWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.8
Aggression5.1
Utility6.2
Positioning5.0
Opening Duels1.2
Clutch0.0

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 88% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

Reaction time. 586ms 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

Aim5.8
Positioning5.0
Utility6.2
Mechanics4.7
Opening Duels1.3
Win Impact3.9

Composite 4.9/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time596ms−30ms
first ⅓ avg 625ms → last ⅓ avg 596ms
Headshot accuracy14.0%−3.1%
first ⅓ avg 17.1% → last ⅓ avg 14.0%

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

0.17Best rating — inferno 11–13
130Biggest win — dust2
10Longest win streak
713In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 18dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientS1812667%0.00
infernoA169756%0.02
cacheB137654%-0.02
dust2D124833%0.00
anubisA117464%-0.00
mirageB105550%0.02
overpassC94544%0.01
vertigoC52340%-0.00
nuke41325%-0.03
train21150%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.70Avg K/D
76.4ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

14.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.9%Spray accuracy
70.9%Counter-strafing
10.4°Preaim
586msReaction time
29.7%T opening success
40.1%CT opening success
0.69Enemies flashed / flash
10.2%Flash assists
6.39HE damage / grenade
7.97Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.4848% — below the 15% mark we flag

    Aim Training
  2. 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 29.6976% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–70.0226%22 Aug
ancient7–13-0.0718%22 Aug
anubis11–13-0.0217%22 Aug
ancient8–130.0016%21 Aug
mirage11–13-0.0215%18 Aug
inferno13–20.0513%18 Aug
cache13–90.0223%9 Aug
anubis13–70.0212%9 Aug
inferno11–13-0.0013%26 Jul
dust22–13-0.0514%14 Jul
mirage11–130.0112%14 Jul
ancient13–60.0510%13 Jul
anubis13–8-0.0313%13 Jul
mirage11–130.0423%13 Jul
cache11–13-0.0124%13 Jul
ancient13–60.016%13 Jul
cache13–3-0.0313%12 Jul
anubis13–30.0716%11 Jul
ancient13–60.048%10 Jul
anubis4–130.0312%10 Jul
cache7–13-0.0410%10 Jul
ancient13–10-0.006%9 Jul
dust24–13-0.0128%9 Jul
cache11–13-0.079%9 Jul
cache13–70.0612%9 Jul
ancient9–13-0.0413%8 Jul
cache8–130.0114%8 Jul
overpass6–13-0.0415%5 Jul
overpass13–11-0.0114%5 Jul
overpass13–110.0113%3 Jul
overpass11–130.0118%2 Jul
cache7–4-0.0911%2 Jul
cache0–2-0.150%2 Jul
dust213–00.079%2 Jul
inferno2–13-0.096%30 Jun
ancient13–80.0212%30 Jun
nuke13–110.0117%29 Jun
vertigo13–20.069%29 Jun
vertigo13–6-0.0117%29 Jun
dust212–120.0214%29 Jun
overpass5–130.019%29 Jun
inferno10–130.0316%29 Jun
train12–12-0.029%28 Jun
mirage11–13-0.0411%28 Jun
nuke12–12-0.0217%28 Jun
inferno9–13-0.0218%27 Jun
dust27–13-0.0119%27 Jun
mirage10–130.0413%26 Jun
cache13–60.0918%26 Jun
dust210–13-0.0711%25 Jun
inferno8–13-0.0213%25 Jun
ancient16–130.038%24 Jun
inferno16–120.0213%24 Jun
ancient16–130.0210%24 Jun
dust215–150.0114%23 Jun
anubis16–13-0.0316%21 Jun
ancient13–40.0429%21 Jun
mirage13–70.0211%21 Jun
anubis13–10-0.028%21 Jun
dust213–8-0.0212%21 Jun
mirage13–90.0313%21 Jun
inferno13–20.1414%20 Jun
mirage13–7-0.047%20 Jun
anubis13–110.017%19 Jun
nuke6–13-0.0626%19 Jun
ancient13–50.0822%18 Jun
overpass13–80.0316%17 Jun
inferno13–8-0.0122%17 Jun
dust213–80.0524%17 Jun
overpass13–9-0.0115%13 Jun
inferno13–70.0417%13 Jun
ancient13–1-0.075%13 Jun
inferno13–110.0227%13 Jun
train13–50.0421%13 Jun
inferno13–10-0.0412%7 Jun
ancient8–13-0.0511%7 Jun
vertigo5–13-0.0224%7 Jun
nuke6–13-0.0614%5 Jun
inferno9–00.0233%5 Jun
vertigo11–13-0.0411%5 Jun
vertigo12–12-0.0018%4 Jun
overpass9–130.0213%3 Jun
anubis13–11-0.0614%3 Jun
dust213–50.0312%2 Jun
overpass7–130.0326%2 Jun
inferno11–130.1714%2 Jun
cache13–6-0.036%2 Jun
anubis5–130.0521%1 Jun
ancient13–11-0.0221%31 May
ancient13–70.0612%31 May
inferno13–50.1014%31 May
cache13–90.0419%31 May
anubis5–13-0.0326%30 May
inferno5–13-0.035%30 May
ancient7–13-0.0228%30 May
dust211–130.0327%30 May
dust26–13-0.0015%28 May
ancient6–130.0210%28 May
mirage13–50.147%28 May
cache12–12-0.0316%28 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →