Tubby Toucan

Tubby Toucan — CS2 Stats

US76561198143822981[U:1:183557253]Steam profile ↗✓ No bans

3,589Tracked matches53%Win rate2020Tracked since
CSDB Rating5.0 Developing
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#7592 of 16899 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGTubby ToucanFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning52
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateWWLLWLLWWL

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

Player DNA

Aim4.8
Aggression6.2
Utility6.4
Positioning5.2
Opening Duels3.0
Clutch2.8

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

T-side openings. Opening success drops from 51% on CT to 33% 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.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning5.2
Utility6.4
Mechanics4.2
Opening Duels3.0
Win Impact6.1

Composite 5.0/10 (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-0.02−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time592ms−30ms
first ⅓ avg 621ms → last ⅓ avg 592ms
Headshot accuracy19.4%−1.3%
first ⅓ avg 20.8% → last ⅓ avg 19.4%

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

0.27Best rating — sanctum 9–1
131Biggest win — mirage
6Longest win streak
W2Current streak
911In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 67% over 9mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientC1981142%-0.01
infernoC1771041%-0.03
anubisB137654%-0.01
poseidonA117464%0.04
cacheS96367%-0.01
nukeB84450%-0.01
mirageC83538%-0.03
overpassC52340%0.04
sanctumA53260%0.01
dust242250%-0.00
vertigo1010%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

517Matches
50%Win rate
0.88Avg K/D
72.0ADR
46%Headshot %

Clutches & streaks

34%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5852%0.8813.7
Anubis5358%0.9215.2
Mirage5351%0.7712.6
Inferno2025%0.7713.8
Vertigo1145%0.9915.7
Train1050%0.7413.7
Nuke667%0.7510.8
Overpass60%0.8112.2

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.

19.4%Headshot accuracy
30.0%Accuracy (enemy spotted)
35.6%Spray accuracy
68.8%Counter-strafing
11.6°Preaim
594msReaction time
33.2%T opening success
50.7%CT opening success
0.61Enemies flashed / flash
8.3%Flash assists
12.98HE damage / grenade
12.16Flashes / 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 33.1768% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–70.0316%26 Aug
cache13–30.0429%26 Aug
cache2–6-0.059%6 Aug
nuke7–13-0.0114%6 Aug
ancient13–11-0.0212%6 Aug
mirage3–13-0.0120%6 Aug
inferno7–13-0.0424%6 Aug
ancient13–9-0.0315%31 Jul
ancient13–11-0.0215%31 Jul
cache14–16-0.0910%31 Jul
dust213–50.0241%22 Jul
mirage10–13-0.0321%22 Jul
inferno3–13-0.0239%16 Jul
anubis13–8-0.0621%16 Jul
inferno3–13-0.0717%14 Jul
cache13–80.0010%14 Jul
ancient13–5-0.0328%14 Jul
cache16–12-0.0221%14 Jul
nuke11–130.0134%12 Jul
inferno13–70.0421%12 Jul
inferno8–13-0.1014%11 Jul
ancient5–13-0.0613%11 Jul
anubis13–50.1015%11 Jul
inferno13–8-0.0316%11 Jul
cache13–5-0.0217%10 Jul
ancient4–13-0.0919%10 Jul
dust29–130.0222%10 Jul
nuke11–13-0.0118%3 Jul
anubis13–3-0.046%3 Jul
ancient16–130.0326%30 Jun
overpass11–130.0615%29 Jun
ancient9–130.0120%29 Jun
mirage6–13-0.0523%29 Jun
inferno13–30.0519%29 Jun
anubis9–13-0.0413%29 Jun
anubis3–13-0.0917%29 Jun
ancient7–13-0.043%19 Jun
dust211–13-0.0521%19 Jun
ancient14–16-0.0114%16 Jun
anubis4–13-0.0318%16 Jun
ancient8–13-0.0020%16 Jun
inferno4–13-0.089%16 Jun
ancient8–130.0522%16 Jun
mirage13–10-0.0517%10 Jun
ancient12–12-0.0215%10 Jun
mirage13–110.0110%4 Jun
poseidon7–90.039%4 Jun
poseidon9–20.1126%4 Jun
poseidon7–9-0.0622%2 Jun
inferno13–3-0.0324%2 Jun
sanctum9–6-0.0711%2 Jun
poseidon8–8-0.153%2 Jun
inferno11–130.0327%29 May
overpass13–110.0621%29 May
nuke13–10-0.0217%29 May
anubis9–130.0317%28 May
inferno16–13-0.0211%28 May
inferno13–90.0615%28 May
anubis13–9-0.0026%28 May
anubis13–7-0.0716%27 May
overpass6–13-0.0317%26 May
ancient13–110.0528%26 May
anubis14–16-0.0114%26 May
nuke16–130.0128%26 May
nuke13–11-0.0618%20 May
cache13–10-0.0230%20 May
mirage13–1-0.0321%19 May
ancient4–13-0.0314%19 May
nuke6–13-0.0421%29 Apr
cache12–120.0913%29 Apr
cache13–10-0.0330%29 Apr
ancient8–13-0.0321%25 Apr
anubis13–100.0816%25 Apr
ancient13–40.1018%25 Apr
sanctum2–9-0.1230%21 Apr
inferno9–13-0.0621%21 Apr
poseidon9–40.1227%21 Apr
sanctum9–10.2725%21 Apr
anubis13–70.0427%21 Apr
poseidon8–8-0.018%21 Apr
poseidon9–70.0224%8 Apr
sanctum9–70.0832%8 Apr
poseidon9–10.1929%8 Apr
poseidon9–30.1138%8 Apr
poseidon9–5-0.0722%8 Apr
poseidon9–20.1416%8 Apr
sanctum5–9-0.1110%8 Apr
inferno12–12-0.1112%4 Apr
nuke13–110.0030%4 Apr
dust213–80.0118%4 Apr
anubis9–13-0.0516%2 Apr
mirage12–12-0.0415%2 Apr
vertigo12–120.0719%2 Apr
inferno13–10-0.0118%1 Apr
overpass11–13-0.0216%1 Apr
mirage7–13-0.0236%1 Apr
inferno5–13-0.063%28 Mar
ancient4–13-0.0422%28 Mar
overpass13–60.1116%28 Mar
inferno7–13-0.0523%28 Mar

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 →