Blue Footed Booby

Blue Footed Booby — CS2 Stats

US76561198098934782[U:1:138669054]Steam profile ↗✓ No bans

3,921Tracked matches48%Win rate2021Tracked since
4,705Hours in CS29Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating25,000Red band · top ~3% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGBlue Footed BoobyPREMIER25,000 · Red bandcsdb.gg/stats

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Performance scores

Aim70
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWWLWLWTWWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +15ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 508ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 554ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim7.0
Utility5.7
Positioning5.5
Opening Duels2.4
Clutch5.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.0
Positioning5.5
Utility5.7
Mechanics5.7
Opening Duels3.0
Win Impact4.4

Composite 5.9/10 (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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time559ms+6ms
first ⅓ avg 553ms → last ⅓ avg 559ms
Headshot accuracy21.1%+2.7%
first ⅓ avg 18.4% → last ⅓ avg 21.1%

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.

Personal bests

0.33Best match rating · 9–2 · inferno, 15 Oct →
37%Best headshot accuracy · 13–9 · anubis, 8 Nov →
383msFastest reaction time · 8–13 · inferno, 14 Nov →
13–0Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
7–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 67% over 6mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2112–957%0.01
anubisA1911–858%0.02
cacheA169–756%0.02
nukeC135–838%0.03
mirageD113–827%0.01
infernoD72–529%0.07
ancientS64–267%0.01
vertigo—21–150%0.12
office—20–20%-0.00
train—21–150%0.06
overpass—10–10%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,850Lifetime kills
1.13K/D
7,265Matches
46.1%Match win rate
42.8%Headshot %
9.7%Shot accuracy
15,587MVPs
3,121Hours (in match)
6,156Bombs planted
1,880Bombs defused

Most-used weapons

AK-4734,706
AWP14,138
MP93,387
MAC-102,875
P902,628

Lifetime map wins

14,869dust2
8,301inferno
5,718nuke
3,477vertigo
1,396train
653office
265lake
165cbble

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

Faceit stats

Combat

236Matches
58%Win rate
1.15Avg K/D
76.7ADR
49%Headshot %

Clutches & streaks

45%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5961%1.1014.6
Anubis4772%1.2216.4
Dust24450%1.1215.1
Inferno2540%0.8913.4
Vertigo2176%1.6116.9
Ancient1953%1.2613.5
Nuke1644%1.0013.9
Overpass20%0.6610.5

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.

20.8%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.5%Spray accuracy
75.8%Counter-strafing
10.1°Preaim
548msReaction time
36.1%T opening success
47.9%CT opening success
0.51Enemies flashed / flash
6.6%Flash assists
9.95HE damage / grenade
8.18Flashes / 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 36.1111% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0514%15 Nov →
vertigo13–50.1119%14 Nov →
inferno8–13-0.0433%14 Nov →
cache13–60.1022%13 Nov →
cache11–13-0.0511%13 Nov →
ancient5–1-0.0333%13 Nov →
mirage15–150.0327%12 Nov →
dust213–30.0118%12 Nov →
dust213–9-0.0211%12 Nov →
nuke6–13-0.0220%12 Nov →
dust213–50.0331%12 Nov →
mirage10–130.0427%12 Nov →
nuke3–130.0425%11 Nov →
office2–13-0.0221%11 Nov →
mirage8–130.0623%10 Nov →
anubis13–70.0823%10 Nov →
anubis5–13-0.0815%9 Nov →
dust213–90.0413%9 Nov →
mirage1–13-0.0521%9 Nov →
inferno10–130.0626%9 Nov →
mirage13–30.0219%9 Nov →
dust27–13-0.0717%9 Nov →
anubis1–13-0.0418%9 Nov →
dust213–110.0214%9 Nov →
nuke16–130.0013%9 Nov →
anubis9–130.0718%9 Nov →
anubis13–8-0.0325%9 Nov →
dust26–13-0.0116%9 Nov →
dust29–130.0122%8 Nov →
anubis13–90.0437%8 Nov →
cache13–110.0315%8 Nov →
nuke13–70.0423%8 Nov →
train4–130.1027%7 Nov →
anubis13–80.0333%7 Nov →
nuke11–130.0426%7 Nov →
dust213–10.0825%7 Nov →
dust213–70.0223%7 Nov →
dust216–140.0525%7 Nov →
cache13–80.1017%7 Nov →
ancient11–130.0222%5 Nov →
anubis8–13-0.0330%5 Nov →
train13–110.0213%5 Nov →
nuke13–40.0636%5 Nov →
cache9–130.0429%3 Nov →
nuke13–60.0528%3 Nov →
dust211–130.0821%27 Oct →
mirage6–130.0028%27 Oct →
dust213–10-0.0422%27 Oct →
anubis13–60.0614%27 Oct →
cache12–120.0031%27 Oct →
inferno10–130.0622%27 Oct →
anubis10–130.0215%26 Oct →
anubis8–13-0.0227%26 Oct →
office5–130.0228%26 Oct →
anubis4–130.1311%26 Oct →
nuke2–80.0621%26 Oct →
vertigo9–130.1227%26 Oct →
cache13–100.0214%24 Oct →
anubis13–70.1022%24 Oct →
anubis13–11-0.0212%24 Oct →
anubis9–130.0312%24 Oct →
overpass10–130.0226%23 Oct →
cache7–13-0.0418%23 Oct →
mirage13–00.0113%23 Oct →
dust213–9-0.0223%23 Oct →
cache8–13-0.044%22 Oct →
ancient13–5-0.0417%22 Oct →
dust25–120.0414%22 Oct →
ancient3–130.0124%22 Oct →
inferno13–60.0233%22 Oct →
cache13–5-0.0222%20 Oct →
dust212–160.0218%20 Oct →
ancient13–10-0.0120%20 Oct →
nuke13–40.094%20 Oct →
inferno8–13-0.0313%20 Oct →
nuke4–130.0221%19 Oct →
dust216–130.0324%19 Oct →
cache13–110.0425%19 Oct →
anubis13–70.0129%19 Oct →
dust29–13-0.0519%19 Oct →
cache12–16-0.059%16 Oct →
mirage7–13-0.029%16 Oct →
dust215–15-0.0713%16 Oct →
dust216–140.0524%16 Oct →
cache13–8-0.0323%16 Oct →
ancient13–40.0917%16 Oct →
mirage6–13-0.0315%16 Oct →
cache11–130.0519%16 Oct →
cache13–40.1417%16 Oct →
inferno9–20.3321%15 Oct →
nuke6–90.0117%15 Oct →
nuke8–130.0313%14 Oct →
dust24–13-0.046%14 Oct →
inferno9–130.0626%14 Oct →
anubis13–90.0224%14 Oct →
anubis13–10-0.0215%14 Oct →
mirage4–13-0.0717%14 Oct →
nuke7–13-0.067%14 Oct →
mirage13–20.1528%14 Oct →
cache13–90.0322%13 Oct →

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 →

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