Squeebo — CS2 Stats

76561198089748175[U:1:129482447]

1,886Tracked matches48%Win rate2023Tracked since
CSDB Rating6.4 SolidHybrid Rifler
Premier CS Rating19,316Purple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#13533 of 30052 tracked
Ladder ranks via Leetify

Share this profile

CSDB.GGSqueeboPREMIER19,316 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim89
Positioning46
Utility50

0–100 skill scores via Leetify.

Recent form

COLD53416Last 10053%Win rateWLLLLLTWLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.9
Aggression5.7
Utility5.0
Positioning4.6
Opening Duels2.4

Sharp aimerExcellent counter-strafingStrong 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.

Your pro match

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 43 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.

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning4.6
Utility5.0
Mechanics9.0
Opening Duels2.4
Win Impact4.4

Composite 6.4/10 (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 rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time539ms−60ms
first ⅓ avg 599ms → last ⅓ avg 539ms
Headshot accuracy17.6%−1.2%
first ⅓ avg 18.8% → last ⅓ avg 17.6%

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

0.20Best rating — dust2 4–0
131Biggest win — dust2
7Longest win streak
78In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 61% over 23cacheWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A23131057%-0.01
nukeA2314961%-0.02
infernoA159660%-0.02
ancientB115645%-0.01
cacheC104640%0.02
mirageC94544%-0.03
vertigo32167%0.03
train21150%-0.06
anubis2020%-0.01
debris110100%-0.06
office1010%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

3Matches
0%Win rate
0.42Avg K/D
ADR
58%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.233.0
Anubis10%0.436.0
Overpass10%0.5910.0

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.

18.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
41.5%Spray accuracy
90.7%Counter-strafing
7.9°Preaim
523msReaction time
29.7%T opening success
49.2%CT opening success
0.69Enemies flashed / flash
4.6%Flash assists
7.72HE damage / grenade
6.57Flashes / 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 29.6836% — below the 40% mark we flag

Spend your practice time on Cache

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
debris9–5-0.0610%23 Aug
vertigo8–130.0413%23 Aug
dust211–13-0.0222%23 Aug
inferno8–13-0.0310%23 Aug
mirage5–13-0.0417%23 Aug
inferno3–9-0.1443%22 Aug
nuke8–8-0.027%22 Aug
vertigo9–10.1514%22 Aug
train8–13-0.0819%22 Aug
mirage7–13-0.0116%22 Aug
cache7–13-0.0411%21 Aug
dust28–13-0.044%21 Aug
inferno7–13-0.0612%21 Aug
cache13–100.0519%19 Aug
inferno16–14-0.0617%19 Aug
nuke13–110.0016%19 Aug
nuke13–10-0.0620%17 Aug
nuke12–16-0.0128%17 Aug
inferno13–60.1222%15 Aug
ancient10–130.0420%15 Aug
nuke7–13-0.0326%15 Aug
inferno16–13-0.0211%14 Aug
dust213–10.0520%14 Aug
nuke13–10-0.0522%14 Aug
dust29–13-0.0110%14 Aug
ancient15–15-0.0723%12 Aug
nuke13–8-0.0417%12 Aug
inferno13–40.0119%12 Aug
mirage13–9-0.0513%11 Aug
ancient13–30.067%11 Aug
dust211–13-0.0522%11 Aug
nuke13–9-0.0124%11 Aug
nuke8–130.0030%4 Aug
ancient13–9-0.0233%3 Aug
nuke13–110.0719%3 Aug
dust213–50.0215%3 Aug
ancient1–13-0.1230%23 Jul
dust27–130.0216%23 Jul
ancient13–10-0.088%23 Jul
inferno13–9-0.0321%22 Jul
dust213–7-0.0230%22 Jul
cache10–13-0.0114%22 Jul
ancient13–40.0615%22 Jul
anubis9–13-0.043%22 Jul
inferno13–110.0117%22 Jul
ancient11–13-0.0020%20 Jul
dust213–3-0.0219%20 Jul
inferno13–60.0022%20 Jul
dust213–8-0.0617%20 Jul
inferno13–11-0.0417%20 Jul
inferno13–8-0.006%19 Jul
nuke13–7-0.0614%19 Jul
cache13–40.0420%19 Jul
ancient10–13-0.0340%19 Jul
dust28–13-0.0614%18 Jul
dust213–4-0.0421%18 Jul
nuke13–7-0.0215%18 Jul
nuke16–12-0.0315%15 Jul
inferno12–12-0.0114%14 Jul
mirage15–15-0.0020%13 Jul
cache13–16-0.0426%13 Jul
dust213–6-0.0120%13 Jul
ancient9–130.0412%13 Jul
cache2–20.1632%13 Jul
mirage13–70.0515%13 Jul
office4–13-0.004%11 Jul
cache5–13-0.016%10 Jul
dust213–5-0.0120%10 Jul
nuke8–2-0.119%10 Jul
nuke8–13-0.0526%9 Jul
cache13–100.0118%9 Jul
mirage13–4-0.0335%9 Jul
nuke2–13-0.0630%9 Jul
anubis12–120.0325%9 Jul
nuke12–12-0.0316%7 Jul
vertigo13–9-0.0922%7 Jul
inferno14–16-0.039%29 Jun
dust214–160.0318%29 Jun
dust24–00.2025%29 Jun
inferno5–130.0323%29 Jun
nuke11–13-0.0114%29 Jun
mirage9–13-0.0719%28 Jun
cache5–13-0.046%27 Jun
mirage13–16-0.0522%27 Jun
ancient13–8-0.0216%26 Jun
nuke13–8-0.0311%26 Jun
dust216–14-0.0443%26 Jun
dust213–11-0.0114%26 Jun
nuke13–10-0.0111%26 Jun
nuke13–30.0421%25 Jun
mirage13–7-0.0525%25 Jun
dust29–130.0112%25 Jun
dust26–00.0621%25 Jun
cache13–30.0631%24 Jun
dust29–13-0.0917%24 Jun
nuke8–13-0.013%24 Jun
dust211–13-0.0420%24 Jun
train13–6-0.0429%23 Jun
dust213–9-0.0811%22 Jun
nuke4–0-0.040%22 Jun

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 →