shaquille.oatmeal

shaquille.oatmeal — CS2 Stats

76561198432612048[U:1:472346320]Steam profile ↗✓ No bans

141Tracked matches45%Win rate2021Tracked since
CSDB Rating4.9 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,839 -178 19 Feb – 24 Jun · 26 days played
7,10011,604peak 11,60419 Feb24 Jun
12,006Peak Premier in tracked matches
36Days played since 2025-02-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim58
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateTLWLWLWWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +2.8pp headshot accuracy · +28ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 672ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 668ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 654ms

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).

Aim5.8
Utility5.4
Positioning4.8
Opening Duels3.0

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 84% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 645ms 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
Positioning4.8
Utility5.4
Mechanics5.9
Opening Duels2.2
Win Impact3.3

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 rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time653ms−26ms
first ⅓ avg 678ms → last ⅓ avg 653ms
Headshot accuracy14.7%−0.8%
first ⅓ avg 15.6% → last ⅓ avg 14.7%

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

0.15Best match rating · 13–1 · mirage, 21 Jun →
33%Best headshot accuracy · 13–3 · mirage, 20 Feb →
406msFastest reaction time · 1–13 · inferno, 1 Jun →
13–0Biggest win · mirage, 20 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%0.02
nukeB209–1145%0.03
dust2B178–947%0.01
infernoD155–1033%-0.01
anubisB105–550%0.02
ancientA85–363%-0.01
vertigo—31–233%0.01
train—21–150%-0.01
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.1%Headshot accuracy
36.5%Accuracy (enemy spotted)
37.1%Spray accuracy
76.6%Counter-strafing
10.9°Preaim
645msReaction time
33.7%T opening success
43.6%CT opening success
0.58Enemies flashed / flash
7.8%Flash assists
7.04HE damage / grenade
16.01Flashes / 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 33.6554% — below the 40% mark we flag

Spend your practice time on Inferno

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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–120.0812%3 Dec →
mirage6–130.0510%3 Dec →
mirage13–50.0318%3 Dec →
nuke4–13-0.0319%3 Dec →
nuke13–30.0918%3 Dec →
vertigo8–130.0424%20 Nov →
overpass13–8-0.018%16 Nov →
vertigo13–110.0320%16 Nov →
nuke11–130.1117%16 Nov →
dust213–30.1422%1 Nov →
anubis13–110.018%1 Nov →
nuke13–30.1117%1 Nov →
nuke13–10.0223%1 Nov →
dust21–13-0.0514%20 Oct →
mirage8–130.0313%20 Oct →
inferno6–130.0313%15 Oct →
mirage13–90.0615%15 Oct →
nuke10–13-0.019%15 Oct →
dust27–13-0.058%9 Oct →
inferno8–130.0218%9 Oct →
vertigo2–13-0.040%7 Oct →
nuke13–40.0515%7 Oct →
mirage8–13-0.0326%5 Oct →
nuke13–160.0319%5 Oct →
mirage10–130.0416%5 Oct →
nuke9–130.0813%28 Jun →
nuke3–13-0.089%24 Jun →
anubis13–40.0713%24 Jun →
mirage13–90.0720%24 Jun →
ancient13–11-0.037%22 Jun →
inferno7–13-0.0618%22 Jun →
mirage13–90.068%22 Jun →
mirage7–130.0917%22 Jun →
nuke16–140.0420%21 Jun →
mirage13–10.1512%21 Jun →
dust26–13-0.0325%20 Jun →
inferno12–16-0.0223%20 Jun →
anubis11–130.016%18 Jun →
inferno2–13-0.0617%18 Jun →
ancient13–7-0.0312%16 Jun →
anubis16–140.029%16 Jun →
train13–10.0517%16 Jun →
inferno13–70.0523%15 Jun →
mirage13–11-0.0023%15 Jun →
nuke13–10-0.029%14 Jun →
dust213–30.0417%14 Jun →
dust26–130.0019%14 Jun →
nuke9–13-0.094%13 Jun →
mirage13–9-0.0421%13 Jun →
dust25–13-0.019%13 Jun →
ancient13–90.027%13 Jun →
ancient7–13-0.0118%12 Jun →
dust213–30.0614%12 Jun →
inferno15–15-0.067%12 Jun →
mirage11–130.0127%11 Jun →
dust28–13-0.0110%11 Jun →
nuke6–10.0729%11 Jun →
dust24–13-0.0117%9 Jun →
nuke13–80.039%9 Jun →
ancient13–70.0417%8 Jun →
train2–13-0.0819%8 Jun →
inferno2–3-0.060%8 Jun →
inferno13–70.1115%8 Jun →
dust213–60.0513%8 Jun →
dust213–9-0.035%8 Jun →
mirage11–13-0.0011%7 Jun →
anubis3–13-0.0532%4 Jun →
anubis10–130.0716%4 Jun →
mirage9–130.0317%3 Jun →
dust213–30.1221%3 Jun →
mirage13–40.007%3 Jun →
nuke10–130.0720%2 Jun →
inferno1–13-0.108%1 Jun →
anubis13–80.0613%1 Jun →
dust213–7-0.0026%1 Jun →
dust213–8-0.0516%1 Jun →
ancient8–130.0119%1 Jun →
nuke10–13-0.0220%31 May →
mirage3–130.0115%31 May →
mirage5–13-0.0222%31 May →
anubis13–60.0411%31 May →
dust22–130.0329%31 May →
mirage13–110.099%31 May →
inferno11–130.1321%30 May →
inferno13–8-0.180%28 May →
mirage6–13-0.077%28 May →
anubis7–6-0.060%28 May →
mirage8–130.0118%27 May →
nuke13–7-0.0311%27 May →
ancient13–6-0.0213%25 May →
nuke10–13-0.0018%25 May →
anubis7–13-0.0026%21 Feb →
ancient9–13-0.0119%21 Feb →
mirage12–16-0.087%21 Feb →
dust20–13-0.0618%21 Feb →
inferno13–50.039%21 Feb →
mirage13–00.0012%20 Feb →
inferno13–00.1426%20 Feb →
mirage13–3-0.0033%20 Feb →
inferno5–13-0.087%19 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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