Absolute Defeat

Absolute Defeat — CS2 Stats

76561198052273941[U:1:92008213]Steam profile ↗✓ No bans

82Tracked matches64%Win rate2025Tracked since
CSDB Rating4.9 DevelopingSupport
Ladder ranks via Leetify

Performance scores

Aim34
Positioning42
Utility52

0–100 skill scores via Leetify.

Recent form

HOT37–42–3Last 8245%Win rateWWWWLWWTWW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating · +5.6pp headshot accuracy · +150ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 851ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 844ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 769ms

Newest first, from the last 82 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 (+1.6 against its own average).

Aim3.4
Utility5.2
Positioning4.2
Opening Duels1.4

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 67% 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

T-side openings. Opening success drops from 42% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 794ms 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

Aim3.4
Positioning4.2
Utility5.2
Mechanics7.3
Opening Duels1.5
Win Impact9.8

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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time785ms+4ms
first ⅓ avg 781ms → last ⅓ avg 785ms
Headshot accuracy18.2%−1.6%
first ⅓ avg 19.8% → last ⅓ avg 18.2%

Rolling 5-match average across the last 82 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 13–2 · dust2, 16 Aug →
50%Best headshot accuracy · 1–13 · overpass, 15 Jan →
422msFastest reaction time · 1–13 · anubis, 15 Aug →
13–0Biggest win · anubis, 28 Jul →

Across the last 82 tracked matches.

Highlights

5Longest win streak
W4Current streak
4–1In matches decided by ≤2 rounds

Map breakdown

trainBest map · 71% over 7nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.02
anubisA106–460%-0.02
infernoA95–456%-0.01
nukeD81–713%-0.03
trainS75–271%0.01
mirageS64–267%-0.03
cacheD51–420%-0.10
ancientD51–420%-0.09
warden—21–150%-0.00
overpass—20–20%-0.07
office—10–10%-0.09
vertigo—11–0100%0.03

Across the last 82 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke 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.

18.9%Headshot accuracy
29.8%Accuracy (enemy spotted)
31.3%Spray accuracy
83.0%Counter-strafing
12.2°Preaim
794msReaction time
21.1%T opening success
41.6%CT opening success
0.61Enemies flashed / flash
3.8%Flash assists
7.70HE damage / grenade
9.93Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2196° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 793.5134ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Nuke

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.0417%5 Sept →
mirage10–00.0318%5 Sept →
dust213–7-0.0421%18 Aug →
dust213–7-0.0126%18 Aug →
dust27–13-0.0221%18 Aug →
inferno13–30.1121%17 Aug →
mirage13–4-0.0223%17 Aug →
inferno12–12-0.0616%16 Aug →
dust213–4-0.0122%16 Aug →
dust213–6-0.0222%16 Aug →
inferno5–10.026%16 Aug →
dust213–60.0622%16 Aug →
dust213–20.1712%16 Aug →
nuke12–12-0.0118%15 Aug →
nuke9–13-0.0413%15 Aug →
anubis1–13-0.0814%15 Aug →
dust21–13-0.0621%15 Aug →
dust26–13-0.0219%12 Aug →
train13–5-0.0417%12 Aug →
inferno4–13-0.028%10 Aug →
cache0–13-0.1519%9 Aug →
dust28–13-0.0216%1 Aug →
train13–11-0.074%1 Aug →
inferno13–40.0420%1 Aug →
cache5–13-0.1022%29 Jul →
anubis2–13-0.1033%28 Jul →
anubis13–3-0.0118%28 Jul →
anubis13–00.0233%28 Jul →
mirage13–8-0.0026%28 Jul →
train9–10.1318%28 Jul →
train1–13-0.0217%28 Jul →
anubis13–4-0.046%28 Jul →
dust213–8-0.0214%28 Jul →
dust28–13-0.0811%28 Jul →
nuke9–40.0619%28 Jul →
dust29–130.0012%26 Jul →
nuke0–8-0.0533%26 Jul →
anubis13–20.0429%25 Jul →
ancient2–13-0.070%23 Jul →
anubis8–13-0.0624%23 Jul →
dust23–13-0.0530%23 Jul →
anubis9–00.0020%20 Jul →
ancient2–13-0.1625%18 Jun →
dust29–13-0.0717%7 Jun →
office6–13-0.0920%3 Jun →
dust213–11-0.1015%17 May →
dust211–13-0.019%8 May →
inferno13–10-0.0118%2 May →
train13–10.0518%2 May →
ancient13–4-0.0714%2 May →
anubis13–60.0321%1 May →
vertigo13–30.0313%30 Apr →
cache2–13-0.127%30 Apr →
cache13–8-0.0320%30 Apr →
cache4–13-0.077%30 Apr →
inferno13–11-0.0424%19 Apr →
dust213–40.0721%19 Apr →
warden5–13-0.0424%24 Mar →
dust26–13-0.077%16 Mar →
ancient4–13-0.086%16 Mar →
dust213–10.059%12 Mar →
inferno0–13-0.1120%28 Feb →
warden13–80.0316%23 Feb →
nuke2–13-0.0915%15 Feb →
dust22–13-0.0712%15 Feb →
mirage4–13-0.0610%29 Jan →
dust213–70.0611%22 Jan →
nuke3–13-0.0732%20 Jan →
inferno6–13-0.0120%20 Jan →
dust212–12-0.0913%20 Jan →
ancient8–13-0.0725%20 Jan →
nuke7–130.0133%19 Jan →
train1–13-0.0133%19 Jan →
dust24–13-0.0510%19 Jan →
train13–90.037%18 Jan →
overpass1–13-0.1150%15 Jan →
anubis1–13-0.0443%15 Jan →
overpass4–13-0.0422%14 Jan →
mirage13–11-0.096%5 Jan →
mirage3–13-0.0329%30 Dec →
dust26–13-0.0817%30 Dec →
nuke7–13-0.0519%27 Dec →

Match data via Leetify.

Recent teammates

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.