b a k e d

b a k e d — CS2 Stats

76561198242840812[U:1:282575084]Steam profile ↗✓ No bans

356Tracked matches33%Win rate2020Tracked since
832Hours in CS
CSDB Rating3.3 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 356 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,089 -67 4 Apr – 3 Jul · 28 days played
2,8703,795peak 3,7954 Apr3 Jul
Faceit ELO: 705 +0 30 Aug – 2 Nov · 2 observations
705705peak 70530 Aug2 Nov
3,900Peak Premier in tracked matches
705Highest Faceit ELO seen on CSDB
53Days played since 2026-03-19

Faceit ELO

  • At peak — 705
  • Next: Level 3 at 751 — 46 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGb a k e dPEAK ELO705csdb.gg/stats

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Performance scores

Aim38
Positioning37
Utility47

0–100 skill scores via Leetify.

Recent form

COLD37–57–6Last 10037%Win rateWLLWLLLLLL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −3.3pp headshot accuracy · −66ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 625ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 591ms

Last 20

  • 2–16–2 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 625ms

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 (+1.5 against its own average).

Aim3.8
Utility4.7
Positioning3.7
Opening Duels1.1
Clutch3.2

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 75% 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 40% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms 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

Aim3.8
Positioning3.7
Utility4.7
Mechanics6.3
Opening Duels1.3
Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time651ms−67ms
first ⅓ avg 718ms → last ⅓ avg 651ms
Headshot accuracy10.7%−0.2%
first ⅓ avg 10.9% → last ⅓ avg 10.7%

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

0.12Best match rating · 9–1 · dust2, 8 May →
33%Best headshot accuracy · 9–13 · nuke, 16 Jun →
445msFastest reaction time · 6–13 · inferno, 19 Sept →
13–2Biggest win · nuke, 26 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–12In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 50% over 10infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C2810–1836%-0.04
mirageC249–1538%-0.03
infernoD123–925%-0.06
nukeB105–550%-0.05
cacheC83–538%-0.05
anubisD72–529%-0.04
overpassC52–340%-0.04
ancient—41–325%-0.05
boulder—11–0100%-0.01
train—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,652Lifetime kills
0.77K/D
2,156Matches
37.9%Match win rate
39.0%Headshot %
13.3%Shot accuracy · Top 50% of tracked players
2,692MVPs
832Hours (in match)
1,413Bombs planted
318Bombs defused

Most-used weapons

Lifetime map wins

3,534dust2
1,696inferno
1,023nuke
674train
388vertigo
322cbble
139office
43lake

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

Faceit stats

Combat

36Matches
42%Win rate
0.63Avg K/D
62.4ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
5%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2040%0.6210.1
Dust2757%0.7210.1
Anubis367%0.9814.7
Ancient20%0.213.5
Nuke20%0.285.0
Inferno1100%0.9019.0

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.

10.6%Headshot accuracy
31.5%Accuracy (enemy spotted)
30.6%Spray accuracy
78.5%Counter-strafing
11.3°Preaim
649msReaction time
24.1%T opening success
40.1%CT opening success
0.54Enemies flashed / flash
2.1%Flash assists
6.71HE damage / grenade
14.82Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.571% — below the 15% mark we flag

    Aim Training →
  2. 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 24.0968% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.0417%25 Oct →
cache4–13-0.0111%25 Oct →
anubis11–13-0.075%3 Oct →
anubis13–90.0311%3 Oct →
cache5–13-0.027%19 Sept →
nuke10–13-0.049%19 Sept →
anubis10–13-0.039%19 Sept →
overpass6–13-0.1013%19 Sept →
dust24–13-0.0613%19 Sept →
inferno6–13-0.090%19 Sept →
nuke6–13-0.068%19 Sept →
anubis9–13-0.0716%18 Sept →
dust212–160.038%15 Sept →
mirage14–160.019%13 Sept →
mirage9–13-0.0128%31 Aug →
dust212–12-0.0713%31 Aug →
dust211–13-0.0910%24 Jul →
anubis4–13-0.053%24 Jul →
cache7–13-0.0821%21 Jul →
ancient12–12-0.0611%19 Jul →
dust212–12-0.1112%19 Jul →
inferno10–13-0.035%19 Jul →
mirage16–140.019%17 Jul →
boulder13–10-0.0113%17 Jul →
anubis13–6-0.0116%16 Jul →
dust213–5-0.046%16 Jul →
mirage13–7-0.004%14 Jul →
dust216–130.0016%14 Jul →
dust213–11-0.105%12 Jul →
mirage8–13-0.094%12 Jul →
ancient3–13-0.1514%12 Jul →
dust24–13-0.054%12 Jul →
train13–11-0.0224%12 Jul →
nuke13–11-0.0210%10 Jul →
inferno8–7-0.0121%10 Jul →
cache11–13-0.0714%8 Jul →
mirage13–8-0.0414%3 Jul →
mirage7–13-0.0217%23 Jun →
cache13–11-0.0515%22 Jun →
nuke13–16-0.0910%21 Jun →
inferno8–13-0.1112%21 Jun →
nuke9–13-0.0733%16 Jun →
dust23–13-0.0315%15 Jun →
inferno5–13-0.0727%14 Jun →
dust213–10-0.0411%13 Jun →
dust213–11-0.0614%13 Jun →
nuke13–10-0.069%9 Jun →
nuke4–13-0.1115%4 Jun →
mirage14–16-0.0513%31 May →
ancient11–130.029%30 May →
mirage13–70.0517%29 May →
mirage8–13-0.0514%29 May →
nuke13–20.018%26 May →
mirage6–13-0.0510%23 May →
inferno13–7-0.043%21 May →
inferno7–13-0.0610%20 May →
dust23–13-0.118%18 May →
dust29–13-0.1013%16 May →
dust212–12-0.1212%12 May →
mirage11–13-0.044%11 May →
mirage11–13-0.0513%11 May →
mirage5–13-0.0513%11 May →
dust213–110.0116%11 May →
dust213–8-0.0310%8 May →
dust211–13-0.037%8 May →
mirage13–7-0.026%8 May →
dust29–10.127%8 May →
ancient13–10-0.008%8 May →
dust213–8-0.0614%8 May →
dust210–13-0.0312%8 May →
mirage3–13-0.073%8 May →
dust213–8-0.0010%8 May →
dust28–13-0.086%7 May →
inferno7–13-0.0010%7 May →
dust211–13-0.0913%7 May →
inferno4–13-0.032%6 May →
mirage13–110.047%5 May →
mirage13–100.0315%5 May →
dust27–13-0.0215%5 May →
anubis8–13-0.074%5 May →
mirage15–150.0116%4 May →
cache12–12-0.0417%3 May →
cache13–7-0.108%3 May →
mirage4–13-0.0620%3 May →
inferno16–14-0.069%28 Apr →
dust26–130.039%27 Apr →
overpass9–13-0.063%22 Apr →
inferno7–9-0.1012%22 Apr →
mirage5–13-0.119%16 Apr →
overpass8–13-0.0518%15 Apr →
nuke13–100.022%15 Apr →
inferno13–6-0.0413%6 Apr →
mirage13–11-0.0221%4 Apr →
overpass13–80.0215%4 Apr →
dust25–13-0.017%4 Apr →
overpass13–80.0111%2 Apr →
mirage13–90.0314%30 Mar →
dust29–13-0.119%19 Mar →
mirage9–13-0.137%19 Mar →
nuke13–6-0.0820%19 Mar →

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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