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Baked Protatoe

Baked Protatoe — CS2 Stats

76561198825006069[U:1:864740341]Steam profile ↗✓ No bans

3,833Tracked matches57%Win rate2022Tracked since
CSDB Rating4.5 Developing
Premier CS Rating9,896Light Blue band · top ~55.4% of ranked players (population est.)
CSDB Leaderboard#39605 of 54895 tracked
FaceitLevel 2 · 765 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBaked ProtatoeFACEITLevel 2 · 765 ELOSTANDINGTop 97.9% of rankedPREMIER9,896 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning48
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLLWLTWWLTW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.3
Aggression5.3
Utility5.8
Positioning4.8
Opening Duels0.9
Clutch3.0

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 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 43% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim4.3
Positioning4.8
Utility5.8
Mechanics6.7
Opening Duels1.6
Win Impact7.4

Composite 4.5/10 (Developing), 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-0.04+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time606ms−23ms
first ⅓ avg 628ms → last ⅓ avg 606ms
Headshot accuracy14.1%+1.0%
first ⅓ avg 13.1% → last ⅓ avg 14.1%

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.

Highlights

0.07Best rating — ancient 13–11
13–1Biggest win — nuke
4Longest win streak
L2Current streak
12–2In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 60% over 30ancientWeakest map · 43% over 23
MapGradePlayedRecordWin rateAvg rating
nukeA3018–1260%-0.03
ancientC2310–1343%-0.04
infernoB157–847%-0.04
cacheB136–746%-0.02
dust2B84–450%-0.06
anubisA74–357%-0.01
mirage—31–233%-0.08
vertigo—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

623Matches
49%Win rate
0.82Avg K/D
72.0ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient16349%0.8013.4
Nuke15367%0.9513.9
Anubis11238%0.7512.5
Inferno6149%0.8113.1
Overpass5246%0.8413.6
Mirage3330%0.6611.4
Dust22726%0.7611.8
Train1844%0.7311.4

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.

14.5%Headshot accuracy
29.0%Accuracy (enemy spotted)
29.2%Spray accuracy
79.9%Counter-strafing
11.5°Preaim
609msReaction time
24.6%T opening success
42.8%CT opening success
0.51Enemies flashed / flash
4.4%Flash assists
11.10HE damage / grenade
8.51Flashes / 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 14.5253% — 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 24.6415% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0019%28 Aug →
cache10–13-0.068%28 Aug →
nuke13–3-0.0216%28 Aug →
nuke8–13-0.0612%27 Aug →
nuke15–15-0.0715%27 Aug →
nuke13–11-0.0813%27 Aug →
ancient13–5-0.0122%27 Aug →
anubis5–13-0.0817%25 Aug →
inferno15–15-0.0714%25 Aug →
nuke13–40.0420%25 Aug →
nuke13–6-0.0016%25 Aug →
dust26–13-0.0923%24 Aug →
nuke4–13-0.0517%24 Aug →
nuke4–13-0.124%24 Aug →
inferno7–13-0.0420%23 Aug →
cache13–110.0012%23 Aug →
nuke10–13-0.0613%23 Aug →
nuke13–70.0116%23 Aug →
ancient13–6-0.0218%23 Aug →
mirage5–13-0.144%21 Aug →
dust213–9-0.0223%21 Aug →
anubis13–100.0310%21 Aug →
mirage4–13-0.069%21 Aug →
cache13–8-0.0216%20 Aug →
nuke13–80.0215%20 Aug →
inferno13–7-0.0515%16 Aug →
inferno8–13-0.0116%16 Aug →
nuke13–11-0.0116%16 Aug →
inferno16–14-0.0210%15 Aug →
nuke13–11-0.0415%15 Aug →
cache13–110.049%15 Aug →
cache5–13-0.058%14 Aug →
nuke13–10-0.029%14 Aug →
ancient9–13-0.0611%14 Aug →
nuke11–130.0121%14 Aug →
dust29–13-0.0624%14 Aug →
cache10–13-0.0714%14 Aug →
cache6–130.059%13 Aug →
ancient13–9-0.054%13 Aug →
nuke13–1-0.0019%13 Aug →
ancient6–13-0.0416%13 Aug →
inferno13–11-0.0015%13 Aug →
nuke7–13-0.0318%12 Aug →
ancient7–13-0.0610%12 Aug →
dust26–13-0.0914%12 Aug →
anubis13–10-0.0415%12 Aug →
nuke13–10-0.0127%12 Aug →
ancient6–13-0.099%11 Aug →
ancient8–13-0.0012%9 Aug →
nuke13–9-0.0010%9 Aug →
inferno13–40.0323%9 Aug →
anubis6–130.0219%8 Aug →
cache9–130.0418%8 Aug →
inferno9–13-0.0412%8 Aug →
vertigo6–13-0.0714%8 Aug →
nuke4–13-0.074%8 Aug →
nuke13–8-0.0020%8 Aug →
anubis13–4-0.038%8 Aug →
anubis13–110.0214%8 Aug →
ancient13–7-0.0513%7 Aug →
nuke9–13-0.0711%7 Aug →
ancient13–3-0.0518%7 Aug →
nuke3–13-0.058%7 Aug →
nuke13–50.0214%7 Aug →
dust213–7-0.0635%7 Aug →
ancient13–5-0.0513%7 Aug →
cache1–13-0.0711%6 Aug →
inferno13–7-0.0016%6 Aug →
inferno9–13-0.0723%6 Aug →
ancient13–7-0.038%6 Aug →
nuke13–6-0.035%6 Aug →
ancient7–13-0.0613%6 Aug →
anubis4–130.0116%6 Aug →
cache8–13-0.0511%2 Aug →
dust213–11-0.105%2 Aug →
inferno13–11-0.0917%2 Aug →
ancient7–13-0.0819%2 Aug →
ancient4–13-0.1012%2 Aug →
cache13–8-0.0411%1 Aug →
ancient13–110.077%1 Aug →
nuke13–9-0.033%1 Aug →
nuke5–130.0110%1 Aug →
cache13–8-0.0213%1 Aug →
inferno13–7-0.0322%1 Aug →
ancient4–13-0.0610%1 Aug →
inferno13–16-0.0413%30 Jul →
nuke13–5-0.0611%30 Jul →
inferno3–13-0.1328%30 Jul →
nuke11–13-0.0111%30 Jul →
dust213–7-0.0126%29 Jul →
ancient13–10-0.0520%29 Jul →
ancient13–11-0.058%29 Jul →
mirage13–10-0.0512%29 Jul →
ancient7–13-0.0615%28 Jul →
cache13–6-0.026%28 Jul →
ancient7–13-0.076%28 Jul →
inferno3–13-0.0324%27 Jul →
dust29–13-0.027%27 Jul →
nuke13–3-0.0313%27 Jul →
ancient10–13-0.0111%27 Jul →

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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