proto (fat belly)

proto (fat belly) — CS2 Stats

76561197999390581[U:1:39124853]Steam profile ↗✓ No bans

2,702Tracked matches59%Win rate2020Tracked since
4,447Hours in CS2Hrs last 2 wks
CSDB Rating6.8 SolidSupport
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 2,702
−3.4ppWin rate · 62.1% → 58.6%

Rating over time

Premier CS Rating: 26,350 +844 27 Jun – 5 Jul · 4 days played
25,50626,350peak 26,35027 Jun5 Jul
26,350Peak Premier in tracked matches
60Days played since 2025-08-06

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches10——
Win rate70%——
K/D1.46——
Headshot %51%——

Measured 12 Sep 2026 → 10 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim84
Positioning58
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY57–38–5Last 10057%Win rateWLLLLWWWWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +0.0pp headshot accuracy · −63ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 492ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 498ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 529ms

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 (+2 against its own average).

Aim8.4
Utility6.1
Positioning5.8
Opening Duels2.5
Clutch2.2

Strong 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.

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 11.7° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 55% on CT to 23% 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

Aim8.4
Positioning5.8
Utility6.1
Mechanics7.2
Opening Duels3.1
Win Impact7.9

Composite 6.8/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time545ms−114ms
first ⅓ avg 660ms → last ⅓ avg 545ms
Headshot accuracy21.3%+0.2%
first ⅓ avg 21.1% → last ⅓ avg 21.3%

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

0.19Best match rating · 13–4 · ancient, 25 Jul →
42%Best headshot accuracy · 6–13 · cache, 25 Jul →
414msFastest reaction time · 8–13 · nuke, 16 Sept →
13–2Biggest win · nuke, 15 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 82% over 17cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
ancientS2015–575%0.01
nukeS1714–382%0.01
dust2B147–750%0.01
anubisD124–833%0.01
cacheD91–811%-0.02
mirageS97–278%0.02
officeD72–529%0.04
train—41–325%0.04
overpass—32–167%0.00
vertigo—21–150%-0.03
warden—22–0100%0.01
alpine—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

135,959Lifetime kills
1.26K/D · Top 25% of tracked players
5,585Matches
50.9%Match win rate · Top 25% of tracked players
49.6%Headshot % · Top 25% of tracked players
15.1%Shot accuracy · Top 50% of tracked players
11,954MVPs
3,260Hours (in match)
4,642Bombs planted
1,988Bombs defused

Most-used weapons

AK-4753,466
AWP10,898
MP92,730
P2502,434
MAC-102,294

Lifetime map wins

13,146nuke
6,050vertigo
6,045inferno
3,154dust2
1,907office
1,371train
342italy
192assault

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

Faceit stats

Combat

1,002Matches
53%Win rate
1.11Avg K/D
71.0ADR
42%Headshot %

Clutches & streaks

31%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis9152%1.1115.0
Nuke7056%1.2217.5
Ancient5756%1.0615.7
Vertigo4959%1.2519.7
Mirage4151%1.1214.8
Dust23944%0.9414.0
Inferno1080%0.9411.9
Overpass933%1.4718.4

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.

21.0%Headshot accuracy
39.9%Accuracy (enemy spotted)
45.0%Spray accuracy
82.2%Counter-strafing
11.7°Preaim
544msReaction time
22.5%T opening success
54.6%CT opening success
0.60Enemies flashed / flash
9.6%Flash assists
7.28HE damage / grenade
11.90Flashes / 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 22.5077% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train13–110.0315%24 Sept →
anubis4–13-0.0313%24 Sept →
nuke8–13-0.0324%16 Sept →
anubis8–130.0214%16 Sept →
train8–130.0034%8 Sept →
nuke13–50.0730%6 Sept →
anubis13–60.0330%6 Sept →
dust219–170.0312%2 Sept →
nuke13–9-0.0216%1 Sept →
cache4–13-0.0831%1 Sept →
vertigo12–12-0.0129%1 Sept →
nuke13–110.0124%27 Aug →
ancient16–130.0121%26 Aug →
ancient13–7-0.0420%20 Aug →
mirage8–13-0.0611%20 Aug →
nuke19–15-0.0025%13 Aug →
anubis13–7-0.0129%11 Aug →
ancient13–10-0.0217%6 Aug →
mirage13–30.0831%29 Jul →
anubis9–130.0714%29 Jul →
mirage13–90.0115%28 Jul →
nuke5–5-0.0525%26 Jul →
ancient8–13-0.0215%26 Jul →
cache6–13-0.0642%25 Jul →
ancient13–40.1918%25 Jul →
ancient13–80.0120%24 Jul →
cache5–13-0.0412%24 Jul →
ancient13–9-0.0015%21 Jul →
dust25–13-0.0826%17 Jul →
ancient13–8-0.0316%16 Jul →
nuke13–20.0331%15 Jul →
anubis13–60.0718%15 Jul →
anubis5–13-0.0713%15 Jul →
ancient13–60.0226%12 Jul →
dust29–13-0.0125%12 Jul →
ancient13–2-0.0620%11 Jul →
mirage13–80.0924%11 Jul →
cache13–80.0421%10 Jul →
train6–130.1114%10 Jul →
dust213–11-0.0120%5 Jul →
nuke6–13-0.0132%4 Jul →
anubis11–130.0925%4 Jul →
overpass0–3-0.030%2 Jul →
ancient13–80.1121%2 Jul →
ancient13–8-0.0433%1 Jul →
dust26–13-0.0113%1 Jul →
nuke13–7-0.0617%27 Jun →
mirage13–100.1113%25 Jun →
anubis4–130.0421%25 Jun →
dust213–90.0224%18 Jun →
ancient13–40.0226%14 Jun →
dust29–13-0.0422%14 Jun →
dust213–70.0732%13 Jun →
nuke13–60.0223%12 Jun →
warden13–20.0024%12 Jun →
mirage13–10-0.0333%29 May →
nuke16–120.0316%12 May →
cache6–13-0.0417%12 May →
cache12–12-0.0213%11 May →
nuke13–110.0325%11 May →
cache8–130.0422%11 May →
cache17–19-0.0022%10 May →
mirage13–80.0318%9 May →
nuke16–120.0218%8 May →
mirage13–50.0129%7 May →
ancient10–13-0.0122%11 Apr →
mirage8–13-0.0225%11 Apr →
dust211–130.0532%11 Apr →
warden13–30.0130%4 Apr →
office4–130.0224%4 Apr →
dust213–80.0822%30 Mar →
dust213–60.0633%30 Mar →
dust212–16-0.0224%29 Mar →
ancient12–120.0720%29 Mar →
ancient8–130.0010%2 Mar →
office12–12-0.0112%21 Feb →
dust210–13-0.0636%11 Feb →
anubis2–13-0.0425%11 Feb →
overpass13–5-0.0013%10 Feb →
anubis2–13-0.0815%10 Feb →
ancient13–100.0010%10 Feb →
dust213–90.0012%10 Feb →
alpine13–20.0229%10 Feb →
office13–90.0721%9 Feb →
office11–130.0014%5 Feb →
office6–130.0922%5 Feb →
ancient13–5-0.0117%4 Feb →
nuke13–80.006%4 Feb →
nuke13–5-0.0016%29 Jan →
anubis9–70.0415%29 Jan →
vertigo13–11-0.0424%29 Jan →
office5–130.0217%24 Jan →
ancient9–130.0217%24 Jan →
train15–150.0335%17 Jan →
office13–40.0527%15 Jan →
nuke13–80.0217%26 Dec →
cache10–13-0.0139%26 Dec →
nuke13–80.0625%22 Nov →
overpass13–60.0421%11 Nov →
ancient13–10-0.0414%6 Aug →

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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