bellyfan1234

bellyfan1234 — CS2 Stats

AU76561199057649731[U:1:1097384003]Steam profile ↗✓ No bans

4,090Tracked matches50%Win rate2020Tracked since
7,509Hours in CS
CSDB Rating6.4 SolidPositional Player
FaceitLevel 10 · 2,833 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,833 → 2,833
+10Tracked matches · now 4,090
0.0ppWin rate · 50.0% → 50.0%

Rating over time

2,833Highest Faceit ELO seen on CSDB
71Days played since 2025-06-28

Faceit ELO

  • At peak — 2,833
  • Next: 3,000 ELO at 3,000 — 167 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-03
  • Level 10 first seen 2026-09-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches11——
Win rate55%——
K/D0.66——
Headshot %52%——

Measured 11 Sep 2026 → 8 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate54.8%50.9%
Shot accuracy12.4%13.7%
Kill/death ratio0.921.09
Match win rate49.9%48.4%

Share this profile

CSDB.GGbellyfan1234FACEITLevel 10 · 2,833 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,833csdb.gg/stats

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Performance scores

Aim83
Positioning63
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWWWWLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −64ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 506ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 513ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 545ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim8.3
Utility4.2
Positioning6.3
Opening Duels4.2
Clutch3.4

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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim8.3
Positioning6.3
Utility4.2
Mechanics7.2
Opening Duels3.6
Win Impact5.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time554ms−22ms
first ⅓ avg 576ms → last ⅓ avg 554ms
Headshot accuracy26.5%−2.4%
first ⅓ avg 28.9% → last ⅓ avg 26.5%

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

0.25Best match rating · 9–0 · inferno, 19 Oct →
71%Best headshot accuracy · 13–9 · train, 31 Oct →
367msFastest reaction time · 7–13 · anubis, 22 Aug →
13–2Biggest win · ancient, 18 Dec →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W4Current streak
12–10In matches decided by ≤2 rounds
19Overtime games

Map breakdown

dust2Best map · 67% over 6trainWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%0.01
nukeA169–756%0.00
ancientA148–657%0.02
trainC135–838%0.03
infernoB105–550%0.05
overpassB105–550%0.01
dust2S64–267%-0.01
anubisC52–340%0.04
vertigo—11–0100%0.12

Across the last 100 tracked matches.

Lifetime stats

129,667Lifetime kills
0.92K/D
4,061Matches
49.9%Match win rate · Top 50% of Level 10 players
54.8%Headshot % · Top 50% of Level 10 players
12.4%Shot accuracy
14,362MVPs
7,509Hours (in match)
2,977Bombs planted
1,843Bombs defused

Most-used weapons

AK-4756,114
AWP21,096
Knife2,619
P2501,083
SSG 081,058

Lifetime map wins

8,288inferno
4,822dust2
4,045nuke
2,858vertigo
1,847train
30office
9cbble
6sugarcane

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

Faceit stats

Combat

3,141Matches
52%Win rate
1.16Avg K/D
83.7ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient48256%1.2318.1
Mirage44250%1.1117.2
Anubis40255%1.2218.1
Dust223350%1.1618.0
Nuke21252%1.1817.2
Inferno15348%1.1617.8
Train12059%1.2819.5
Vertigo11159%1.2619.0

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.

26.4%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.1%Spray accuracy
82.3%Counter-strafing
8.6°Preaim
555msReaction time
32.7%T opening success
56.3%CT opening success
0.61Enemies flashed / flash
5.5%Flash assists
5.22HE damage / grenade
10.04Flashes / 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 32.7298% — below the 40% mark we flag

Spend your practice time on Train

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–5-0.0418%31 Aug →
nuke13–8-0.0034%31 Aug →
mirage19–16-0.0036%30 Aug →
inferno16–12-0.0117%25 Aug →
mirage9–13-0.0721%22 Aug →
anubis7–130.0842%22 Aug →
nuke13–60.0119%12 Aug →
anubis10–13-0.0525%10 Aug →
dust27–13-0.0332%4 Aug →
mirage9–13-0.0328%4 Aug →
mirage13–16-0.0139%30 Jul →
dust216–120.0631%27 Jul →
mirage13–8-0.0130%22 Jul →
mirage13–8-0.0219%10 Jun →
nuke7–13-0.0635%10 Jun →
ancient8–13-0.0433%10 Apr →
overpass19–17-0.0218%28 Feb →
overpass14–16-0.0526%13 Jan →
train19–170.0523%4 Jan →
ancient13–90.0835%1 Jan →
nuke10–13-0.0014%29 Dec →
inferno10–13-0.0126%29 Dec →
train13–80.0722%27 Dec →
ancient13–50.0022%22 Dec →
ancient4–130.0218%22 Dec →
train13–8-0.0033%18 Dec →
ancient13–20.0627%18 Dec →
mirage10–13-0.0224%17 Dec →
inferno12–16-0.0224%15 Dec →
inferno12–16-0.0221%14 Dec →
nuke19–15-0.0048%13 Dec →
overpass8–13-0.0122%6 Dec →
nuke13–10-0.0213%5 Dec →
overpass13–11-0.0320%26 Nov →
mirage13–20.1138%26 Nov →
mirage16–14-0.0414%21 Nov →
mirage13–70.0330%21 Nov →
nuke13–100.0317%20 Nov →
inferno13–110.0717%19 Nov →
ancient13–50.0427%19 Nov →
nuke11–130.0348%11 Nov →
train13–90.0471%31 Oct →
inferno13–60.0222%31 Oct →
mirage7–130.0143%27 Oct →
dust213–11-0.0231%26 Oct →
inferno9–30.1757%19 Oct →
inferno9–00.2550%19 Oct →
vertigo9–30.1262%18 Oct →
train9–130.0623%9 Oct →
inferno10–130.0438%21 Sept →
mirage11–130.0226%12 Sept →
ancient16–140.0215%9 Sept →
nuke5–13-0.0026%9 Sept →
mirage11–13-0.0422%6 Sept →
ancient5–130.0032%6 Sept →
mirage9–13-0.0221%5 Sept →
overpass11–130.0728%5 Sept →
ancient16–190.0330%4 Sept →
ancient13–10-0.0115%4 Sept →
nuke9–13-0.0042%3 Sept →
mirage13–50.0532%2 Sept →
ancient13–90.0411%1 Sept →
nuke10–13-0.0322%1 Sept →
mirage13–110.0225%1 Sept →
overpass13–70.0625%31 Aug →
mirage13–10-0.0521%30 Aug →
mirage11–13-0.0222%14 Aug →
train14–16-0.0426%11 Aug →
ancient13–160.0138%31 Jul →
train11–13-0.0135%29 Jul →
train4–13-0.0426%28 Jul →
dust27–13-0.0619%25 Jul →
nuke16–140.1138%25 Jul →
train9–13-0.0034%24 Jul →
overpass7–13-0.0224%23 Jul →
mirage13–100.0217%23 Jul →
inferno10–130.0225%23 Jul →
overpass16–140.0229%21 Jul →
ancient8–13-0.0126%20 Jul →
mirage13–60.0624%18 Jul →
overpass16–140.0519%18 Jul →
nuke13–50.0433%18 Jul →
train10–130.0829%18 Jul →
mirage7–130.0326%17 Jul →
overpass8–130.0231%16 Jul →
mirage13–40.0442%15 Jul →
mirage11–130.0123%15 Jul →
ancient13–70.0745%14 Jul →
train5–13-0.0514%12 Jul →
dust213–110.0127%12 Jul →
mirage13–100.0328%11 Jul →
anubis13–100.0635%9 Jul →
train3–40.1338%9 Jul →
mirage16–120.1138%6 Jul →
nuke13–50.0333%6 Jul →
nuke4–13-0.0432%5 Jul →
anubis9–130.0120%4 Jul →
train13–80.0428%1 Jul →
anubis13–60.0824%28 Jun →
nuke13–5-0.0428%28 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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