Meatball

Meatball — CS2 Stats

DE76561198062327137[U:1:102061409]Steam profile ↗✓ No bans

1,012Tracked matches54%Win rate2020Tracked since
2,986Hours in CS
CSDB Rating6.0 SolidSupport
CSDB Leaderboard#33536 of 247904 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,012
−7.1ppWin rate · 60.7% → 53.6%

Rating over time

Premier CS Rating: 23,711 +5,753 27 Jul – 27 Sept · 22 days played
17,95823,711peak 23,71127 Jul27 Sept
23,711Peak Premier in tracked matches
32Days played since 2026-07-20

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
Matches40——
Win rate40%——
K/D1.02——
Headshot %54%——

Measured 2 Sep 2026 → 1 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 7 among CSDB-tracked players (n=13,870), 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 7 medianLevel 8 medianvs Level 8
Headshot rate46.4%45.7%46.8%meets
Shot accuracy15.0%12.7%13.0%above
Kill/death ratio1.051.051.06meets
Match win rate38.6%45.7%46.3%7.7% short

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMeatballFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76
Positioning52
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateLLWWLWLLTW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −1.2pp headshot accuracy · −15ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 538ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 532ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 540ms

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 (+1.6 against its own average).

Aim7.6
Utility6.0
Positioning5.2
Opening Duels2.6
Clutch3.8

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6
Positioning5.2
Utility6.0
Mechanics6.0
Opening Duels2.6
Win Impact6.2

Composite 6.0/10 (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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time533ms−38ms
first ⅓ avg 571ms → last ⅓ avg 533ms
Headshot accuracy21.2%−0.2%
first ⅓ avg 21.4% → last ⅓ avg 21.2%

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

0.13Best match rating · 13–5 · inferno, 24 Jul →
41%Best headshot accuracy · 9–2 · inferno, 29 Aug →
422msFastest reaction time · 6–13 · mirage, 19 Sept →
13–1Biggest win · mirage, 28 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
11–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

vertigoBest map · 80% over 5anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2310–1343%-0.00
infernoB2110–1148%0.03
cacheS1813–572%0.02
ancientS1511–473%0.00
anubisD72–529%-0.01
vertigoS54–180%0.03
nuke—41–325%0.02
dust2—44–0100%0.02
overpass—10–10%0.02
office—11–0100%0.07
debris—11–0100%0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

165,625Lifetime kills
1.05K/D
7,567Matches
38.6%Match win rate
46.4%Headshot % · Top 50% of Level 7 players
15.0%Shot accuracy · Top 50% of Level 7 players
16,945MVPs
2,986Hours (in match)
4,499Bombs planted
1,386Bombs defused

Most-used weapons

AK-4759,136
AWP17,897
SSG 084,438
P2503,489
UMP-452,912

Lifetime map wins

12,208inferno
4,660dust2
2,362nuke
1,255cbble
1,148vertigo
768train
402office
177italy

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

Faceit stats

Combat

394Matches
55%Win rate
1.28Avg K/D
88.3ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4747%1.0316.6
Inferno3355%1.1917.0
Ancient2650%1.2317.9
Anubis1471%1.0317.0
Overpass1354%1.0918.1
Vertigo1164%1.0916.7
Nuke367%1.5317.3
Dust22100%0.9421.0

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.

20.4%Headshot accuracy
33.0%Accuracy (enemy spotted)
33.3%Spray accuracy
77.1%Counter-strafing
7.7°Preaim
536msReaction time
41.0%T opening success
39.8%CT opening success
0.61Enemies flashed / flash
6.6%Flash assists
10.09HE damage / grenade
5.82Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.7512% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0510%28 Sept →
cache7–130.0017%28 Sept →
vertigo13–100.0819%24 Sept →
vertigo13–110.0233%24 Sept →
vertigo1–13-0.0521%19 Sept →
cache7–4-0.0419%19 Sept →
mirage6–13-0.0523%19 Sept →
nuke7–130.0218%19 Sept →
overpass12–120.0220%19 Sept →
inferno13–80.0520%18 Sept →
mirage13–40.0123%18 Sept →
ancient16–14-0.0220%5 Sept →
mirage13–20.0719%5 Sept →
cache13–5-0.010%5 Sept →
inferno6–9-0.0314%5 Sept →
inferno5–130.0229%3 Sept →
ancient5–13-0.0728%3 Sept →
office13–80.0722%2 Sept →
cache12–12-0.0218%31 Aug →
inferno9–20.1041%29 Aug →
cache13–11-0.0122%22 Aug →
mirage10–3-0.0613%22 Aug →
ancient13–11-0.0310%22 Aug →
mirage11–13-0.0419%22 Aug →
nuke3–13-0.0328%22 Aug →
ancient9–130.0414%19 Aug →
ancient3–130.0121%19 Aug →
inferno3–1-0.0220%19 Aug →
inferno6–13-0.0428%18 Aug →
mirage16–14-0.0124%18 Aug →
cache13–40.0433%18 Aug →
mirage9–13-0.0420%17 Aug →
mirage13–90.0131%17 Aug →
ancient13–100.0116%17 Aug →
mirage8–130.0719%17 Aug →
inferno6–130.0123%16 Aug →
ancient13–50.0013%16 Aug →
dust213–110.0533%16 Aug →
ancient13–50.0615%16 Aug →
inferno13–90.0920%16 Aug →
mirage13–5-0.0126%14 Aug →
cache6–13-0.0321%14 Aug →
ancient13–50.0324%14 Aug →
inferno13–110.0231%13 Aug →
inferno13–80.0617%13 Aug →
mirage10–13-0.0427%12 Aug →
mirage7–13-0.0715%12 Aug →
cache13–70.0215%12 Aug →
mirage10–13-0.0420%10 Aug →
cache15–150.0219%10 Aug →
cache13–40.0625%9 Aug →
inferno15–150.0717%9 Aug →
dust213–100.0230%9 Aug →
mirage8–130.0220%9 Aug →
dust213–10-0.0113%8 Aug →
ancient13–50.0313%8 Aug →
dust213–110.0323%8 Aug →
anubis14–16-0.0117%8 Aug →
mirage13–160.0125%8 Aug →
cache13–30.0127%7 Aug →
inferno13–80.1039%7 Aug →
mirage7–13-0.0312%7 Aug →
anubis13–60.0221%7 Aug →
inferno6–13-0.0333%7 Aug →
cache13–40.0220%6 Aug →
anubis9–13-0.0027%6 Aug →
ancient13–3-0.0331%6 Aug →
mirage13–6-0.0017%6 Aug →
anubis13–7-0.0612%5 Aug →
inferno7–13-0.0219%5 Aug →
cache13–40.0124%3 Aug →
mirage13–8-0.0536%3 Aug →
debris9–40.1034%3 Aug →
inferno11–13-0.0624%30 Jul →
ancient13–50.0015%30 Jul →
cache13–50.0321%30 Jul →
cache2–130.0227%30 Jul →
anubis4–13-0.0214%30 Jul →
vertigo13–11-0.0115%30 Jul →
ancient6–130.0223%29 Jul →
cache13–60.0511%29 Jul →
vertigo10–40.1233%29 Jul →
inferno13–80.0218%28 Jul →
mirage13–100.0417%28 Jul →
mirage13–10.1028%28 Jul →
nuke5–130.0319%28 Jul →
ancient13–70.0525%27 Jul →
inferno13–50.0825%27 Jul →
cache13–50.0523%27 Jul →
mirage8–130.0410%27 Jul →
inferno13–50.1328%24 Jul →
mirage6–130.0130%24 Jul →
anubis11–13-0.0011%22 Jul →
nuke13–80.0421%22 Jul →
inferno9–13-0.0015%22 Jul →
anubis5–130.0116%21 Jul →
inferno5–13-0.0429%21 Jul →
inferno14–160.0723%21 Jul →
ancient13–11-0.0714%20 Jul →
cache13–90.0627%20 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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