Meatball

Meatball — CS2 Stats

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

1,028Tracked matches38%Win rate2020Tracked since
2,996Hours in CS
CSDB Rating5.7 SolidPositional Player
CSDB Leaderboard#35342 of 259190 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 (35 days ago). Ranks are recorded once per day this page is viewed.

+18Tracked matches · now 1,028
−22.8ppWin rate · 60.7% → 37.9%

Rating over time

Premier CS Rating: 23,711 +4,767 28 Jul – 27 Sept · 21 days played
18,80123,711peak 23,71128 Jul27 Sept
23,711Peak Premier in tracked matches
35Days played since 2026-07-28

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
Matches6027+33
Win rate23%37%−14pp
K/D0.841.06−0.22
Headshot %45%52%−7pp

Measured 27 Sep 2026 → 1 Nov 2026; previous 2 Sep 2026 → 27 Sep 2026.

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=14,595), 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 accuracy14.9%12.7%13.0%above
Kill/death ratio1.051.051.06meets
Match win rate38.4%45.7%46.3%7.9% 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

Aim72
Positioning58
Utility51

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLLWLLLLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −2.5pp headshot accuracy · +6ms reaction

Win rate down 30pp 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 16%
  • Avg reaction 569ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

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 against its own average).

Aim7.2
Utility5.1
Positioning5.8
Opening Duels4.4
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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 563ms 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

Aim7.2
Positioning5.8
Utility5.1
Mechanics6.5
Opening Duels5.0
Win Impact1.0

Composite 5.7/10 (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 time560ms+11ms
first ⅓ avg 549ms → last ⅓ avg 560ms
Headshot accuracy18.8%−3.3%
first ⅓ avg 22.2% → last ⅓ avg 18.8%

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 · 10–4 · vertigo, 29 Jul →
41%Best headshot accuracy · 9–2 · inferno, 29 Aug →
406msFastest reaction time · 3–13 · mirage, 16 Oct →
13–2Biggest win · mirage, 5 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
11–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 71% over 7anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%-0.01
cacheA1911–858%0.01
infernoB168–850%0.02
ancientA149–564%0.01
vertigoS75–271%0.03
anubisC52–340%-0.01
nuke—40–40%-0.02
dust2—44–0100%0.02
overpass—30–30%-0.01
office—32–167%0.04
train—31–233%0.03
debris—11–0100%0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

166,417Lifetime kills
1.05K/D
7,614Matches
38.4%Match win rate
46.4%Headshot % · Top 50% of Level 7 players
14.9%Shot accuracy · Top 50% of Level 7 players
16,994MVPs
2,996Hours (in match)
4,511Bombs planted
1,391Bombs defused

Most-used weapons

AK-4759,307
AWP17,947
SSG 084,459
P2503,506
UMP-452,920

Lifetime map wins

12,209inferno
4,661dust2
2,372nuke
1,255cbble
1,162vertigo
795train
421office
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.

18.3%Headshot accuracy
34.6%Accuracy (enemy spotted)
34.0%Spray accuracy
79.2%Counter-strafing
8.8°Preaim
563msReaction time
50.9%T opening success
48.9%CT opening success
0.59Enemies flashed / flash
5.7%Flash assists
8.42HE damage / grenade
5.30Flashes / match

Recommended for you

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass9–13-0.0220%28 Oct →
office6–13-0.0019%28 Oct →
office13–60.0620%28 Oct →
nuke8–13-0.048%27 Oct →
ancient11–130.0214%27 Oct →
cache9–130.0324%27 Oct →
cache7–130.0218%21 Oct →
cache9–130.0118%21 Oct →
vertigo6–13-0.0220%16 Oct →
nuke2–13-0.019%16 Oct →
mirage3–13-0.0440%16 Oct →
overpass8–13-0.045%14 Oct →
vertigo8–100.0922%10 Oct →
train9–130.0014%9 Oct →
train13–70.0513%9 Oct →
train4–130.0322%8 Oct →
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 →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.