cummies

cummies — CS2 Stats

AU76561198262086460[U:1:301820732]Steam profile ↗✓ No bans

2,758Tracked matches57%Win rate2020Tracked since
4,981Hours in CS36Hrs last 2 wks
CSDB Rating7.9 StrongPositional Player
Premier CS Rating22,136Top 50% of 204,150 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#52416 of 251229 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,136 +3,815 28 Aug – 8 Oct · 17 days played
17,49023,221peak 23,22128 Aug8 Oct
23,508Peak Premier in tracked matches
14Days played since 2026-08-28

Premier CS Rating

  • 1,085 below peak (23,221)
  • +4,284 over 30 days · improving
  • Next: Red band at 25,000 — 2,864 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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
Matches47——
Win rate57%——
K/D1.24——
Headshot %48%——

Measured 11 Sep 2026 → 11 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.4%46.9%49.2%4.9% short
Shot accuracy12.3%13.0%13.4%1.0% short
Kill/death ratio1.191.081.12above
Match win rate46.6%46.7%48.5%1.9% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGcummiesPREMIER22,136 · Pink bandcsdb.gg/stats

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Performance scores

Aim91
Positioning73
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWWWWLLWLT

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +5.5pp headshot accuracy · +32ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 25%
  • Avg reaction 464ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 497ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 481ms

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 (+1.6 against its own average).

Aim9.1
Utility6.4
Positioning7.3
Opening Duels6.6
Clutch2.4

Sharp aimer

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

jL

Plays most like jL 95% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim9.1
Positioning7.3
Utility6.4
Mechanics7.5
Opening Duels7.1
Win Impact7.4

Composite 7.9/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time513ms+14ms
first ⅓ avg 499ms → last ⅓ avg 513ms
Headshot accuracy21.8%−4.6%
first ⅓ avg 26.3% → last ⅓ avg 21.8%

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

0.23Best match rating · 13–9 · ancient, 8 Oct →
47%Best headshot accuracy · 13–3 · mirage, 8 Sept →
344msFastest reaction time · 13–5 · inferno, 14 Sept →
13–1Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageS2617–965%0.04
dust2S2013–765%0.02
infernoC145–936%0.01
ancientD134–931%0.06
nukeB137–654%0.06
anubisS54–180%0.02
cache—42–250%0.01
train—32–167%0.08
vertigo—20–20%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,119Lifetime kills
1.19K/D · Top 50% of Pink band
7,285Matches
46.6%Match win rate
44.4%Headshot %
12.3%Shot accuracy
19,249MVPs
2,784Hours (in match)
5,019Bombs planted
3,218Bombs defused

Most-used weapons

AK-4741,552
AWP32,365
SSG 084,109
P2502,913
Tec-92,370
Knife1,508

Lifetime map wins

10,677inferno
9,541dust2
3,944nuke
3,900train
1,874cbble
1,353vertigo
115office
48lake

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

Faceit stats

Combat

54Matches
65%Win rate
1.48Avg K/D
88.2ADR
41%Headshot %

Clutches & streaks

32%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage771%1.2715.3
Dust2667%1.7017.8
Ancient367%0.9012.7
Cache333%1.7218.7
Inferno1100%2.1824.0
Nuke1100%4.2517.0
Anubis1100%3.2032.0

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.

21.9%Headshot accuracy
38.1%Accuracy (enemy spotted)
40.9%Spray accuracy
83.6%Counter-strafing
7.3°Preaim
510msReaction time
56.4%T opening success
60.3%CT opening success
0.62Enemies flashed / flash
5.1%Flash assists
7.63HE damage / grenade
19.09Flashes / match

Recommended for you

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0140%8 Oct →
inferno13–90.1422%8 Oct →
ancient13–90.2318%8 Oct →
mirage13–30.0025%8 Oct →
mirage13–60.1122%8 Oct →
anubis11–130.0017%8 Oct →
mirage10–130.0233%7 Oct →
dust213–60.0727%7 Oct →
cache8–13-0.038%7 Oct →
mirage12–120.0424%7 Oct →
train13–110.0735%7 Oct →
nuke14–160.0213%7 Oct →
inferno0–13-0.1010%7 Oct →
ancient11–130.2017%6 Oct →
ancient6–130.059%6 Oct →
inferno4–13-0.0218%6 Oct →
inferno4–130.0112%6 Oct →
ancient15–15-0.0118%6 Oct →
nuke9–13-0.0324%6 Oct →
dust213–5-0.0426%6 Oct →
inferno13–70.0530%6 Oct →
nuke8–13-0.0316%5 Oct →
cache13–60.0824%5 Oct →
dust213–100.1135%5 Oct →
anubis13–40.0422%5 Oct →
dust213–8-0.0031%4 Oct →
dust213–50.0015%3 Oct →
mirage13–90.0523%3 Oct →
mirage13–30.0022%3 Oct →
anubis13–10.0118%3 Oct →
inferno1–40.0133%3 Oct →
ancient11–130.0216%3 Oct →
mirage13–70.0416%3 Oct →
mirage13–20.0416%3 Oct →
dust212–120.0828%3 Oct →
dust213–6-0.0119%14 Sept →
vertigo0–5-0.120%14 Sept →
nuke11–130.0722%14 Sept →
ancient9–130.0021%14 Sept →
nuke13–60.1525%14 Sept →
mirage9–13-0.0026%14 Sept →
inferno13–50.0313%14 Sept →
ancient13–80.0522%13 Sept →
ancient16–140.0622%13 Sept →
mirage11–6-0.0323%13 Sept →
inferno13–40.0335%13 Sept →
inferno1–13-0.0314%13 Sept →
mirage7–130.0324%13 Sept →
dust213–30.0222%13 Sept →
ancient10–13-0.0116%13 Sept →
dust213–110.1222%10 Sept →
dust25–13-0.0427%10 Sept →
mirage13–90.0524%10 Sept →
mirage13–70.1117%10 Sept →
anubis13–90.0425%10 Sept →
vertigo4–40.0125%10 Sept →
train4–130.0831%10 Sept →
ancient13–10.1523%10 Sept →
dust213–70.0630%10 Sept →
nuke13–10.2238%10 Sept →
nuke13–90.1733%9 Sept →
cache1–8-0.0425%9 Sept →
ancient7–130.1323%9 Sept →
dust216–130.0115%9 Sept →
inferno11–13-0.0416%9 Sept →
dust26–13-0.0125%9 Sept →
nuke10–130.0832%9 Sept →
mirage1–90.0622%9 Sept →
mirage13–60.0823%9 Sept →
inferno9–130.0123%9 Sept →
nuke13–80.0425%9 Sept →
anubis13–60.0218%8 Sept →
mirage11–13-0.0515%8 Sept →
mirage13–30.0447%8 Sept →
dust213–11-0.0121%8 Sept →
inferno12–120.0227%8 Sept →
dust20–13-0.0733%8 Sept →
nuke13–9-0.0421%8 Sept →
inferno1–13-0.0821%8 Sept →
mirage13–40.1724%8 Sept →
nuke13–70.0123%7 Sept →
cache13–100.0441%7 Sept →
mirage7–13-0.0628%7 Sept →
mirage13–110.1329%7 Sept →
nuke8–130.0331%7 Sept →
nuke13–50.0638%7 Sept →
mirage13–110.0314%7 Sept →
mirage11–13-0.0019%7 Sept →
ancient3–13-0.0320%7 Sept →
mirage6–130.0232%6 Sept →
dust213–8-0.0336%6 Sept →
dust213–30.0733%6 Sept →
inferno13–70.0627%6 Sept →
dust28–13-0.0226%5 Sept →
mirage13–8-0.0320%5 Sept →
train13–50.0824%5 Sept →
mirage13–40.1941%5 Sept →
dust212–120.0322%5 Sept →
mirage13–50.0525%5 Sept →
ancient5–13-0.0120%5 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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