yum

yum — CS2 Stats

TN76561197993545642[U:1:33279914]Steam profile ↗✓ No bans

895Tracked matches47%Win rate2020Tracked since
4,574Hours in CS
CSDB Rating6.0 SolidSupport
Premier CS Rating18,515Purple band · top ~14.4% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 895 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,515 -2,973 4 Oct – 2 Nov · 30 days played
18,51522,719peak 22,7194 Oct2 Nov
22,719Peak Premier in tracked matches
38Days played since 2025-10-04

Premier CS Rating

  • 4,204 below peak (22,719)
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 1,485 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-21
  • Blue band first seen 2026-09-21

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate57.0%46.8%48.2%above
Shot accuracy19.4%13.0%13.2%above
Kill/death ratio1.381.061.07above
Match win rate33.9%46.3%46.9%13.0% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGyumFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,515 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning54
Utility58

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateWLLWLLLLLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +8.5pp headshot accuracy · +27ms reaction

Win rate down 50pp 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 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 478ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 527ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 513ms

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 (+2.5 against its own average).

Aim7.5
Utility5.8
Positioning5.4
Opening Duels2.2
Clutch0.0

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

b1t

Plays most like b1t 91% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 53% on CT to 24% 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

Aim7.5
Positioning5.4
Utility5.8
Mechanics7.2
Opening Duels2.8
Win Impact3.9

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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time535ms−63ms
first ⅓ avg 599ms → last ⅓ avg 535ms
Headshot accuracy23.5%+1.5%
first ⅓ avg 21.9% → last ⅓ avg 23.5%

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

0.18Best match rating · 16–12 · dust2, 18 Oct →
59%Best headshot accuracy · 13–1 · ancient, 31 Jan →
391msFastest reaction time · 13–2 · dust2, 28 Aug →
13–1Biggest win · ancient, 31 Jan →

Across the last 100 tracked matches.

Highlights

10Longest win streak
7–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 60% over 5mirageWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%0.01
ancientB179–853%0.01
infernoB147–750%-0.01
mirageD143–1121%0.00
nukeC135–838%-0.01
overpassB105–550%0.04
cacheA53–260%-0.03
anubis—32–167%0.02
train—32–167%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

337,902Lifetime kills
1.38K/D · Top 10% of Level 8 players
9,088Matches
33.9%Match win rate
57.0%Headshot % · Top 25% of Level 8 players
19.4%Shot accuracy · Top 5% of Level 8 players
18,928MVPs
4,574Hours (in match)
7,776Bombs planted
2,737Bombs defused

Most-used weapons

AK-47177,902
AWP16,368
P2509,601
SSG 085,256
Knife3,498
FAMAS3,117

Lifetime map wins

16,633dust2
15,252inferno
6,139train
5,540nuke
4,231cbble
923vertigo
684office
126dust

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

Faceit stats

Combat

369Matches
52%Win rate
1.19Avg K/D
57.7ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage30%0.5910.0
Inferno250%0.8417.5
Nuke1100%0.6111.0
Anubis10%0.9415.0
Vertigo1100%1.5021.0

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.

23.8%Headshot accuracy
32.0%Accuracy (enemy spotted)
35.2%Spray accuracy
82.2%Counter-strafing
10.7°Preaim
533msReaction time
23.5%T opening success
52.7%CT opening success
0.64Enemies flashed / flash
11.5%Flash assists
7.13HE damage / grenade
10.39Flashes / 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 23.5251% — below the 40% mark we flag

Spend your practice time on Mirage

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0611%30 Sept →
mirage11–13-0.0122%6 Sept →
nuke13–160.0720%6 Sept →
cache13–70.0523%6 Sept →
nuke9–13-0.0424%5 Sept →
cache10–13-0.0332%5 Sept →
inferno9–13-0.0733%5 Sept →
dust27–13-0.1040%4 Sept →
ancient5–130.0150%4 Sept →
mirage0–13-0.0640%4 Sept →
inferno6–13-0.0228%28 Aug →
ancient11–130.0144%28 Aug →
nuke7–13-0.0720%28 Aug →
ancient13–10-0.0116%28 Aug →
dust213–2-0.034%28 Aug →
inferno13–10-0.0221%27 Aug →
mirage13–50.1120%27 Aug →
dust213–20.0719%26 Aug →
anubis13–30.0522%26 Aug →
cache13–11-0.0116%26 Aug →
nuke13–7-0.0124%26 Aug →
inferno13–7-0.0216%18 Aug →
dust213–90.0123%18 Aug →
dust25–13-0.0747%10 Aug →
mirage8–130.0629%8 Aug →
dust29–130.0115%8 Aug →
ancient13–11-0.0316%8 Aug →
mirage13–30.1221%3 Aug →
cache10–13-0.066%3 Aug →
inferno7–13-0.0221%3 Aug →
ancient1–13-0.0914%3 Aug →
dust213–100.0125%3 Aug →
mirage2–13-0.0614%21 Jul →
nuke4–13-0.089%21 Jul →
cache16–14-0.0913%21 Jul →
nuke13–110.0711%13 Feb →
dust211–13-0.0117%13 Feb →
nuke13–10-0.018%1 Feb →
anubis10–130.0113%1 Feb →
dust213–7-0.0419%1 Feb →
ancient13–10.0859%31 Jan →
inferno9–13-0.0421%30 Jan →
mirage13–60.0424%30 Jan →
anubis13–4-0.0112%30 Jan →
ancient9–13-0.0416%30 Jan →
overpass15–150.0315%14 Jan →
inferno13–20.1428%14 Jan →
train11–130.0319%12 Jan →
overpass13–110.0816%29 Dec →
mirage8–130.0227%29 Dec →
inferno13–11-0.015%21 Dec →
mirage10–13-0.0115%21 Dec →
nuke8–13-0.0521%21 Dec →
dust213–3-0.0227%21 Dec →
ancient11–130.0124%15 Dec →
nuke13–80.0818%15 Dec →
nuke2–13-0.0628%13 Dec →
inferno9–13-0.0323%13 Dec →
overpass9–130.0227%28 Nov →
ancient8–13-0.059%27 Nov →
mirage2–13-0.0850%27 Nov →
overpass8–130.039%20 Nov →
dust25–13-0.0718%18 Nov →
ancient13–110.0329%18 Nov →
overpass13–60.0018%16 Nov →
nuke7–13-0.016%16 Nov →
dust213–100.0117%16 Nov →
inferno13–50.0721%16 Nov →
mirage6–13-0.0517%16 Nov →
dust211–13-0.0415%14 Nov →
ancient13–90.0313%14 Nov →
ancient9–130.0618%1 Nov →
inferno5–13-0.0124%1 Nov →
dust215–15-0.0217%30 Oct →
overpass13–40.119%30 Oct →
nuke3–13-0.0521%30 Oct →
ancient13–160.0124%30 Oct →
ancient13–90.0621%28 Oct →
dust29–130.0027%28 Oct →
dust213–40.1823%28 Oct →
dust214–160.0030%27 Oct →
inferno13–60.0416%27 Oct →
ancient13–20.0623%26 Oct →
mirage10–130.0322%26 Oct →
nuke13–2-0.0023%26 Oct →
dust27–130.0513%23 Oct →
overpass13–40.0923%18 Oct →
dust216–120.1834%18 Oct →
dust216–130.0336%12 Oct →
mirage9–13-0.0245%12 Oct →
overpass6–13-0.0332%12 Oct →
mirage9–13-0.0421%12 Oct →
train13–50.0016%12 Oct →
ancient16–13-0.0224%12 Oct →
overpass8–13-0.0322%11 Oct →
dust210–13-0.0114%11 Oct →
inferno6–13-0.0539%4 Oct →
ancient13–70.0610%4 Oct →
train13–90.0218%4 Oct →
overpass13–70.0713%4 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
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.