我想吃葡萄

我想吃葡萄 — CS2 Stats

76561199049142974[U:1:1088877246]Steam profile ↗✓ No bans

618Tracked matches52%Win rate2024Tracked since
1,222Hours in CS4Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
FaceitLevel 10 · 1,992 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,992 → 1,992
+12Tracked matches · now 618
−10.4ppWin rate · 62.1% → 51.7%

Rating over time

Premier CS Rating: 22,417 +443 29 Mar – 16 Jun · 6 days played
20,51222,417peak 22,41729 Mar16 Jun
Faceit ELO: 1,992 +0 28 Aug – 13 Sept · 4 observations
1,9921,992peak 1,99228 Aug13 Sept
22,417Peak Premier in tracked matches
1,992Highest Faceit ELO seen on CSDB
56Days played since 2026-03-22

Faceit ELO

  • At peak — 1,992
  • Next: Level 10 at 2,001 — 9 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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 rate45%——
K/D1.03——
Headshot %40%——

Measured 13 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 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 rate57.3%50.9%
Shot accuracy3.4%13.7%
Kill/death ratio1.111.09
Match win rate58.8%48.4%

Share this profile

CSDB.GG我想吃葡萄FACEITLevel 10 · 1,992 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,992csdb.gg/stats

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Performance scores

Aim79
Positioning59
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLLLWWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +11.2pp headshot accuracy · +131ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 585ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 639ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 574ms

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 (+1.4 against its own average).

Aim7.9
Utility5.5
Positioning5.9
Opening Duels2.9
Clutch3.6

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: positioning profile, aim profile.

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

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

Aim7.9
Positioning5.9
Utility5.5
Mechanics6.9
Opening Duels2.9
Win Impact5.6

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time573ms−9ms
first ⅓ avg 582ms → last ⅓ avg 573ms
Headshot accuracy23.9%−3.8%
first ⅓ avg 27.7% → last ⅓ avg 23.9%

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 · dust2, 15 Jun →
100%Best headshot accuracy · 0–2 · nuke, 8 Jun →
406msFastest reaction time · 4–13 · mirage, 19 Jun →
13–1Biggest win · dust2, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–5In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 69% over 29infernoWeakest map · 45% over 22
MapGradePlayedRecordWin rateAvg rating
dust2S2920–969%0.01
mirageA2516–964%-0.00
infernoB2210–1245%-0.01
ancientB178–947%0.01
anubis—41–325%-0.05
nuke—20–20%-0.04
cache—10–10%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,135Lifetime kills
1.11K/D · Top 50% of Level 10 players
919Matches
58.8%Match win rate · Top 5% of Level 10 players
57.3%Headshot % · Top 25% of Level 10 players
3.4%Shot accuracy
3,033MVPs
4,705Hours (in match)
1,115Bombs planted
445Bombs defused

Most-used weapons

Lifetime map wins

2,569dust2
2,301inferno
445nuke
100train
91vertigo
6office

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

Faceit stats

Combat

332Matches
58%Win rate
1.19Avg K/D
79.4ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage12460%1.1816.8
Dust26461%1.3016.3
Ancient5857%1.1317.0
Inferno5652%1.0915.4
Anubis2171%1.4517.3
Train520%1.0413.2
Overpass20%0.9614.5
Nuke1100%1.3320.0

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
33.0%Accuracy (enemy spotted)
33.9%Spray accuracy
81.0%Counter-strafing
8.3°Preaim
563msReaction time
47.7%T opening success
35.2%CT opening success
0.62Enemies flashed / flash
8.0%Flash assists
5.05HE damage / grenade
9.65Flashes / 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 35.2242% — below the 40% mark we flag

Spend your practice time on Inferno

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

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–130.0037%3 Oct →
inferno5–13-0.0322%18 Sept →
mirage4–13-0.0424%18 Sept →
inferno13–30.0726%14 Sept →
dust213–50.0532%14 Sept →
dust216–13-0.0018%13 Sept →
dust213–90.0225%9 Sept →
dust213–70.0614%9 Sept →
ancient12–160.0351%7 Sept →
dust28–1-0.0150%7 Sept →
dust211–13-0.0526%4 Sept →
mirage13–3-0.0412%4 Sept →
ancient13–90.0713%1 Sept →
dust213–80.0122%1 Sept →
ancient13–100.0317%30 Aug →
mirage13–90.0727%29 Aug →
mirage6–130.0720%29 Aug →
inferno14–160.0116%28 Aug →
dust28–13-0.027%24 Aug →
inferno9–13-0.1027%23 Aug →
ancient1–13-0.0619%23 Aug →
anubis16–140.0129%20 Aug →
dust215–150.0333%19 Aug →
mirage13–80.0023%13 Aug →
dust28–13-0.0226%11 Aug →
ancient19–170.0019%9 Aug →
mirage5–13-0.0226%6 Aug →
inferno13–16-0.0619%6 Aug →
mirage13–70.0124%5 Aug →
inferno6–130.0118%5 Aug →
dust213–10.0425%4 Aug →
ancient13–10-0.0516%4 Aug →
mirage13–70.0727%4 Aug →
inferno13–9-0.0019%3 Aug →
inferno13–40.0128%3 Aug →
ancient14–160.0125%31 Jul →
dust27–30.0038%29 Jul →
dust24–13-0.0720%29 Jul →
mirage13–10-0.0738%20 Jul →
ancient6–130.0031%16 Jul →
inferno4–13-0.0420%16 Jul →
mirage13–8-0.0315%16 Jul →
inferno13–90.0126%15 Jul →
inferno13–30.0934%13 Jul →
inferno13–30.0429%13 Jul →
mirage9–13-0.0422%13 Jul →
mirage13–70.0431%12 Jul →
mirage13–11-0.0623%12 Jul →
ancient10–130.0018%12 Jul →
dust213–8-0.0518%11 Jul →
inferno5–13-0.0810%11 Jul →
mirage13–90.0219%11 Jul →
anubis14–16-0.0224%11 Jul →
mirage10–13-0.0418%11 Jul →
mirage13–9-0.0338%7 Jul →
dust26–13-0.0519%5 Jul →
ancient8–13-0.0126%5 Jul →
inferno13–100.0021%4 Jul →
inferno6–13-0.0436%4 Jul →
inferno25–23-0.0027%3 Jul →
dust216–13-0.0028%3 Jul →
dust213–11-0.0725%2 Jul →
dust210–130.0218%2 Jul →
dust27–13-0.0523%1 Jul →
mirage4–13-0.0719%30 Jun →
mirage16–120.0130%30 Jun →
ancient13–60.0030%30 Jun →
ancient10–13-0.0016%30 Jun →
inferno4–13-0.0719%29 Jun →
ancient6–13-0.0828%28 Jun →
mirage13–10-0.0221%28 Jun →
mirage9–13-0.0118%28 Jun →
inferno0–13-0.020%27 Jun →
dust213–50.0318%25 Jun →
dust216–12-0.0316%22 Jun →
dust213–80.0228%21 Jun →
mirage13–10.0328%21 Jun →
mirage4–13-0.0914%19 Jun →
dust213–100.0232%18 Jun →
ancient13–110.0920%18 Jun →
dust213–90.0422%18 Jun →
ancient9–13-0.0623%17 Jun →
mirage13–60.0325%16 Jun →
mirage9–130.0330%16 Jun →
dust213–50.1345%15 Jun →
inferno13–80.0429%15 Jun →
nuke8–130.0320%14 Jun →
inferno13–80.0531%14 Jun →
inferno15–190.0228%11 Jun →
anubis12–16-0.0633%9 Jun →
anubis2–13-0.130%8 Jun →
nuke0–2-0.11100%8 Jun →
mirage13–10.0821%15 Apr →
inferno2–13-0.1250%15 Apr →
dust213–20.0438%15 Apr →
dust215–150.0429%14 Apr →
dust213–40.0550%29 Mar →
ancient13–60.0725%29 Mar →
ancient13–60.0524%29 Mar →
dust213–40.0731%22 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.