樱桃小完犊子

樱桃小完犊子 — CS2 Stats

76561198926779483[U:1:966513755]Steam profile ↗✓ No bans

1,829Tracked matches70%Win rate2020Tracked since
2,726Hours in CS
CSDB Rating7.1 StrongPositional Player
FaceitLevel 10 · 2,156 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,156 → 2,156
+2Tracked matches · now 1,829
+6.7ppWin rate · 63.3% → 70.0%

Rating over time

Premier CS Rating: 23,479 -363 1 May – 13 Jun · 20 days played
22,40124,835peak 24,8351 May13 Jun
Faceit ELO: 2,156 +0 28 Aug – 1 Sept · 3 observations
2,1562,156peak 2,15628 Aug1 Sept
24,973Peak Premier in tracked matches
2,156Highest Faceit ELO seen on CSDB
37Days played since 2026-04-30

Faceit ELO

  • At peak — 2,156
  • Next: 2,500 ELO at 2,500 — 344 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 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
Matches2——
Win rate100%——
K/D0.76——
Headshot %58%——

Measured 11 Sep 2026 → 12 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 rate50.5%50.9%
Shot accuracy7.6%13.7%
Kill/death ratio1.021.09
Match win rate47.8%48.4%

Share this profile

CSDB.GG樱桃小完犊子FACEITLevel 10 · 2,156 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,156csdb.gg/stats

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Performance scores

Aim88
Positioning65
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWWWLWWLWLL

Last 10 vs previous 10: 0pp win rate · −0.06 avg rating · −4.6pp headshot accuracy · −44ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 448ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 531ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 30%
  • Avg reaction 553ms

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).

Aim8.8
Utility4.9
Positioning6.5
Opening Duels5.3
Clutch3.6

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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower 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 88 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim8.8
Positioning6.5
Utility4.9
Mechanics6.7
Opening Duels4.3
Win Impact10.0

Composite 7.1/10 (Strong), 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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time560ms−77ms
first ⅓ avg 638ms → last ⅓ avg 560ms
Headshot accuracy28.9%+3.0%
first ⅓ avg 25.9% → last ⅓ avg 28.9%

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

0.15Best match rating · 13–1 · dust2, 4 Aug →
50%Best headshot accuracy · 1–13 · mirage, 21 May →
422msFastest reaction time · 8–13 · dust2, 9 Aug →
13–0Biggest win · inferno, 8 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
7–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 69% over 16dust2Weakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
mirageB3517–1849%-0.00
infernoA2313–1057%0.01
dust2C229–1341%0.00
ancientS1611–569%-0.00
anubis—21–150%0.01
nuke—11–0100%0.04
overpass—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,573Lifetime kills
1.02K/D
3,388Matches
47.8%Match win rate
50.5%Headshot %
7.6%Shot accuracy
10,992MVPs
2,726Hours (in match)
2,715Bombs planted
880Bombs defused

Most-used weapons

AK-4730,753
AWP12,303
Knife1,872
MP91,352
MAC-101,089

Lifetime map wins

9,944inferno
6,699dust2
1,096vertigo
665nuke
497train
62office
40cbble
23italy

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

Faceit stats

Combat

1,785Matches
53%Win rate
1.13Avg K/D
83.6ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage39452%1.1717.7
Inferno33659%1.1716.9
Anubis15657%1.2117.5
Dust213150%1.1717.8
Ancient7743%1.0717.0
Vertigo2948%0.9716.4
Nuke944%0.9815.3
Overpass633%0.9214.0

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.

30.0%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.9%Spray accuracy
80.1%Counter-strafing
9.3°Preaim
578msReaction time
39.0%T opening success
55.7%CT opening success
0.48Enemies flashed / flash
9.6%Flash assists
5.12HE damage / grenade
6.71Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4824 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 39.0469% — below the 40% mark we flag

Spend your practice time on Dust 2

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

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–5-0.0530%19 Sept →
ancient13–7-0.0522%19 Sept →
ancient19–17-0.0431%9 Aug →
inferno0–2-0.080%9 Aug →
inferno13–7-0.0124%9 Aug →
mirage13–50.0721%9 Aug →
dust28–130.0136%9 Aug →
mirage13–70.0042%9 Aug →
dust210–13-0.0336%8 Aug →
inferno6–13-0.0931%6 Aug →
dust213–70.0419%6 Aug →
anubis3–13-0.0529%6 Aug →
mirage5–13-0.0631%6 Aug →
inferno13–160.0131%6 Aug →
mirage13–30.0544%5 Aug →
mirage13–70.0524%5 Aug →
inferno6–130.1143%5 Aug →
dust213–10.1547%4 Aug →
ancient13–100.0430%4 Aug →
mirage13–70.0321%4 Aug →
mirage8–13-0.0129%4 Aug →
ancient16–12-0.0122%3 Aug →
mirage13–40.0137%3 Aug →
mirage13–10-0.0130%3 Aug →
dust213–60.1129%3 Aug →
inferno13–90.0527%3 Aug →
inferno13–4-0.0230%3 Aug →
anubis13–110.0734%2 Aug →
nuke22–190.0428%1 Aug →
inferno13–20.1125%1 Aug →
dust23–130.0016%1 Aug →
dust28–13-0.0420%1 Aug →
dust28–130.0433%1 Aug →
ancient14–16-0.0129%31 Jul →
ancient13–2-0.0414%30 Jul →
inferno13–70.0724%28 Jul →
mirage10–13-0.0121%28 Jul →
mirage13–110.0522%26 Jul →
dust213–6-0.0423%26 Jul →
mirage9–13-0.0024%26 Jul →
mirage13–80.0210%26 Jul →
mirage13–80.0831%25 Jul →
inferno8–13-0.0128%25 Jul →
mirage13–70.0325%24 Jul →
mirage13–100.0744%17 Jul →
mirage13–10-0.0536%17 Jul →
inferno13–11-0.0022%13 Jun →
inferno10–130.0419%5 Jun →
mirage1–13-0.0717%5 Jun →
mirage13–50.0417%2 Jun →
mirage0–13-0.050%2 Jun →
inferno11–130.0012%2 Jun →
ancient13–80.0726%30 May →
inferno10–13-0.0018%29 May →
dust213–100.0217%29 May →
mirage4–13-0.024%27 May →
dust27–13-0.0212%27 May →
inferno13–70.0124%26 May →
mirage13–80.0319%26 May →
mirage9–130.0234%26 May →
dust213–50.0523%26 May →
ancient13–70.0823%26 May →
mirage11–13-0.0214%24 May →
inferno4–0-0.0020%24 May →
inferno7–13-0.0524%22 May →
overpass15–15-0.0425%22 May →
dust25–13-0.0429%22 May →
dust26–13-0.0816%21 May →
mirage1–13-0.1050%21 May →
mirage10–13-0.039%21 May →
ancient2–13-0.0919%21 May →
mirage7–130.0424%20 May →
ancient13–9-0.0018%20 May →
ancient10–13-0.0223%20 May →
inferno16–140.0016%19 May →
dust210–13-0.0517%19 May →
ancient13–60.0725%19 May →
mirage9–130.0132%19 May →
dust213–4-0.0020%16 May →
inferno13–10-0.0217%16 May →
dust213–110.1328%16 May →
ancient13–110.0127%15 May →
mirage16–13-0.0418%15 May →
mirage13–4-0.0533%14 May →
dust24–13-0.0346%14 May →
mirage6–13-0.0329%14 May →
mirage5–13-0.0420%12 May →
inferno13–10-0.0117%12 May →
ancient13–10-0.0333%12 May →
mirage5–13-0.0715%12 May →
ancient10–130.0125%8 May →
inferno13–0-0.0133%8 May →
dust23–13-0.0221%7 May →
inferno5–13-0.0240%7 May →
mirage11–13-0.0023%7 May →
dust26–13-0.0744%3 May →
mirage3–13-0.0942%3 May →
ancient9–13-0.0513%1 May →
dust215–15-0.0223%1 May →
inferno13–30.1135%30 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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