冰淇凌化成冰牛奶

冰淇凌化成冰牛奶 — CS2 Stats

CN76561199029268341[U:1:1069002613]Steam profile ↗✓ No bans

6,296Tracked matches57%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating13,730Blue band · top ~35.1% of ranked players (population est.)
FaceitLevel 8 · 1,819 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 21 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,730 -497 21 Aug18 Sept · 6 days played
13,73014,227peak 14,22721 Aug18 Sept
Faceit ELO: 1,819 +0 1 Sept4 Sept · 3 observations
1,8191,819peak 1,8191 Sept4 Sept
14,227Peak Premier in tracked matches
1,819Highest Faceit ELO seen on CSDB
24Days played since 2026-08-21

Faceit ELO

  • At peak — 1,819
  • Next: Level 10 at 2,001 182 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier CS Rating

  • 497 below peak (14,227)
  • -497 over 30 days · declining
  • Next: Purple band at 15,000 1,270 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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.

Share this profile

CSDB.GG冰淇凌化成冰牛奶FACEITLevel 8 · 1,819 ELOSTANDINGTop 31.2% of rankedPREMIER13,730 · Blue bandPEAK ELO1,819csdb.gg/stats

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Performance scores

Aim62
Positioning44
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY55441Last 10055%Win rateLWWLWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.1pp headshot accuracy · −59ms 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

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 591ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

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: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim6.2
Utility4.8
Positioning4.4
Opening Duels1.4
Clutch2.6

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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. 628ms 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

Aim6.2
Positioning4.4
Utility4.8
Mechanics7.0
Opening Duels1.7
Win Impact7.2

Composite 5.1/10 (Developing), 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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time626ms+25ms
first ⅓ avg 602ms → last ⅓ avg 626ms
Headshot accuracy19.5%−0.4%
first ⅓ avg 19.9% → last ⅓ avg 19.5%

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

0.11Best match rating · 13–5 · ancient, 22 Aug
50%Best headshot accuracy · 13–1 · dust2, 29 Aug
422msFastest reaction time · 8–13 · mirage, 29 Aug
13–1Biggest win · dust2, 29 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
86In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 61% over 31nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A31191261%-0.03
mirageA29161355%-0.01
ancientA1810856%-0.04
anubisC146843%-0.03
nukeC52340%-0.05
cache21150%-0.02
inferno110100%0.08

Across the last 100 tracked matches.

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

Faceit stats

Combat

2,890Matches
48%Win rate
0.89Avg K/D
74.3ADR
48%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage77349%0.9114.9
Dust240448%0.9014.7
Ancient37551%0.8714.2
Anubis36142%0.8514.1
Inferno19343%0.8313.7
Nuke14451%0.9215.4
Vertigo5958%0.8814.2
Train2241%0.7112.6

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.

19.5%Headshot accuracy
33.1%Accuracy (enemy spotted)
28.6%Spray accuracy
81.6%Counter-strafing
9.3°Preaim
628msReaction time
38.1%T opening success
35.6%CT opening success
0.64Enemies flashed / flash
11.6%Flash assists
7.48HE damage / grenade
5.16Flashes / 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 38.0516% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0516%18 Sept
mirage13–40.0623%18 Sept
anubis13–11-0.0524%17 Sept
dust27–13-0.0222%17 Sept
ancient16–12-0.0823%17 Sept
cache14–16-0.0122%16 Sept
dust213–11-0.0513%12 Sept
anubis8–13-0.0710%12 Sept
mirage13–70.0113%12 Sept
dust213–6-0.0510%12 Sept
mirage9–13-0.0022%12 Sept
ancient21–25-0.0519%12 Sept
mirage13–90.0119%11 Sept
dust213–7-0.0517%11 Sept
mirage9–13-0.0015%11 Sept
ancient8–13-0.0132%11 Sept
ancient13–7-0.0116%9 Sept
dust213–8-0.0012%9 Sept
mirage11–130.0116%9 Sept
dust213–9-0.0018%9 Sept
dust213–7-0.0420%9 Sept
mirage6–13-0.0316%9 Sept
ancient16–12-0.0117%8 Sept
dust213–9-0.0433%8 Sept
mirage13–5-0.0319%8 Sept
anubis8–130.0222%8 Sept
anubis9–13-0.0713%8 Sept
dust28–13-0.0621%8 Sept
dust213–100.0429%8 Sept
dust213–5-0.0333%8 Sept
dust210–13-0.0315%7 Sept
dust29–13-0.0815%7 Sept
mirage9–13-0.0327%7 Sept
mirage6–13-0.0526%7 Sept
mirage13–80.0324%7 Sept
anubis10–13-0.0226%6 Sept
anubis13–5-0.0015%6 Sept
dust213–16-0.0219%6 Sept
dust213–8-0.0022%6 Sept
ancient9–13-0.0733%5 Sept
dust27–13-0.0525%5 Sept
mirage16–190.0127%5 Sept
anubis9–13-0.0318%5 Sept
mirage13–30.019%5 Sept
dust216–13-0.035%5 Sept
ancient13–7-0.1021%5 Sept
ancient13–11-0.0712%4 Sept
mirage4–13-0.0618%4 Sept
nuke8–13-0.0334%4 Sept
ancient7–13-0.0616%4 Sept
mirage13–90.0123%4 Sept
anubis13–40.0324%4 Sept
ancient11–13-0.0521%4 Sept
anubis13–7-0.0513%3 Sept
nuke13–8-0.0116%3 Sept
ancient13–6-0.0521%3 Sept
dust213–7-0.0916%3 Sept
mirage11–13-0.0318%3 Sept
dust217–19-0.0716%1 Sept
mirage13–8-0.0011%1 Sept
mirage19–17-0.0025%31 Aug
nuke8–13-0.0613%31 Aug
ancient13–70.0318%31 Aug
mirage13–9-0.0914%31 Aug
dust213–8-0.0413%30 Aug
mirage13–5-0.0024%30 Aug
dust213–6-0.0020%30 Aug
dust213–11-0.0625%30 Aug
dust213–1-0.0550%29 Aug
dust213–6-0.0124%29 Aug
ancient6–13-0.0814%29 Aug
mirage8–13-0.0519%29 Aug
anubis13–10-0.0511%29 Aug
anubis8–13-0.0413%29 Aug
ancient8–13-0.0617%29 Aug
dust211–13-0.0512%28 Aug
anubis9–13-0.0526%28 Aug
dust24–13-0.0710%28 Aug
nuke13–10-0.0517%27 Aug
ancient13–10-0.0621%27 Aug
ancient6–13-0.0414%26 Aug
mirage8–130.0433%26 Aug
anubis13–10-0.0411%26 Aug
dust210–13-0.0213%25 Aug
dust210–13-0.067%24 Aug
ancient13–10-0.0417%24 Aug
mirage13–9-0.0519%23 Aug
mirage13–11-0.0518%23 Aug
mirage9–13-0.0623%23 Aug
cache13–6-0.0417%23 Aug
anubis15–15-0.0719%22 Aug
dust213–50.0217%22 Aug
mirage13–40.0121%22 Aug
ancient13–50.1133%22 Aug
mirage13–9-0.0219%22 Aug
mirage13–11-0.0217%22 Aug
mirage10–130.0422%22 Aug
dust213–11-0.0030%21 Aug
inferno13–60.0832%21 Aug
nuke13–16-0.0818%21 Aug

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 →