炒饭

炒饭 — CS2 Stats

76561199231992320[U:1:1271726592]Steam profile ↗✓ No bans

1,038Tracked matches53%Win rate2022Tracked since
2,032Hours in CS
CSDB Rating7.5 StrongPositional Player
Premier CS Rating16,411Purple band · top ~22.8% of ranked players (population est.)
FaceitLevel 6 · 1,344 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG炒饭FACEITLevel 6 · 1,344 ELOSTANDINGTop 54.0% of rankedPREMIER16,411 · Purple bandcsdb.gg/stats

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Performance scores

Aim92
Positioning69
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateLWLWWWLLWW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −2.3pp headshot accuracy · −6ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 584ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 576ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 579ms

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 (+2.3 against its own average).

Aim9.2
Utility4.8
Positioning6.9
Opening Duels4.5
Clutch2.2

Sharp aimerExcellent counter-strafingLimited utility dependence

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

donk

Plays most like donk 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

Reaction time. 572ms 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

Aim9.2
Positioning6.9
Utility4.8
Mechanics9.0
Opening Duels6.7
Win Impact6.1

Composite 7.5/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time581ms−36ms
first ⅓ avg 617ms → last ⅓ avg 581ms
Headshot accuracy23.1%+2.7%
first ⅓ avg 20.4% → last ⅓ avg 23.1%

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 · 13–4 · mirage, 14 Sept →
60%Best headshot accuracy · 13–4 · dust2, 2 Sept →
406msFastest reaction time · 2–13 · mirage, 11 Sept →
13–2Biggest win · nuke, 13 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
14–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
dust2A3019–1163%0.02
mirageA2917–1259%0.02
ancientC229–1341%-0.01
infernoB84–450%-0.01
anubisS64–267%0.02
nuke—21–150%-0.08
cache—21–150%-0.05
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

44,918Lifetime kills
1.10K/D
1,912Matches
48.9%Match win rate
52.4%Headshot %
3.4%Shot accuracy
11,257MVPs
2,032Hours (in match)
1,034Bombs planted
432Bombs defused

Most-used weapons

AK-4715,046
AWP8,261
SSG 081,429
Knife382

Lifetime map wins

5,681dust2
3,305inferno
726nuke
308vertigo
145train
23office
10ar_baggage
9italy

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

Faceit stats

Combat

352Matches
51%Win rate
1.17Avg K/D
79.3ADR
44%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage11352%1.2316.2
Dust210158%1.2416.1
Ancient4533%0.9816.0
Inferno3358%1.3717.1
Anubis1741%0.9614.3
Nuke825%0.8913.1
Overpass2100%1.5218.5
Train1100%1.2520.0

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.

23.5%Headshot accuracy
40.3%Accuracy (enemy spotted)
34.5%Spray accuracy
90.4%Counter-strafing
6.5°Preaim
572msReaction time
59.0%T opening success
55.0%CT opening success
0.55Enemies flashed / flash
2.5%Flash assists
10.47HE damage / grenade
4.76Flashes / 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno15–19-0.0228%15 Nov →
dust213–80.0216%15 Nov →
mirage3–130.0332%13 Nov →
anubis13–9-0.0116%13 Nov →
nuke13–2-0.0427%13 Nov →
ancient13–110.0120%11 Nov →
mirage6–130.0939%10 Nov →
mirage10–130.0018%9 Nov →
dust29–20.097%9 Nov →
inferno13–8-0.0517%6 Nov →
dust27–13-0.068%6 Nov →
dust210–130.0522%4 Nov →
mirage13–90.1548%4 Nov →
cache13–11-0.0314%31 Oct →
dust213–80.0621%31 Oct →
dust213–80.0438%29 Oct →
ancient13–9-0.0412%28 Oct →
mirage5–13-0.0120%26 Oct →
anubis13–50.0125%26 Oct →
dust213–3-0.0433%25 Oct →
dust216–13-0.0818%25 Oct →
anubis13–70.0515%24 Oct →
mirage12–160.0129%23 Oct →
ancient14–16-0.0216%21 Oct →
anubis5–130.0723%21 Oct →
cache5–13-0.0738%20 Oct →
dust213–110.0121%20 Oct →
ancient7–13-0.0013%20 Oct →
dust29–130.0352%20 Oct →
mirage7–13-0.0319%20 Oct →
mirage7–13-0.0913%18 Oct →
mirage13–11-0.0115%17 Oct →
dust213–2-0.0128%17 Oct →
ancient13–100.0018%16 Oct →
mirage13–7-0.0020%16 Oct →
ancient11–13-0.0516%9 Oct →
dust213–4-0.0716%2 Oct →
dust213–40.0425%1 Oct →
ancient13–160.0120%29 Sept →
ancient16–12-0.0318%29 Sept →
inferno13–50.0017%29 Sept →
inferno9–13-0.0010%26 Sept →
dust213–110.0820%26 Sept →
ancient13–110.0624%17 Sept →
dust27–130.0317%14 Sept →
mirage13–40.1830%14 Sept →
ancient13–7-0.0135%13 Sept →
ancient7–13-0.0822%13 Sept →
mirage4–13-0.0238%13 Sept →
ancient6–13-0.0725%13 Sept →
ancient8–13-0.0513%12 Sept →
dust213–110.0221%12 Sept →
ancient5–13-0.0233%11 Sept →
mirage2–13-0.0521%11 Sept →
dust221–25-0.0426%7 Sept →
dust213–16-0.0524%7 Sept →
ancient8–130.0114%7 Sept →
dust216–14-0.0319%6 Sept →
mirage13–10-0.0330%5 Sept →
mirage13–70.0121%5 Sept →
dust28–130.0720%5 Sept →
dust29–130.0123%4 Sept →
dust213–40.0760%2 Sept →
mirage13–11-0.0728%2 Sept →
mirage13–80.0123%2 Sept →
mirage13–8-0.0129%1 Sept →
dust26–13-0.0619%1 Sept →
ancient9–13-0.0218%1 Sept →
inferno0–13-0.0930%28 Aug →
ancient8–130.0212%27 Aug →
ancient16–120.0323%27 Aug →
ancient13–30.0321%27 Aug →
anubis7–13-0.0710%26 Aug →
ancient13–30.0815%26 Aug →
mirage10–13-0.0323%26 Aug →
mirage10–130.0224%25 Aug →
dust213–110.0729%24 Aug →
mirage13–100.0824%23 Aug →
inferno13–100.0522%23 Aug →
mirage13–110.0618%23 Aug →
dust213–30.1117%21 Aug →
mirage2–13-0.0429%19 Aug →
mirage13–70.029%18 Aug →
mirage13–110.0928%14 Aug →
dust213–40.1217%14 Aug →
vertigo13–11-0.019%13 Aug →
nuke0–1-0.120%11 Aug →
anubis13–90.0519%9 Aug →
ancient17–19-0.0313%7 Aug →
mirage13–40.0729%6 Aug →
inferno16–130.0629%4 Aug →
dust210–130.0025%3 Aug →
dust216–14-0.0115%1 Aug →
mirage13–20.0229%1 Aug →
dust213–3-0.0219%1 Aug →
mirage13–80.0211%1 Aug →
ancient10–13-0.0027%31 Jul →
mirage13–100.0016%31 Jul →
dust28–130.0528%31 Jul →
inferno4–130.0133%30 Jul →

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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