超时空飞叶姬!

超时空飞叶姬! — CS2 Stats

US76561198155246736[U:1:194981008]Steam profile ↗

334Tracked matches42%Win rate2025Tracked since
444Hours in CS5Hrs last 2 wks
CSDB Rating3.4 Learning
Premier CS Rating12,362Blue band · top ~42.4% of ranked players (population est.)
CSDB Leaderboard#29613 of 43529 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate30.0%41.4%44.2%14.2% short
Shot accuracy10.7%9.0%11.6%0.8% short
Kill/death ratio0.970.971.030.06 short
Match win rate37.0%43.7%45.2%8.2% short

This profile sits below the typical Purple band player on every metric we can compare.

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

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CSDB.GG超时空飞叶姬!PREMIER12,362 · Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning44
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY40519Last 10040%Win rateTWLLLLLWWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim3.2
Aggression4.8
Utility5.3
Positioning4.4
Opening Duels1.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 46% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.2
Positioning4.4
Utility5.3
Mechanics3.6
Opening Duels2.0
Win Impact2.2

Composite 3.4/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time630ms−47ms
first ⅓ avg 677ms → last ⅓ avg 630ms
Headshot accuracy9.1%−0.6%
first ⅓ avg 9.7% → last ⅓ avg 9.1%

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.

Highlights

0.09Best rating — mirage 10–13
130Biggest win — cache
4Longest win streak
48In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2D3082227%-0.03
mirageC2381535%-0.02
infernoS1913668%-0.02
ancientD123925%-0.02
anubisC83538%-0.03
cacheS54180%-0.02
nuke31233%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,982Lifetime kills
0.97K/D
621Matches
37.0%Match win rate
30.0%Headshot %
10.7%Shot accuracy · Top 50% of Blue band
809MVPs
199Hours (in match)
415Bombs planted
88Bombs defused

Most-used weapons

Lifetime map wins

1,663dust2
645inferno
177nuke
35vertigo
25train
17lake
14cbble
11safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.4%Headshot accuracy
31.4%Accuracy (enemy spotted)
36.9%Spray accuracy
66.3%Counter-strafing
11.9°Preaim
635msReaction time
22.5%T opening success
45.7%CT opening success
0.58Enemies flashed / flash
8.7%Flash assists
5.73HE damage / grenade
9.10Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.4215% — below the 15% mark we flag

    Aim Training
  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 22.5263% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage15–15-0.0310%28 Aug
dust213–11-0.046%28 Aug
mirage13–16-0.0814%22 Aug
dust214–16-0.0310%20 Aug
ancient5–130.058%18 Aug
inferno6–13-0.102%18 Aug
dust211–13-0.0011%18 Aug
ancient13–40.010%16 Aug
ancient13–9-0.0713%13 Aug
anubis13–10-0.019%13 Aug
inferno7–13-0.068%11 Aug
nuke13–110.048%11 Aug
mirage12–12-0.068%10 Aug
ancient1–13-0.022%10 Aug
inferno13–100.0615%7 Aug
ancient12–12-0.056%6 Aug
dust29–13-0.028%6 Aug
inferno13–5-0.083%5 Aug
mirage15–15-0.0319%5 Aug
nuke11–13-0.068%5 Aug
inferno10–13-0.073%5 Aug
dust210–130.057%5 Aug
ancient13–90.038%4 Aug
inferno15–150.014%4 Aug
anubis11–130.003%4 Aug
cache13–10-0.0113%4 Aug
dust210–13-0.0827%2 Aug
mirage8–13-0.0413%2 Aug
inferno13–50.0315%2 Aug
anubis15–15-0.0612%2 Aug
mirage9–13-0.080%2 Aug
inferno13–9-0.0113%1 Aug
ancient12–12-0.0716%1 Aug
mirage13–10-0.005%1 Aug
inferno13–4-0.029%31 Jul
anubis7–13-0.0610%31 Jul
dust213–9-0.075%31 Jul
inferno13–7-0.030%31 Jul
cache13–40.0110%31 Jul
mirage1–13-0.026%31 Jul
ancient2–13-0.0611%30 Jul
dust22–130.0317%30 Jul
dust29–13-0.0513%30 Jul
dust22–13-0.050%30 Jul
inferno6–13-0.0512%30 Jul
inferno15–15-0.064%30 Jul
mirage13–50.028%29 Jul
dust27–13-0.0725%29 Jul
mirage5–13-0.089%29 Jul
cache13–9-0.0113%29 Jul
mirage13–70.0616%28 Jul
dust26–13-0.048%28 Jul
inferno13–40.066%28 Jul
mirage5–13-0.036%28 Jul
anubis1–13-0.064%27 Jul
cache13–0-0.060%27 Jul
ancient7–130.0320%27 Jul
dust213–160.0014%26 Jul
anubis16–14-0.0510%26 Jul
dust210–6-0.019%26 Jul
dust210–13-0.0211%26 Jul
mirage10–130.0910%26 Jul
cache6–13-0.0313%25 Jul
mirage13–8-0.0013%25 Jul
inferno16–120.047%25 Jul
dust210–13-0.0414%24 Jul
anubis13–10-0.0112%24 Jul
mirage7–10.036%24 Jul
inferno13–9-0.0110%24 Jul
dust213–11-0.048%24 Jul
ancient9–13-0.019%23 Jul
anubis9–13-0.016%23 Jul
inferno13–7-0.0114%23 Jul
mirage9–13-0.018%23 Jul
ancient12–16-0.0511%23 Jul
dust29–13-0.048%23 Jul
dust213–10-0.0211%22 Jul
mirage13–100.038%22 Jul
inferno13–2-0.0510%22 Jul
dust211–13-0.0310%22 Jul
dust213–70.0111%22 Jul
mirage8–13-0.110%22 Jul
dust215–15-0.0311%22 Jul
dust213–30.014%22 Jul
inferno13–50.0128%21 Jul
dust28–130.0114%21 Jul
dust28–13-0.0416%21 Jul
dust211–130.0012%21 Jul
ancient11–13-0.057%20 Jul
mirage0–13-0.053%20 Jul
mirage7–13-0.0318%20 Jul
dust211–13-0.0411%20 Jul
nuke7–13-0.019%20 Jul
dust216–13-0.0411%18 Jul
inferno13–7-0.047%18 Jul
mirage8–13-0.075%17 Jul
dust26–13-0.1011%16 Jul
mirage13–8-0.0410%15 Jul
mirage13–30.028%13 Jul
dust213–16-0.075%13 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →