楚子航

楚子航 — CS2 Stats

CN76561198954156638[U:1:993890910]Steam profile ↗✓ No bans

501Tracked matches70%Win rate2024Tracked since
969Hours in CS14Hrs last 2 wks
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating9,188Light Blue band · top ~58.8% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 9,188 -1,594 17 Apr – 8 Oct · 19 days played
8,71712,457peak 12,45717 Apr8 Oct
12,457Peak Premier in tracked matches
838Highest Faceit ELO seen on CSDB
52Days played since 2026-04-17

Faceit ELO

  • At peak — 838
  • Next: Level 4 at 901 — 63 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 3,269 below peak (12,457)
  • Next: Blue band at 10,000 — 812 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate43.1%39.9%42.0%above
Shot accuracy0.1%7.0%9.6%9.5% short
Kill/death ratio0.800.920.980.18 short
Match win rate41.3%42.3%43.8%2.5% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG楚子航PREMIER9,188 · Light Blue bandPEAK ELO838csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim25
Positioning61
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY45–45–10Last 10045%Win rateWWWWLLLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.3pp headshot accuracy · −86ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 544ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 585ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 627ms

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 (+2.2 against its own average).

Aim2.5
Utility3.4
Positioning6.1
Opening Duels2.5
Clutch3.6

Strong CT-side opener

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

jL

Plays most like jL 61% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 641ms 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

Aim2.5
Positioning6.1
Utility3.4
Mechanics4.6
Opening Duels4.1
Win Impact10.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time646ms−36ms
first ⅓ avg 682ms → last ⅓ avg 646ms
Headshot accuracy12.7%−2.6%
first ⅓ avg 15.3% → last ⅓ avg 12.7%

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

0.21Best match rating · 9–0 · nuke, 22 May →
39%Best headshot accuracy · 9–7 · nuke, 26 Apr →
469msFastest reaction time · 9–4 · inferno, 8 Oct →
13–1Biggest win · dust2, 18 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
6–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 61% over 28infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2817–1161%-0.00
mirageB2210–1245%-0.05
nukeC176–1135%-0.03
poseidonD93–633%-0.02
vertigoD72–529%-0.04
infernoD51–420%-0.05
ancientA53–260%-0.04
cache—32–167%-0.04
anubis—21–150%0.00
debris—10–10%0.05
sanctum—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,720Lifetime kills
0.80K/D
1,478Matches
41.3%Match win rate
43.1%Headshot % · Top 50% of Light Blue band
0.1%Shot accuracy
2,336MVPs
471Hours (in match)
1,320Bombs planted
292Bombs defused

Most-used weapons

Lifetime map wins

3,520dust2
1,558inferno
929nuke
543vertigo
161train
40italy
26ar_shoots
22ar_baggage

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

Faceit stats

Combat

88Matches
53%Win rate
0.77Avg K/D
63.0ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
10%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust23155%0.9213.4
Mirage2952%0.6910.8
Nuke1050%0.6511.4
Ancient850%0.7610.8
Inferno540%0.619.0
Train2100%0.8413.0
Vertigo250%1.0015.5
Cache1100%0.356.0

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.

13.0%Headshot accuracy
28.1%Accuracy (enemy spotted)
34.7%Spray accuracy
70.7%Counter-strafing
14.7°Preaim
641msReaction time
43.5%T opening success
49.6%CT opening success
0.66Enemies flashed / flash
3.5%Flash assists
4.13HE damage / grenade
6.75Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.7134° — above the 12° mark we flag

    Aim Training →
  2. 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 12.9971% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–40.0115%8 Oct →
ancient13–70.0318%8 Oct →
mirage13–9-0.037%7 Oct →
anubis13–50.0612%7 Oct →
nuke9–13-0.0314%7 Oct →
anubis7–13-0.0515%6 Oct →
nuke5–13-0.0311%6 Oct →
mirage13–11-0.095%3 Oct →
nuke6–9-0.107%3 Oct →
cache13–100.0311%2 Oct →
mirage13–11-0.0314%1 Oct →
dust213–40.0323%1 Oct →
mirage13–50.0122%1 Oct →
mirage5–13-0.1110%29 Sept →
nuke8–8-0.0410%29 Sept →
mirage5–13-0.117%29 Sept →
dust213–5-0.0113%28 Sept →
dust213–2-0.0314%28 Sept →
nuke8–8-0.098%27 Sept →
dust210–13-0.077%26 Sept →
dust213–70.035%24 Sept →
dust213–30.0515%23 Sept →
cache13–8-0.077%22 Sept →
vertigo13–5-0.0212%22 Sept →
vertigo11–13-0.0115%22 Sept →
dust213–30.0113%21 Sept →
mirage12–120.0311%21 Sept →
dust212–12-0.0112%20 Sept →
dust213–50.0127%20 Sept →
mirage13–8-0.0311%18 Sept →
dust213–10.0317%18 Sept →
mirage15–15-0.0420%17 Sept →
dust213–40.0611%17 Sept →
mirage11–13-0.1016%16 Sept →
dust24–13-0.0019%16 Sept →
vertigo3–13-0.0212%16 Sept →
inferno7–13-0.0412%16 Sept →
mirage13–5-0.098%16 Sept →
mirage4–130.0222%16 Sept →
vertigo13–40.0418%12 Sept →
dust216–12-0.0114%12 Sept →
mirage13–11-0.0323%12 Sept →
dust213–7-0.0515%11 Sept →
mirage5–13-0.0712%11 Sept →
dust25–13-0.0024%5 Sept →
ancient3–13-0.128%17 Aug →
mirage12–16-0.1010%7 Aug →
mirage7–13-0.0511%6 Aug →
nuke5–9-0.2016%6 Aug →
nuke4–9-0.1218%3 Aug →
nuke5–9-0.0817%31 Jul →
mirage12–16-0.0926%19 Jul →
debris8–80.058%19 Jul →
vertigo3–9-0.0816%16 Jul →
dust213–10.0128%13 Jul →
nuke15–15-0.0316%1 Jul →
ancient7–13-0.0421%26 Jun →
mirage10–13-0.0621%26 Jun →
poseidon4–9-0.0220%1 Jun →
vertigo8–8-0.0914%1 Jun →
nuke9–60.0824%31 May →
poseidon0–9-0.2511%31 May →
poseidon6–90.0020%31 May →
ancient13–3-0.053%31 May →
dust29–13-0.0622%25 May →
dust28–13-0.0610%25 May →
dust215–150.0114%24 May →
poseidon2–9-0.1718%23 May →
inferno6–13-0.0718%22 May →
vertigo0–7-0.080%22 May →
sanctum6–9-0.0424%22 May →
nuke3–9-0.1417%22 May →
dust28–13-0.124%22 May →
nuke9–70.0818%22 May →
nuke9–00.2111%22 May →
nuke9–10.163%22 May →
inferno7–13-0.0612%21 May →
poseidon5–90.0614%20 May →
dust213–80.0220%20 May →
nuke1–9-0.1511%20 May →
mirage13–90.078%17 May →
nuke13–9-0.0118%14 May →
ancient13–7-0.0424%14 May →
dust213–50.1322%5 May →
inferno4–9-0.0716%3 May →
poseidon9–30.1520%3 May →
dust213–10.0320%3 May →
poseidon3–30.0219%2 May →
poseidon8–8-0.0613%2 May →
dust28–13-0.048%2 May →
dust210–13-0.0215%1 May →
mirage13–5-0.0014%30 Apr →
cache11–13-0.0816%29 Apr →
mirage14–16-0.089%27 Apr →
dust210–13-0.0310%27 Apr →
poseidon9–50.1119%26 Apr →
nuke9–70.0339%26 Apr →
dust213–90.0013%25 Apr →
mirage13–8-0.076%24 Apr →
dust213–90.0125%17 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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