Castiel

Castiel — CS2 Stats

76561199164598478[U:1:1204332750]Steam profile ↗✓ No bans

278Tracked matches58%Win rate2021Tracked since
1,118Hours in CS0Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Ladder ranks via Leetify
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. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Compare periods

Last 7 days vs previous 7

No matches recorded between 12 Sep 2026 and 20 Sep 2026.

Measured 12 Sep 202620 Sep 2026; no observation near 14 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.

Performance scores

Aim54
Positioning40
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY464311Last 10046%Win rateTWLWWWWTTT

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −1.7pp headshot accuracy · −30ms 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

  • 311 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 667ms

Last 10

  • 514 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 690ms

Last 20

  • 974 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 705ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim5.4
Utility2.4
Positioning4.0
Opening Duels2.4
Clutch0.0

Limited 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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

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

Reaction time. 682ms 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

Aim5.4
Positioning4.0
Utility2.4
Mechanics5.8
Opening Duels1.6
Win Impact7.6

Composite 4.6/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time686ms−43ms
first ⅓ avg 729ms → last ⅓ avg 686ms
Headshot accuracy16.4%−1.8%
first ⅓ avg 18.3% → last ⅓ avg 16.4%

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 · inferno, 24 Oct
60%Best headshot accuracy · 4–13 · overpass, 7 Aug
422msFastest reaction time · 13–0 · office, 4 Oct
13–0Biggest win · office, 4 Oct

Across the last 100 tracked matches.

Highlights

5Longest win streak
59In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 59% over 29grailWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C34151944%-0.00
mirageA29171259%-0.01
nukeC73443%-0.06
infernoA74357%0.05
grailD71614%0.02
train41325%-0.01
ancient32167%-0.01
office32167%-0.02
vertigo2020%-0.09
anubis21150%-0.02
rooftop1010%-0.19
overpass1010%-0.07

Across the last 100 tracked matches.

Lifetime stats

26,998Lifetime kills
0.93K/D
1,484Matches
40.0%Match win rate
41.7%Headshot %
13.3%Shot accuracy · Top 50% of tracked players
3,573MVPs
506Hours (in match)
950Bombs planted
212Bombs defused

Most-used weapons

Lifetime map wins

4,231dust2
1,188inferno
535nuke
313office
282vertigo
117train
36lake
28ar_shoots

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

Faceit stats

Combat

1Matches
0%Win rate
0.53Avg K/D
47.8ADR
56%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

17.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
38.3%Spray accuracy
76.0%Counter-strafing
10.5°Preaim
682msReaction time
36.5%T opening success
36.0%CT opening success
0.54Enemies flashed / flash
6.6%Flash assists
5.21HE damage / grenade
4.54Flashes / 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 36.5268% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.0713%17 Aug
mirage13–4-0.0410%23 Jan
mirage1–13-0.110%3 Jan
dust213–1-0.0216%3 Jan
dust213–30.0320%3 Jan
mirage13–8-0.0617%24 Dec
mirage13–11-0.0323%24 Dec
vertigo12–12-0.088%17 Dec
dust212–12-0.0418%11 Dec
dust212–120.0114%11 Dec
rooftop2–9-0.195%2 Dec
dust28–13-0.0725%2 Dec
ancient16–130.0016%2 Dec
dust20–4-0.0412%2 Dec
inferno8–13-0.0913%2 Dec
inferno9–00.2120%24 Oct
mirage2–13-0.0218%24 Oct
dust213–110.099%24 Oct
mirage13–100.0215%17 Oct
dust28–13-0.0123%17 Oct
dust21–13-0.0417%17 Oct
mirage4–13-0.0519%17 Oct
mirage13–10.0616%7 Oct
nuke8–13-0.0232%6 Oct
dust213–30.0723%6 Oct
nuke13–60.0131%6 Oct
office1–13-0.0412%6 Oct
mirage13–100.0624%6 Oct
office13–0-0.0418%4 Oct
office13–40.0217%4 Oct
grail13–80.0614%29 Aug
grail6–13-0.0413%29 Aug
grail2–130.0614%29 Aug
mirage4–13-0.0516%26 Aug
mirage7–13-0.100%26 Aug
nuke13–9-0.0711%19 Aug
dust213–3-0.0239%19 Aug
ancient12–12-0.0217%19 Aug
ancient13–9-0.0210%8 Aug
mirage16–13-0.0119%8 Aug
dust28–13-0.0417%8 Aug
overpass4–13-0.0760%7 Aug
mirage13–20.108%2 Aug
dust213–11-0.0335%2 Aug
nuke13–4-0.0419%2 Aug
dust213–9-0.0222%22 Jul
mirage9–13-0.077%22 Jul
train13–4-0.0431%22 Jul
mirage13–5-0.0415%22 Jul
dust213–8-0.0123%10 Jul
dust210–30.0428%10 Jul
mirage13–8-0.0417%10 Jul
dust212–120.0424%10 Jul
grail11–130.0516%8 Jul
grail12–120.0416%8 Jul
grail12–120.0212%8 Jul
vertigo1–13-0.109%1 Jul
train0–80.0317%1 Jul
nuke11–13-0.0328%30 Jun
nuke1–9-0.200%30 Jun
anubis13–70.0215%30 Jun
anubis4–13-0.0610%30 Jun
mirage7–130.0319%13 Jun
inferno11–130.0119%8 Jun
mirage16–13-0.0327%8 Jun
mirage9–13-0.0717%8 Jun
dust211–13-0.0123%8 Jun
inferno13–7-0.0114%30 May
mirage11–13-0.0814%30 May
train11–13-0.0116%22 May
mirage13–11-0.0313%22 May
mirage13–9-0.048%22 May
train5–13-0.0230%22 May
dust213–110.0327%16 May
dust21–7-0.0517%16 May
dust23–13-0.0844%16 May
dust212–120.0521%16 May
grail11–13-0.065%8 May
inferno13–60.0525%7 May
dust213–10-0.0612%7 May
dust210–130.0717%7 May
dust28–13-0.0013%7 May
dust213–6-0.0517%2 May
dust213–70.0324%2 May
inferno13–50.1119%2 May
mirage13–70.0222%26 Apr
inferno12–120.0712%26 Apr
dust213–100.0716%26 Apr
dust28–13-0.055%26 Apr
dust25–13-0.0026%22 Apr
mirage13–40.1116%22 Apr
mirage6–10.017%22 Apr
mirage9–13-0.0419%22 Apr
mirage9–13-0.0014%22 Apr
dust22–130.0437%22 Apr
dust213–100.0021%11 Apr
dust211–13-0.0126%11 Apr
mirage12–120.0819%11 Apr
mirage13–40.0312%4 Apr
dust211–13-0.0616%4 Apr

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 →