Angel of Chips

Angel of Chips — CS2 Stats

76561198041280178[U:1:81014450]Steam profile ↗✓ No bans

1,337Tracked matches50%Win rate2023Tracked since
CSDB Rating6.8 SolidSupport
Premier CS Rating26,516Top 5% of 204,412 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#9069 of 251496 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (5 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: 26,516 -1,804 24 May – 9 Oct · 37 days played
22,79428,320peak 28,32024 May9 Oct
28,320Peak Premier in tracked matches
49Days played since 2026-05-23

Premier CS Rating

  • 1,804 below peak (28,320)
  • -300 over 30 days · steady
  • +97 over 90 days
  • Next: Gold band at 30,000 — 3,484 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

CSDB.GGAngel of ChipsFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,516 · Red bandcsdb.gg/stats

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Performance scores

Aim78
Positioning63
Utility67

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateWLWLLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −4.2pp headshot accuracy · −74ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 483ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 520ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.8
Utility6.7
Positioning6.3
Opening Duels3.9
Clutch4.4

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 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.8
Positioning6.3
Utility6.7
Mechanics6.6
Opening Duels3.9
Win Impact5.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time512ms−73ms
first ⅓ avg 585ms → last ⅓ avg 512ms
Headshot accuracy16.9%−1.4%
first ⅓ avg 18.3% → last ⅓ avg 16.9%

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

0.19Best match rating · 13–5 · inferno, 10 Jul →
37%Best headshot accuracy · 13–10 · boulder, 12 Jul →
352msFastest reaction time · 4–13 · ancient, 9 Oct →
13–1Biggest win · inferno, 19 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 64% over 22mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2214–864%0.02
anubisC218–1338%0.03
ancientA1810–856%0.01
cacheA148–657%0.02
nukeC83–538%0.00
mirageD72–529%0.02
dust2C73–443%0.02
overpass—20–20%0.02
boulder—11–0100%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches
65%Win rate
1.30Avg K/D
82.0ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2458%1.3917.5
Inferno1867%1.2014.5
Ancient1567%1.4115.7
Dust21385%1.5216.8
Nuke771%1.9019.7
Anubis771%1.5516.3
Overpass771%1.1013.1
Cache580%1.1613.0

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.

17.2%Headshot accuracy
37.2%Accuracy (enemy spotted)
35.9%Spray accuracy
79.5%Counter-strafing
8.8°Preaim
536msReaction time
42.9%T opening success
48.6%CT opening success
0.55Enemies flashed / flash
3.7%Flash assists
8.54HE damage / grenade
13.77Flashes / match

Recommended for you

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–00.0227%9 Oct →
ancient4–13-0.066%9 Oct →
inferno13–30.0611%9 Oct →
cache7–130.0116%5 Oct →
dust211–130.0418%2 Oct →
dust213–80.0518%2 Oct →
anubis5–13-0.0718%23 Sept →
ancient7–13-0.0220%22 Sept →
mirage3–70.076%19 Sept →
anubis0–3-0.080%19 Sept →
inferno13–60.0214%19 Sept →
anubis13–60.0815%14 Sept →
nuke7–130.0721%11 Sept →
inferno11–130.0625%11 Sept →
mirage13–50.0320%11 Sept →
cache9–130.0021%11 Sept →
inferno16–130.0515%7 Sept →
cache13–8-0.0219%4 Sept →
inferno10–13-0.0515%4 Sept →
inferno7–130.0216%3 Sept →
anubis10–130.0312%2 Sept →
inferno13–4-0.0017%2 Sept →
ancient13–110.0428%31 Aug →
ancient16–140.0423%30 Aug →
anubis13–60.1215%29 Aug →
ancient13–11-0.018%29 Aug →
anubis13–9-0.0121%21 Aug →
inferno13–16-0.0214%19 Aug →
inferno13–10.0218%19 Aug →
anubis10–130.0119%17 Aug →
dust213–5-0.0127%14 Aug →
inferno13–100.0420%13 Aug →
anubis13–60.1211%12 Aug →
cache13–110.0525%7 Aug →
dust213–90.0731%7 Aug →
nuke10–130.0019%6 Aug →
inferno13–90.026%5 Aug →
anubis13–80.0617%1 Aug →
nuke10–13-0.009%1 Aug →
cache13–90.0619%1 Aug →
ancient15–150.0820%31 Jul →
anubis10–130.0319%31 Jul →
anubis13–160.0514%27 Jul →
ancient13–4-0.0112%27 Jul →
anubis11–130.0327%22 Jul →
inferno5–13-0.0115%22 Jul →
inferno13–6-0.0218%19 Jul →
ancient13–100.0514%18 Jul →
dust22–13-0.0931%18 Jul →
nuke10–13-0.0417%18 Jul →
nuke16–140.0012%18 Jul →
anubis13–90.0616%18 Jul →
ancient11–13-0.0219%18 Jul →
cache13–60.0321%18 Jul →
nuke0–9-0.0830%18 Jul →
inferno5–13-0.0218%17 Jul →
anubis2–13-0.1113%17 Jul →
ancient13–90.0423%17 Jul →
inferno13–30.0923%17 Jul →
ancient13–110.0723%16 Jul →
inferno9–130.0114%16 Jul →
cache5–13-0.0519%13 Jul →
nuke13–100.0412%13 Jul →
boulder13–100.1337%12 Jul →
cache13–80.019%11 Jul →
anubis3–120.0719%10 Jul →
cache13–40.0814%10 Jul →
anubis13–80.0219%10 Jul →
inferno13–50.1918%10 Jul →
anubis3–130.0422%9 Jul →
cache13–70.0915%9 Jul →
mirage10–13-0.0318%9 Jul →
cache13–110.0813%9 Jul →
cache4–13-0.0920%9 Jul →
ancient5–13-0.0916%9 Jul →
inferno13–60.0220%9 Jul →
overpass11–130.0319%5 Jul →
ancient13–60.0016%5 Jul →
ancient10–130.0120%4 Jul →
anubis16–120.0516%4 Jul →
inferno13–11-0.0419%26 Jun →
mirage7–130.0612%26 Jun →
ancient7–130.0523%26 Jun →
inferno13–90.0221%15 Jun →
anubis4–130.0017%15 Jun →
cache8–13-0.0211%7 Jun →
ancient15–15-0.0615%5 Jun →
mirage9–130.0432%5 Jun →
anubis10–130.0219%2 Jun →
inferno6–130.0113%29 May →
anubis5–130.0427%29 May →
dust210–130.0434%29 May →
ancient16–140.0627%29 May →
ancient13–100.0017%29 May →
dust28–130.0621%26 May →
overpass9–130.0015%25 May →
mirage4–13-0.0215%25 May →
nuke13–100.0411%24 May →
inferno13–60.0510%24 May →
cache8–13-0.0313%23 May →

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 →

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