Angel

Angel — CS2 Stats

AU76561197999722132[U:1:39456404]Steam profile ↗✓ No bans

609Tracked matches59%Win rate2020Tracked since
1,675Hours in CS
CSDB Rating7.1 StrongAll-Rounder
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,864 +2,256 6 Jun – 22 Sept · 29 days played
15,60019,915peak 19,9156 Jun22 Sept
19,999Peak Premier in tracked matches
50Days played since 2026-06-06

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

Performance scores

Aim88
Positioning59
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLLLWLLWTWW

Last 10 vs previous 10: −20pp win rate · −0.07 avg rating · −0.2pp headshot accuracy · −73ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 525ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 528ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 565ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.8
Utility5.8
Positioning5.9
Opening Duels4.1

Sharp aimerStrong 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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 574ms 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

Aim8.8
Positioning5.9
Utility5.8
Mechanics7.5
Opening Duels4.4
Win Impact8.1

Composite 7.1/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time594ms−17ms
first ⅓ avg 612ms → last ⅓ avg 594ms
Headshot accuracy22.1%−2.2%
first ⅓ avg 24.3% → last ⅓ avg 22.1%

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

0.17Best match rating · 13–4 · cache, 26 Aug →
39%Best headshot accuracy · 9–13 · mirage, 3 Sept →
430msFastest reaction time · 9–13 · mirage, 3 Sept →
13–1Biggest win · dust2, 10 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
9–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 100% over 6mirageWeakest map · 36% over 25
MapGradePlayedRecordWin rateAvg rating
dust2C3013–1743%0.03
mirageC259–1636%0.02
cacheA1912–763%0.04
anubisA74–357%0.04
infernoS66–0100%0.02
nukeC52–340%-0.01
overpass—33–0100%0.04
ancient—20–20%-0.00
train—21–150%0.06
vertigo—11–0100%0.15

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,098Lifetime kills
1.20K/D · Top 25% of tracked players
4,330Matches
45.4%Match win rate · Top 50% of tracked players
39.7%Headshot %
17.7%Shot accuracy · Top 25% of tracked players
10,430MVPs
1,675Hours (in match)
3,775Bombs planted
1,395Bombs defused

Most-used weapons

AK-4719,626
AWP13,172
SSG 087,552
Knife2,822
Tec-92,547

Lifetime map wins

22,154dust2
1,810inferno
966nuke
239train
184vertigo
151cbble
113office
50lake

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

Faceit stats

Combat

5Matches
40%Win rate
0.76Avg K/D
—ADR
43%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

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.

22.3%Headshot accuracy
41.5%Accuracy (enemy spotted)
44.2%Spray accuracy
83.8%Counter-strafing
10.3°Preaim
574msReaction time
40.3%T opening success
55.1%CT opening success
0.67Enemies flashed / flash
11.5%Flash assists
4.76HE damage / grenade
10.69Flashes / 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.

36% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0612%15 Oct →
cache10–130.0520%22 Sept →
dust210–13-0.0720%14 Sept →
mirage13–100.0520%6 Sept →
mirage9–130.0239%3 Sept →
dust25–13-0.0831%1 Sept →
cache13–90.0024%1 Sept →
ancient15–15-0.0122%31 Aug →
dust213–20.0627%31 Aug →
dust213–20.0522%31 Aug →
dust26–130.0428%28 Aug →
cache13–110.0922%28 Aug →
inferno13–9-0.0135%27 Aug →
vertigo13–70.1522%26 Aug →
cache13–40.1724%26 Aug →
mirage5–130.0519%25 Aug →
dust215–150.0225%24 Aug →
mirage8–10.0925%23 Aug →
nuke13–110.0110%15 Aug →
mirage13–160.0929%15 Aug →
inferno9–7-0.0818%15 Aug →
mirage16–140.0221%14 Aug →
cache13–80.0235%14 Aug →
dust213–10-0.0020%14 Aug →
mirage13–80.0521%9 Aug →
dust215–150.0716%8 Aug →
mirage11–13-0.0215%8 Aug →
mirage13–110.0820%3 Aug →
mirage2–130.0220%3 Aug →
mirage10–13-0.0511%2 Aug →
cache13–80.0127%2 Aug →
cache8–130.0115%2 Aug →
nuke10–130.0117%1 Aug →
dust213–50.1019%1 Aug →
cache13–40.0324%1 Aug →
mirage13–70.0611%1 Aug →
anubis7–13-0.0020%1 Aug →
dust211–130.1024%1 Aug →
overpass13–50.0434%31 Jul →
mirage6–13-0.0113%30 Jul →
dust211–130.0618%30 Jul →
cache3–13-0.0415%30 Jul →
dust213–100.0425%30 Jul →
dust210–130.0126%27 Jul →
dust26–130.0724%27 Jul →
cache13–80.0418%27 Jul →
ancient10–130.0117%27 Jul →
mirage5–130.0219%25 Jul →
cache13–80.0627%24 Jul →
anubis13–20.1435%24 Jul →
cache13–90.1431%24 Jul →
mirage13–110.0628%23 Jul →
cache8–1-0.0131%22 Jul →
mirage8–13-0.0315%22 Jul →
dust213–50.0728%22 Jul →
inferno13–100.1126%22 Jul →
anubis13–80.0819%20 Jul →
dust213–20.1624%20 Jul →
dust216–130.0825%19 Jul →
dust26–130.0116%19 Jul →
dust27–13-0.0333%18 Jul →
mirage7–13-0.0210%17 Jul →
dust29–130.0135%14 Jul →
cache15–150.0713%13 Jul →
mirage11–13-0.0322%13 Jul →
dust213–110.0120%12 Jul →
dust211–130.0023%11 Jul →
dust213–100.1025%10 Jul →
mirage7–13-0.0023%10 Jul →
dust213–10.0131%10 Jul →
cache13–50.1129%9 Jul →
anubis10–13-0.0418%9 Jul →
mirage13–70.1416%9 Jul →
cache8–13-0.0024%9 Jul →
overpass13–60.0114%7 Jul →
inferno13–20.1630%7 Jul →
cache8–130.0118%6 Jul →
mirage13–80.0522%6 Jul →
dust25–13-0.0119%6 Jul →
anubis13–10.0930%5 Jul →
dust212–120.0637%5 Jul →
overpass13–90.0715%3 Jul →
inferno11–6-0.0128%28 Jun →
train13–80.0712%26 Jun →
cache13–30.1038%26 Jun →
inferno9–1-0.027%26 Jun →
cache12–12-0.0218%25 Jun →
nuke7–13-0.0135%21 Jun →
anubis16–140.0419%21 Jun →
dust29–130.0434%21 Jun →
nuke9–13-0.0323%20 Jun →
train11–130.0520%13 Jun →
mirage6–13-0.0121%12 Jun →
anubis2–13-0.0526%12 Jun →
dust216–12-0.0215%12 Jun →
nuke13–10-0.0137%8 Jun →
dust213–11-0.0232%8 Jun →
mirage5–13-0.0335%6 Jun →
mirage3–13-0.0415%6 Jun →
dust22–11-0.0136%6 Jun →

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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