angelj93

angelj93 — CS2 Stats

US76561198051438679[U:1:91172951]Steam profile ↗

722Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 Solid
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGangelj93FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateLWLWWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim5.6
Aggression4.6
Utility5.2
Positioning5.6
Opening Duels1.4
Clutch5.4

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 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 →

Strengths & areas to improve

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 786ms 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

Aim5.6
Positioning5.6
Utility5.2
Mechanics9.1
Opening Duels1.4
Win Impact5.0

Composite 5.6/10 (Solid), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time777ms+29ms
first ⅓ avg 748ms → last ⅓ avg 777ms
Headshot accuracy19.8%−2.8%
first ⅓ avg 22.6% → last ⅓ avg 19.8%

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

0.08Best rating — dust2 13–9
131Biggest win — dust2
5Longest win streak
66In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 64% over 14anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C1971237%-0.02
cacheA149564%-0.03
ancientC125742%-0.01
mirageB115645%-0.02
nukeC94544%-0.02
anubisD82625%-0.02
infernoD82625%-0.04
train41325%-0.05
vertigo43175%-0.02
overpass32167%0.02
fachwerk2020%0.04
warden220100%0.06
alpine21150%0.00
office110100%-0.01
stronghold110100%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,194Matches
48%Win rate
1.01Avg K/D
70.4ADR
41%Headshot %

Clutches & streaks

47%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1331%0.7412.2
Inferno367%1.0715.3
Ancient2100%1.1627.5
Nuke2100%1.2414.0

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.

20.2%Headshot accuracy
34.9%Accuracy (enemy spotted)
34.8%Spray accuracy
91.1%Counter-strafing
11.4°Preaim
786msReaction time
32.6%T opening success
38.4%CT opening success
0.76Enemies flashed / flash
8.1%Flash assists
5.12HE damage / grenade
10.18Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 785.9485ms — above the 700ms 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 32.6415% — below the 40% mark we flag

Spend your practice time on Anubis

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 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0518%28 Aug
cache13–8-0.0717%27 Aug
ancient11–130.0210%25 Aug
dust213–70.0229%2 Aug
nuke13–8-0.0020%2 Aug
ancient16–14-0.0018%1 Aug
cache13–9-0.0219%1 Aug
ancient13–10-0.0019%1 Aug
fachwerk8–130.0533%1 Aug
ancient13–16-0.0826%31 Jul
mirage10–40.0116%31 Jul
anubis4–13-0.0428%31 Jul
dust210–13-0.037%27 Jul
cache13–8-0.0226%18 Jul
ancient13–160.0027%18 Jul
fachwerk10–130.0312%18 Jul
nuke13–90.0016%1 Jul
mirage7–13-0.0716%30 Jun
cache10–13-0.0826%30 Jun
mirage13–110.0625%21 Jun
mirage3–13-0.1013%21 Jun
cache13–9-0.0415%21 Jun
dust213–9-0.0428%21 Jun
cache13–11-0.0115%20 Jun
train6–13-0.0423%20 Jun
dust211–130.0428%19 Jun
inferno12–12-0.0518%19 Jun
ancient12–120.0720%10 Jun
overpass13–90.0413%9 Jun
cache4–130.0521%9 Jun
cache6–130.0117%9 Jun
mirage13–7-0.0423%9 Jun
vertigo13–9-0.058%4 Jun
dust210–13-0.025%4 Jun
ancient9–13-0.0117%29 May
anubis7–13-0.0825%29 May
cache13–7-0.0913%29 May
nuke10–13-0.0229%29 May
cache11–13-0.0222%21 May
inferno13–9-0.0424%21 May
cache3–13-0.0524%20 May
ancient13–40.0521%18 May
warden13–90.0630%13 May
cache13–9-0.0238%8 May
mirage4–13-0.0123%2 May
inferno4–13-0.0221%2 May
dust213–90.0816%2 May
cache13–5-0.1022%1 May
nuke2–13-0.0814%1 May
inferno13–11-0.017%30 Apr
cache13–6-0.0329%30 Apr
dust28–13-0.0532%30 Apr
anubis11–13-0.0325%27 Apr
ancient4–13-0.0623%27 Apr
dust210–13-0.0211%23 Apr
inferno9–13-0.096%17 Apr
dust213–11-0.0424%17 Apr
nuke13–5-0.0117%16 Apr
inferno9–130.0417%11 Apr
train8–13-0.0716%11 Apr
vertigo13–9-0.0824%10 Apr
alpine13–90.0440%10 Apr
anubis13–30.0113%9 Apr
nuke12–120.0216%5 Apr
mirage7–13-0.0618%5 Apr
mirage7–130.0025%27 Mar
dust25–13-0.0226%26 Mar
dust28–13-0.0429%19 Mar
office13–10-0.0113%18 Mar
overpass13–50.0119%12 Mar
anubis8–13-0.0219%12 Mar
dust26–130.0024%11 Mar
overpass11–130.0225%11 Mar
dust212–120.0034%11 Mar
warden13–50.0518%22 Feb
ancient13–4-0.0243%21 Feb
ancient13–8-0.0323%10 Feb
anubis7–130.0140%2 Feb
dust213–8-0.0317%1 Feb
mirage13–100.0117%1 Feb
anubis13–3-0.0344%1 Feb
dust213–9-0.0431%1 Feb
alpine7–13-0.0426%1 Feb
anubis11–13-0.0128%30 Jan
dust213–1-0.0417%30 Jan
stronghold13–10-0.0518%23 Jan
dust210–13-0.1014%14 Jan
mirage13–7-0.0312%14 Jan
nuke5–13-0.0414%14 Jan
train10–13-0.0522%3 Jan
dust210–13-0.0016%3 Jan
train13–3-0.0221%20 Dec
vertigo9–130.0117%20 Dec
vertigo13–100.0323%8 Dec
nuke13–110.0213%5 Dec
inferno4–13-0.1224%5 Dec
dust27–13-0.0636%30 Oct
ancient4–13-0.0912%30 Oct
inferno12–12-0.0022%25 Oct
mirage10–130.0214%16 Oct

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 →