Angel97

Angel97 — CS2 Stats

76561198134497461[U:1:174231733]Steam profile ↗✓ No bans

2,227Tracked matches54%Win rate2022Tracked since
CSDB Rating2.8 LearningPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 3,551 -981 25 Nov – 18 Jan · 9 days played
3,5514,532peak 4,53225 Nov18 Jan
4,532Peak Premier in tracked matches
45Days played since 2025-11-25

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

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CSDB.GGAngel97FACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim22
Positioning29
Utility11

0–100 skill scores via Leetify.

Recent form

HOT42–50–8Last 10042%Win rateLWWWWWLWLW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −3.4pp headshot accuracy · +17ms reaction

Win rate up 50pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 786ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 789ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 781ms

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 (+1.9 against its own average).

Aim2.2
Utility1.1
Positioning2.9
Opening Duels0.0
Clutch0.0

Strong CT-side openerLimited 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

jL

Plays most like jL 79% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Reaction time. 797ms 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

Aim2.2
Positioning2.9
Utility1.1
Mechanics5.1
Opening Duels0.0
Win Impact6.2

Composite 2.8/10 (Learning), 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-0.06−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.06
Reaction time796ms+46ms
first ⅓ avg 751ms → last ⅓ avg 796ms
Headshot accuracy18.6%+3.7%
first ⅓ avg 14.9% → last ⅓ avg 18.6%

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

0.12Best match rating · 13–9 · overpass, 3 Jan →
39%Best headshot accuracy · 8–13 · inferno, 27 Oct →
492msFastest reaction time · 13–8 · vertigo, 20 Dec →
13–2Biggest win · cache, 22 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheC187–1139%-0.07
infernoB157–847%-0.04
mirageC145–936%-0.04
dust2C145–936%-0.06
vertigoD103–730%-0.05
ancientD81–713%-0.05
trainS75–271%-0.06
nukeS54–180%-0.06
anubisA53–260%-0.01
overpass—42–250%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches
50%Win rate
0.61Avg K/D
53.8ADR
35%Headshot %

Clutches & streaks

17%1v1 clutch win
18%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1070%0.5910.1
Inferno1030%0.6612.2
Train475%0.6210.5
Anubis10%0.5212.0
Dust210%0.214.0

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.

18.4%Headshot accuracy
27.7%Accuracy (enemy spotted)
27.0%Spray accuracy
72.8%Counter-strafing
11.9°Preaim
797msReaction time
22.6%T opening success
29.2%CT opening success
0.39Enemies flashed / flash
3.7%Flash assists
0.99HE damage / grenade
0.81Flashes / 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 796.7119ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3853 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 22.6131% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–16-0.0114%11 Nov →
nuke13–5-0.077%11 Nov →
mirage13–11-0.0711%11 Nov →
nuke13–11-0.0615%9 Nov →
vertigo13–6-0.008%9 Nov →
train13–10-0.0517%8 Nov →
mirage10–13-0.0317%8 Nov →
anubis13–11-0.0133%7 Nov →
dust26–13-0.0424%7 Nov →
cache13–7-0.089%5 Nov →
nuke13–8-0.0614%4 Nov →
inferno9–13-0.0720%2 Nov →
cache4–13-0.0618%2 Nov →
cache8–13-0.0929%2 Nov →
cache9–13-0.0917%27 Oct →
inferno8–13-0.0839%27 Oct →
ancient4–13-0.0810%27 Oct →
dust23–13-0.0320%26 Oct →
cache12–12-0.0319%25 Oct →
cache8–2-0.004%25 Oct →
train4–13-0.0917%25 Oct →
train13–10-0.0326%24 Oct →
ancient13–8-0.0526%24 Oct →
dust25–13-0.0915%24 Oct →
dust213–3-0.0626%22 Oct →
cache13–2-0.0924%22 Oct →
cache12–12-0.0813%22 Oct →
mirage6–2-0.0417%22 Oct →
mirage9–13-0.1319%21 Oct →
cache13–6-0.0715%21 Oct →
dust213–11-0.0924%21 Oct →
dust25–13-0.0228%21 Oct →
cache13–6-0.0520%19 Oct →
dust24–13-0.068%19 Oct →
inferno13–5-0.0926%19 Oct →
anubis13–110.007%19 Oct →
ancient10–13-0.0416%18 Oct →
cache13–11-0.0716%18 Oct →
cache13–10-0.1024%18 Oct →
mirage12–120.0317%18 Oct →
vertigo13–11-0.0614%18 Oct →
train12–12-0.0514%17 Oct →
anubis13–8-0.0314%17 Oct →
overpass10–13-0.057%17 Oct →
inferno10–130.0012%16 Oct →
ancient5–13-0.0426%16 Oct →
overpass12–120.0311%15 Oct →
vertigo7–13-0.0716%15 Oct →
nuke13–40.0117%15 Oct →
inferno13–7-0.0811%14 Oct →
cache8–13-0.0739%12 Oct →
inferno9–13-0.0421%12 Oct →
cache2–13-0.0717%11 Oct →
mirage10–0-0.0611%8 Oct →
cache6–13-0.1121%7 Oct →
train13–11-0.0717%7 Oct →
vertigo4–13-0.1215%6 Oct →
train13–4-0.0624%6 Oct →
cache8–13-0.0528%5 Oct →
train13–5-0.059%5 Oct →
mirage5–13-0.0221%5 Oct →
inferno7–13-0.0120%4 Oct →
nuke7–13-0.110%3 Oct →
mirage7–13-0.0422%3 Oct →
mirage13–7-0.0331%2 Oct →
cache12–12-0.086%1 Oct →
mirage7–13-0.0813%1 Oct →
inferno13–9-0.0518%1 Oct →
cache11–13-0.0914%29 Sept →
ancient4–13-0.0916%29 Sept →
vertigo12–12-0.0826%29 Sept →
inferno11–13-0.0317%28 Sept →
anubis2–60.0817%19 Jan →
dust23–13-0.080%18 Jan →
inferno9–13-0.066%18 Jan →
dust213–7-0.0219%16 Jan →
ancient12–12-0.0125%12 Jan →
vertigo5–13-0.0418%12 Jan →
overpass13–5-0.018%11 Jan →
mirage2–13-0.0918%11 Jan →
vertigo7–13-0.0816%8 Jan →
ancient8–13-0.066%6 Jan →
dust213–90.0118%6 Jan →
mirage10–130.0115%6 Jan →
overpass13–90.1219%3 Jan →
inferno13–6-0.0215%28 Dec →
mirage9–13-0.0316%28 Dec →
inferno13–90.0217%28 Dec →
dust23–13-0.0510%22 Dec →
dust27–13-0.0414%22 Dec →
inferno13–9-0.0018%21 Dec →
mirage13–10-0.0112%20 Dec →
inferno5–13-0.0016%20 Dec →
anubis2–13-0.0819%20 Dec →
inferno13–10-0.0617%20 Dec →
vertigo7–13-0.0310%20 Dec →
vertigo13–8-0.0218%20 Dec →
vertigo11–13-0.0315%15 Dec →
dust24–13-0.124%15 Dec →
dust213–9-0.0917%25 Nov →

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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