aurora☔

aurora☔ — CS2 Stats

NO76561198033141686[U:1:72875958]Steam profile ↗✓ No bans

4,283Tracked matches40%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
FaceitLevel 10 · 2,028 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,028 → 2,028
+30Tracked matches · now 4,283
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Faceit ELO: 2,028 +0 3 Sept – 6 Oct · 3 observations
2,0282,028peak 2,0283 Sept6 Oct
2,028Highest Faceit ELO seen on CSDB
62Days played since 2026-01-05

Faceit ELO

  • At peak — 2,028
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 472 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGaurora☔FACEITLevel 10 · 2,028 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,028csdb.gg/stats

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Performance scores

Aim59
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLWLWLWLWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.9pp headshot accuracy · −37ms reaction

Win rate up 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 -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 529ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

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 (+1.5 against its own average).

Aim5.9
Utility5.5
Positioning4.6
Opening Duels1.5
Clutch4.2

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

iM

Plays most like iM 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

T-side openings. Opening success drops from 42% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim5.9
Positioning4.6
Utility5.5
Mechanics4.6
Opening Duels1.5
Win Impact1.7

Composite 4.5/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time569ms−23ms
first ⅓ avg 592ms → last ⅓ avg 569ms
Headshot accuracy19.8%+2.4%
first ⅓ avg 17.4% → 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.

Personal bests

0.09Best match rating · 13–9 · overpass, 5 Jan →
48%Best headshot accuracy · 8–13 · ancient, 13 Jul →
375msFastest reaction time · 10–13 · nuke, 5 Jan →
13–3Biggest win · nuke, 20 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 67% over 9nukeWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
ancientB2311–1248%-0.03
nukeC188–1044%-0.02
anubisA169–756%-0.04
mirageC167–944%-0.00
cacheS96–367%-0.02
overpassA85–363%-0.02
inferno—40–40%-0.09
vertigo—21–150%-0.02
dust2—20–20%-0.05
train—22–0100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9,794Matches
60%Win rate
0.83Avg K/D
72.3ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
35Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient84656%0.9014.2
Nuke42857%0.9214.0
Mirage42148%0.8613.7
Anubis42153%0.8613.7
Overpass22656%0.8813.8
Train15555%0.9014.3
Vertigo11856%0.9313.4
Dust211239%0.8413.8

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.

19.3%Headshot accuracy
31.6%Accuracy (enemy spotted)
35.2%Spray accuracy
70.5%Counter-strafing
10.5°Preaim
562msReaction time
16.7%T opening success
41.8%CT opening success
0.62Enemies flashed / flash
11.8%Flash assists
7.11HE damage / grenade
6.14Flashes / 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 16.6796% — 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.

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0227%24 Oct →
ancient13–4-0.0420%9 Oct →
anubis9–13-0.079%6 Oct →
mirage13–50.0911%22 Sept →
ancient3–13-0.067%21 Sept →
anubis13–9-0.0122%21 Sept →
mirage6–13-0.0121%21 Sept →
anubis13–10-0.0827%19 Sept →
ancient10–13-0.0610%12 Sept →
ancient13–11-0.0930%10 Sept →
ancient13–7-0.0318%10 Sept →
vertigo13–11-0.0417%6 Sept →
mirage5–13-0.0529%30 Aug →
nuke10–13-0.0816%30 Aug →
mirage7–130.0019%30 Aug →
inferno6–13-0.0711%30 Aug →
ancient3–13-0.0524%23 Aug →
mirage16–13-0.0318%21 Aug →
anubis6–13-0.0217%20 Aug →
anubis9–13-0.0825%20 Aug →
ancient13–100.0622%18 Aug →
cache11–13-0.0214%6 Aug →
vertigo5–130.0118%5 Aug →
cache11–13-0.0321%2 Aug →
nuke9–130.0429%2 Aug →
mirage13–9-0.0122%2 Aug →
nuke13–8-0.0411%29 Jul →
dust21–13-0.0521%29 Jul →
anubis8–130.0521%29 Jul →
cache13–8-0.0120%29 Jul →
cache13–10-0.0430%22 Jul →
ancient12–16-0.0222%19 Jul →
nuke12–16-0.0426%15 Jul →
cache13–110.0120%15 Jul →
ancient11–13-0.0222%15 Jul →
ancient8–13-0.0148%13 Jul →
overpass13–10-0.0115%4 Jul →
nuke13–6-0.0325%23 Jun →
nuke13–3-0.0335%20 Jun →
ancient16–12-0.0013%20 Jun →
nuke9–13-0.0317%14 Jun →
anubis5–13-0.068%13 Jun →
anubis13–10-0.1014%13 Jun →
ancient11–13-0.085%12 Jun →
anubis6–13-0.0717%12 Jun →
ancient13–30.0920%7 Jun →
mirage8–13-0.0127%14 May →
mirage6–13-0.0422%5 May →
cache13–6-0.0424%5 May →
overpass9–130.0116%4 May →
cache13–10-0.0118%29 Apr →
cache13–8-0.0419%29 Apr →
nuke9–130.0427%27 Apr →
inferno4–13-0.0521%27 Apr →
ancient16–14-0.0520%21 Apr →
ancient13–40.0111%21 Apr →
anubis13–10-0.0220%6 Apr →
dust23–13-0.0414%6 Apr →
overpass10–13-0.0618%6 Apr →
nuke13–100.0721%22 Mar →
nuke11–130.0313%22 Mar →
anubis13–11-0.0222%17 Mar →
mirage16–140.0416%17 Mar →
nuke5–9-0.119%10 Mar →
mirage16–120.0213%9 Mar →
inferno3–9-0.1227%6 Mar →
anubis13–10-0.0123%6 Mar →
ancient13–16-0.0813%4 Mar →
anubis13–6-0.0914%22 Feb →
anubis13–110.0116%22 Feb →
ancient13–60.0225%22 Feb →
inferno1–13-0.145%18 Feb →
overpass13–110.0015%18 Feb →
mirage16–140.0516%15 Feb →
anubis13–9-0.0322%13 Feb →
ancient10–13-0.0339%10 Feb →
anubis13–16-0.0218%9 Feb →
overpass13–9-0.0316%8 Feb →
nuke13–80.0219%7 Feb →
mirage11–130.0021%7 Feb →
nuke13–8-0.0215%6 Feb →
overpass10–13-0.1219%5 Feb →
overpass19–17-0.0317%3 Feb →
ancient13–90.0320%1 Feb →
nuke16–14-0.0220%1 Feb →
mirage4–13-0.107%1 Feb →
ancient9–13-0.0416%1 Feb →
nuke10–13-0.0115%1 Feb →
mirage14–160.0122%30 Jan →
ancient5–13-0.0915%30 Jan →
ancient13–8-0.0418%30 Jan →
nuke13–9-0.0119%24 Jan →
ancient8–13-0.0513%17 Jan →
mirage13–40.0010%14 Jan →
train16–12-0.026%11 Jan →
train13–30.0116%9 Jan →
nuke8–13-0.0823%7 Jan →
overpass13–90.0918%5 Jan →
mirage9–13-0.0120%5 Jan →
nuke10–13-0.0028%5 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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