Andaroska ⛟♿

Andaroska ⛟♿ — CS2 Stats

DE76561198024584259[U:1:64318531]Steam profile ↗✓ No bans

529Tracked matches57%Win rate2025Tracked since
746Hours in CS4Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating12,073Blue band · top ~43.9% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (10 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 9 Oct 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,073 +3,501 10 Oct10 Sept · 8 days played
8,57212,206peak 12,20610 Oct10 Sept
12,206Peak Premier in tracked matches
33Days played since 2025-10-09

Premier CS Rating

  • 133 below peak (12,206)
  • Next: Purple band at 15,000 2,927 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=20,242), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate40.5%41.9%44.3%3.8% short
Shot accuracy3.8%9.6%11.8%8.1% short
Kill/death ratio1.080.981.03above
Match win rate48.8%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAndaroska ⛟♿PREMIER12,073 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning55
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateWLLWLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.1pp headshot accuracy · −8ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 660ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 604ms

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: SupportUtility contribution stands above the rest of this profile (+0.9 against its own average).

Aim5.1
Utility6.1
Positioning5.5
Opening Duels4.1

Effective flashes

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 604ms 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

Aim5.1
Positioning5.5
Utility6.1
Mechanics6.5
Opening Duels3.5
Win Impact7.4

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time613ms−43ms
first ⅓ avg 656ms → last ⅓ avg 613ms
Headshot accuracy16.4%−0.6%
first ⅓ avg 17.0% → last ⅓ avg 16.4%

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 · inferno, 10 Oct
45%Best headshot accuracy · 4–9 · inferno, 10 Sept
453msFastest reaction time · 13–3 · inferno, 20 Aug
13–1Biggest win · dust2, 30 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
56In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 67% over 9ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C43182542%-0.01
infernoA1710759%-0.01
ancientD91811%-0.01
mirageS96367%-0.02
nukeS64267%0.01
anubis42250%-0.01
cache31233%-0.02
office2020%-0.02
overpass2020%0.00
vertigo1010%-0.02
poseidon110100%-0.00
stronghold110100%-0.01
train110100%-0.02
palacio1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,367Lifetime kills
1.08K/D · Top 50% of Blue band
1,191Matches
48.8%Match win rate · Top 25% of Blue band
40.5%Headshot %
3.8%Shot accuracy
2,639MVPs
379Hours (in match)
1,119Bombs planted
171Bombs defused

Most-used weapons

Lifetime map wins

3,166dust2
2,101inferno
1,126nuke
362train
170vertigo
135office
123italy
78aztec

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.2%Headshot accuracy
29.7%Accuracy (enemy spotted)
30.8%Spray accuracy
79.1%Counter-strafing
9.9°Preaim
604msReaction time
37.8%T opening success
50.6%CT opening success
0.70Enemies flashed / flash
10.8%Flash assists
11.05HE damage / grenade
8.28Flashes / 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 37.772% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0120%10 Sept
inferno10–13-0.0415%10 Sept
dust25–13-0.0613%10 Sept
inferno9–30.0713%10 Sept
inferno4–9-0.0545%10 Sept
dust213–110.039%8 Sept
dust213–10-0.0621%8 Sept
dust210–13-0.0320%6 Sept
inferno13–10-0.0211%4 Sept
inferno13–8-0.025%4 Sept
dust216–13-0.0615%4 Sept
ancient5–13-0.0611%4 Sept
anubis5–13-0.079%4 Sept
dust213–10-0.0622%3 Sept
dust211–130.0217%2 Sept
dust213–10.0114%30 Aug
dust211–13-0.0415%30 Aug
vertigo10–13-0.0219%29 Aug
nuke16–14-0.0210%29 Aug
dust25–13-0.117%29 Aug
inferno13–7-0.0315%29 Aug
dust212–120.0212%29 Aug
dust212–120.1018%29 Aug
dust213–40.0323%29 Aug
dust213–40.0020%28 Aug
dust213–11-0.0517%28 Aug
dust21–13-0.026%27 Aug
dust23–13-0.0621%27 Aug
dust213–30.0918%27 Aug
mirage4–10-0.068%27 Aug
mirage13–40.0327%26 Aug
dust213–100.0615%26 Aug
ancient13–16-0.0230%21 Aug
dust213–9-0.0630%21 Aug
inferno13–3-0.0312%20 Aug
dust29–13-0.0116%20 Aug
mirage13–60.0216%20 Aug
cache4–11-0.0621%19 Aug
mirage15–15-0.107%19 Aug
nuke11–130.0315%18 Aug
dust213–90.0525%18 Aug
cache11–13-0.0417%18 Aug
ancient1–50.0423%18 Aug
dust23–13-0.0511%18 Aug
ancient9–130.0213%12 Aug
dust26–13-0.0428%12 Aug
office7–13-0.060%11 Aug
overpass8–130.0110%11 Aug
ancient9–13-0.0216%11 Aug
dust25–130.0019%10 Aug
dust24–13-0.0019%10 Aug
dust27–13-0.0535%10 Aug
anubis13–5-0.0415%8 Aug
cache13–20.0316%8 Aug
inferno13–50.0111%8 Aug
ancient10–13-0.0318%8 Aug
mirage1–7-0.0627%8 Aug
inferno11–13-0.0224%2 Aug
inferno13–110.0127%2 Aug
mirage13–3-0.0620%2 Aug
dust213–4-0.0520%2 Aug
dust213–9-0.0024%2 Aug
dust210–13-0.0721%24 Jul
inferno5–13-0.0820%22 Jul
dust23–120.0213%22 Jul
dust25–130.0324%10 Jul
dust213–40.0520%10 Jul
dust213–70.0428%9 Jul
dust27–13-0.0422%9 Jul
inferno13–11-0.0319%9 Jul
ancient5–13-0.0323%9 Jul
mirage13–60.0121%8 Jul
ancient9–13-0.0511%8 Jul
dust22–13-0.0211%8 Jul
inferno5–13-0.0424%8 Jul
poseidon9–3-0.0013%8 Jul
dust28–130.0026%6 Jul
inferno13–7-0.0221%6 Jul
mirage13–10-0.0632%6 Jul
stronghold13–10-0.0120%3 Jul
anubis13–90.1022%2 Jul
dust25–13-0.0818%2 Jul
nuke7–13-0.0214%2 Jul
train16–13-0.0214%9 Nov
inferno7–13-0.065%18 Oct
nuke13–6-0.009%18 Oct
anubis9–13-0.046%18 Oct
dust213–2-0.077%18 Oct
palacio8–13-0.0113%11 Oct
nuke13–70.0415%11 Oct
overpass10–13-0.0113%11 Oct
nuke13–60.0611%11 Oct
inferno15–150.0310%11 Oct
ancient13–100.1019%11 Oct
dust27–130.0514%10 Oct
dust210–130.0414%10 Oct
mirage13–50.0719%10 Oct
dust211–130.0211%10 Oct
inferno13–90.1225%10 Oct
office8–130.0233%9 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 →