ATA/Albedo

ATA/Albedo — CS2 Stats

76561198060800248[U:1:100534520]Steam profile ↗✓ No bans

1,249Tracked matches59%Win rate2023Tracked since
4,859Hours in CS1Hrs last 2 wks
CSDB Rating4.7 Developing
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate33.5%46.2%47.2%13.7% short
Shot accuracy13.5%12.5%12.3%above
Kill/death ratio1.131.061.07above
Match win rate44.0%45.9%46.3%2.3% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGATA/AlbedoFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50437Last 10050%Win rateWLLWWTLLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.0
Aggression5.5
Utility4.8
Positioning4.8
Opening Duels0.7
Clutch4.4

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 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning4.8
Utility4.8
Mechanics4.1
Opening Duels1.2
Win Impact7.9

Composite 4.7/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time610ms−73ms
first ⅓ avg 683ms → last ⅓ avg 610ms
Headshot accuracy15.1%−1.9%
first ⅓ avg 17.0% → last ⅓ avg 15.1%

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.

Highlights

0.14Best rating — inferno 13–3
132Biggest win — dust2
5Longest win streak
85In matches decided by ≤2 rounds
6Overtime games

Map breakdown

officeBest map · 80% over 5overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB22101245%-0.03
cacheC1871139%-0.01
anubisB158753%-0.01
dust2S107370%-0.02
mirageC104640%-0.03
nukeS75271%-0.03
overpassD62433%-0.04
officeS54180%0.03
ancient41325%-0.03
train21150%0.02
vertigo110100%0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,939Lifetime kills
1.13K/D · Top 50% of Level 7 players
3,184Matches
44.0%Match win rate
33.5%Headshot %
13.5%Shot accuracy · Top 50% of Level 7 players
5,921MVPs
1,111Hours (in match)
2,166Bombs planted
534Bombs defused

Most-used weapons

AK-4715,509
AWP8,586
P2501,345
FAMAS1,229
P901,144

Lifetime map wins

6,457inferno
2,588dust2
1,659nuke
1,071cbble
928vertigo
814train
646office
139italy

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

Faceit stats

Combat

126Matches
54%Win rate
1.00Avg K/D
75.2ADR
37%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis2665%1.1915.0
Mirage2157%0.9812.6
Inferno2050%0.8913.1
Ancient944%0.8512.6
Nuke786%1.1716.1
Dust2633%0.7612.7
Train580%1.5320.6
Vertigo475%1.2513.8

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.

15.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.3%Spray accuracy
68.5%Counter-strafing
9.4°Preaim
612msReaction time
26.2%T opening success
39.6%CT opening success
0.43Enemies flashed / flash
1.6%Flash assists
8.27HE damage / grenade
8.40Flashes / 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. 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 0.4297 — below the 0.5 mark we flag

    Grenade Lineups
  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 26.2031% — below the 40% mark we flag

Spend your practice time on Overpass

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0226%18 Aug
inferno11–13-0.0313%29 Jul
anubis6–13-0.1117%18 Jul
dust213–11-0.0420%18 Jul
cache13–10-0.0417%9 Jul
cache15–150.0516%9 Jul
cache11–13-0.0416%9 Jul
cache4–13-0.0323%9 Jul
cache13–5-0.0216%9 Jul
dust28–13-0.045%9 Jul
cache13–6-0.0315%9 Jul
cache9–13-0.025%8 Jul
office13–90.0219%8 Jul
mirage13–80.0013%6 Jul
anubis13–9-0.0318%6 Jul
inferno10–13-0.088%26 Jun
nuke8–13-0.0415%25 Jun
office13–100.0318%19 Jun
cache11–130.0522%19 Jun
dust213–2-0.0311%19 Jun
dust216–12-0.0311%16 Jun
anubis13–70.0112%16 Jun
inferno8–13-0.0022%8 Jun
nuke13–11-0.0120%7 Jun
mirage0–13-0.0815%6 Jun
office13–20.0524%22 May
inferno13–8-0.0115%22 May
cache13–30.005%22 May
mirage1–13-0.039%21 May
nuke13–4-0.0210%21 May
cache12–12-0.0218%15 May
inferno4–13-0.127%15 May
anubis13–90.0019%15 May
anubis9–13-0.0211%11 May
overpass13–9-0.0022%11 May
cache13–100.047%11 May
office13–90.0925%11 May
office3–13-0.023%5 May
anubis11–130.0416%5 May
inferno9–130.0415%5 May
cache12–120.0213%5 May
inferno12–12-0.0318%5 May
mirage15–15-0.0818%2 May
nuke13–11-0.0121%2 May
inferno13–30.1422%2 May
cache7–13-0.0115%1 May
cache10–13-0.0220%1 May
inferno8–13-0.034%1 May
cache9–13-0.0618%1 May
cache13–110.0116%1 May
cache3–13-0.0613%1 May
cache13–4-0.0320%1 May
dust29–130.0414%28 Apr
nuke13–6-0.1012%28 Apr
anubis13–10-0.0014%28 Apr
inferno8–13-0.0316%11 Apr
inferno6–13-0.1017%11 Apr
ancient13–6-0.0310%11 Apr
anubis13–90.0312%11 Apr
train13–90.0421%7 Apr
anubis13–50.019%7 Apr
inferno13–11-0.0314%7 Apr
anubis9–130.0411%7 Apr
dust25–13-0.059%6 Apr
inferno0–2-0.080%6 Apr
ancient9–13-0.0116%10 Mar
nuke5–13-0.0324%10 Mar
mirage1–13-0.0214%10 Mar
inferno16–14-0.0212%9 Feb
mirage13–9-0.0117%9 Feb
inferno13–6-0.1147%9 Feb
dust213–4-0.0415%4 Feb
ancient10–13-0.0813%4 Feb
anubis6–13-0.030%1 Feb
anubis13–6-0.0120%1 Feb
mirage8–13-0.0521%1 Feb
overpass13–7-0.037%1 Feb
ancient4–13-0.0217%1 Feb
nuke13–4-0.028%31 Jan
inferno3–13-0.1026%31 Jan
anubis8–13-0.0616%31 Jan
inferno13–8-0.0124%31 Jan
mirage13–50.0018%31 Jan
inferno13–11-0.0514%31 Jan
mirage4–13-0.0522%31 Jan
inferno13–2-0.0128%30 Jan
inferno13–3-0.0022%30 Jan
overpass5–13-0.0325%30 Jan
overpass1–13-0.0622%30 Jan
dust213–9-0.0120%30 Jan
mirage13–7-0.0319%30 Jan
anubis15–150.0017%29 Jan
anubis13–8-0.069%27 Jan
overpass15–15-0.0310%26 Jan
inferno7–13-0.0513%25 Jan
vertigo13–80.027%29 Dec
dust213–110.0322%29 Dec
overpass3–13-0.105%16 Dec
inferno13–3-0.0015%16 Dec
train9–13-0.0117%16 Dec

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 →