AapoS

AapoS — CS2 Stats

76561198874679134[U:1:914413406]Steam profile ↗✓ No bans

700Tracked matches31%Win rate2020Tracked since
1,120Hours in CS
CSDB Rating3.4 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate48.7%42.7%44.0%above
Shot accuracy12.6%10.8%11.6%above
Kill/death ratio1.011.001.03meets
Match win rate48.7%44.1%45.1%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

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

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Performance scores

Aim44
Positioning41
Utility45

0–100 skill scores via Leetify.

Recent form

COLD43552Last 10043%Win rateLLWLLLLWLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim4.4
Aggression3.3
Utility4.5
Positioning4.1
Opening Duels0.0
Clutch2.6

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 72% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.4
Positioning4.1
Utility4.5
Mechanics4.0
Opening Duels0.3
Win Impact0.0

Composite 3.4/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time608ms−36ms
first ⅓ avg 645ms → last ⅓ avg 608ms
Headshot accuracy25.8%+0.9%
first ⅓ avg 24.9% → last ⅓ avg 25.8%

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

0.20Best rating — nuke 13–1
131Biggest win — nuke
5Longest win streak
L2Current streak
46In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 64% over 11dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB22111150%0.01
infernoC1871139%-0.02
dust2D1751229%-0.01
ancientC114736%-0.04
nukeA117464%0.02
anubisD93633%-0.02
overpass41325%-0.07
agency43175%-0.02
train32167%-0.01
office1010%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,855Lifetime kills
1.01K/D · Top 50% of Level 4 players
2,905Matches
48.7%Match win rate · Top 25% of Level 4 players
48.7%Headshot % · Top 25% of Level 4 players
12.6%Shot accuracy · Top 50% of Level 4 players
7,835MVPs
1,120Hours (in match)
2,548Bombs planted
862Bombs defused

Most-used weapons

AK-4713,752
AWP5,600
SG 5531,332
MP91,280
FAMAS1,066

Lifetime map wins

5,690inferno
4,518nuke
2,203vertigo
2,041dust2
960train
257lake
236cbble
81office

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

Faceit stats

Combat

54Matches
56%Win rate
1.12Avg K/D
75.3ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke633%0.9412.3
Inferno450%1.0013.5
Mirage333%0.9012.7
Vertigo250%1.2119.0
Anubis250%1.2617.0
Dust210%0.4810.0
Ancient1100%1.4423.0

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.

25.1%Headshot accuracy
24.9%Accuracy (enemy spotted)
27.5%Spray accuracy
68.1%Counter-strafing
10.2°Preaim
610msReaction time
25.0%T opening success
32.5%CT opening success
0.39Enemies flashed / flash
4.8%Flash assists
11.94HE damage / grenade
4.93Flashes / 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 0.3901 — 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 25.0028% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0323%14 Jul
dust23–13-0.0441%14 Jul
ancient13–8-0.0631%14 Jul
anubis7–13-0.0747%19 Apr
dust26–13-0.0826%19 Apr
inferno3–13-0.0327%19 Apr
mirage10–130.0227%19 Apr
anubis13–90.0329%12 Apr
ancient11–13-0.0222%12 Apr
overpass2–13-0.1118%12 Apr
mirage13–80.0427%8 Apr
inferno13–70.0633%7 Apr
inferno13–16-0.0530%6 Apr
overpass13–16-0.0120%6 Apr
nuke13–7-0.0224%5 Apr
dust21–13-0.0711%1 Apr
dust22–13-0.0541%1 Apr
dust213–7-0.0322%31 Mar
overpass13–4-0.0513%29 Mar
mirage7–130.0120%29 Mar
dust28–130.0426%29 Mar
ancient15–15-0.0114%29 Mar
inferno13–10-0.0526%29 Mar
office3–130.0031%11 Mar
dust24–13-0.0326%11 Mar
mirage3–13-0.0521%11 Mar
nuke9–13-0.0224%24 Feb
mirage5–130.0323%10 Feb
ancient13–7-0.0523%10 Feb
inferno9–13-0.0315%10 Feb
mirage13–16-0.0340%6 Feb
inferno13–6-0.0821%6 Feb
anubis13–8-0.0132%6 Feb
ancient9–13-0.0623%5 Feb
anubis9–13-0.0428%30 Jan
mirage13–20.0544%30 Jan
dust211–130.0046%30 Jan
nuke13–10.2025%30 Jan
mirage13–100.0124%30 Jan
mirage8–13-0.0230%29 Jan
anubis3–130.0015%29 Jan
anubis9–13-0.0527%29 Jan
dust211–13-0.0037%29 Jan
inferno9–130.0064%29 Jan
overpass6–13-0.1043%29 Jan
nuke3–130.0631%27 Jan
inferno6–13-0.0536%27 Jan
mirage13–90.0540%27 Jan
nuke4–13-0.0541%27 Jan
mirage9–13-0.0219%26 Jan
dust26–13-0.0424%26 Jan
anubis12–120.0235%25 Jan
dust25–130.0535%25 Jan
mirage9–130.0126%25 Jan
ancient13–4-0.0129%25 Jan
dust213–7-0.0326%22 Jan
inferno5–13-0.0828%22 Jan
mirage6–130.0037%22 Jan
dust213–40.0530%22 Jan
anubis10–13-0.0348%22 Jan
nuke7–130.0231%22 Jan
nuke13–11-0.0912%22 Jan
anubis13–11-0.0617%22 Jan
mirage13–20.0456%21 Jan
mirage13–60.0034%21 Jan
mirage13–90.0042%21 Jan
ancient6–13-0.0724%2 Jan
ancient9–13-0.0228%1 Jan
nuke13–50.0720%1 Jan
mirage8–13-0.0414%1 Jan
train13–100.0429%1 Jan
inferno13–100.0529%31 Dec
inferno14–16-0.0416%30 Dec
mirage4–130.0331%29 Dec
ancient13–16-0.0719%29 Dec
dust20–13-0.0757%29 Dec
ancient13–11-0.0021%29 Dec
dust211–130.0024%29 Dec
inferno13–16-0.0231%29 Dec
mirage13–40.0224%29 Dec
inferno13–90.0221%29 Dec
nuke13–70.0417%28 Dec
dust213–50.0119%28 Dec
inferno6–130.0226%15 Dec
agency13–20.0238%8 May
agency3–13-0.1015%8 May
agency13–4-0.0425%8 May
agency13–30.0329%8 May
mirage13–80.0320%26 Mar
train5–13-0.0425%26 Mar
mirage13–2-0.0330%26 Mar
inferno6–130.0213%26 Mar
nuke13–7-0.0113%25 Mar
inferno13–8-0.0714%25 Mar
mirage13–50.0132%25 Mar
nuke13–70.0246%25 Mar
inferno7–130.0113%25 Mar
train13–8-0.0429%23 Mar
dust213–80.0123%23 Mar
inferno16–14-0.0329%23 Mar

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 →