Aspland

Aspland — CS2 Stats

GB76561198024334706[U:1:64068978]Steam profile ↗✓ No bans

2,176Tracked matches53%Win rate2020Tracked since
5,738Hours in CS3Hrs last 2 wks
CSDB Rating7.2 StrongSupport
FaceitLevel 10 · 2,384 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 21 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,384 → 2,384
+45Tracked matches · now 2,176
0.0ppWin rate · 53.3% → 53.3%

Rating over time

2,384Highest Faceit ELO seen on CSDB
44Days played since 2026-06-21

Faceit ELO

  • At peak — 2,384
  • Next: 2,500 ELO at 2,500 — 116 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-21
  • Level 9 first seen 2026-09-21

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate46.8%50.9%
Shot accuracy14.9%13.7%
Kill/death ratio1.031.09
Match win rate47.2%48.4%

Share this profile

CSDB.GGAsplandFACEITLevel 10 · 2,384 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,384csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim88
Positioning65
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLLLWWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.1pp headshot accuracy · +27ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 500ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 527ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 513ms

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 (+1.4 against its own average).

Aim8.8
Utility6.7
Positioning6.5
Opening Duels5.1
Clutch3.0

Sharp aimerStrong CT-side opener

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8
Positioning6.5
Utility6.7
Mechanics7.6
Opening Duels4.8
Win Impact6.1

Composite 7.2/10 (Strong), 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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time516ms−93ms
first ⅓ avg 609ms → last ⅓ avg 516ms
Headshot accuracy20.8%+2.0%
first ⅓ avg 18.8% → last ⅓ avg 20.8%

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

0.27Best match rating · 9–1 · poseidon, 24 Jul →
40%Best headshot accuracy · 9–13 · cache, 21 Oct →
406msFastest reaction time · 9–13 · cache, 21 Oct →
13–1Biggest win · cache, 2 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
7–13In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 86% over 7anubisWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
anubisC249–1538%0.01
cacheS2416–867%0.02
infernoB199–1047%0.00
ancientS1510–567%0.02
nukeS76–186%0.01
mirage—31–233%-0.04
overpass—32–167%0.05
vertigo—20–20%-0.05
poseidon—11–0100%0.27
office—10–10%-0.00
dust2—10–10%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

189,042Lifetime kills
1.03K/D
7,240Matches
47.2%Match win rate
46.8%Headshot %
14.9%Shot accuracy · Top 50% of Level 10 players
18,847MVPs
4,126Hours (in match)
8,287Bombs planted
2,973Bombs defused

Most-used weapons

AK-4775,466
AWP12,621
P2505,057
FAMAS4,067
Knife3,971

Lifetime map wins

15,273inferno
6,602nuke
6,288dust2
5,213train
5,191cbble
1,613vertigo
108office
45safehouse

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

Faceit stats

Combat

2,483Matches
51%Win rate
1.08Avg K/D
77.3ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient13548%1.0315.7
Inferno12554%1.1116.1
Anubis11853%1.0115.4
Nuke8052%1.0715.8
Overpass6166%1.2017.2
Cache4652%1.1715.0
Train1856%1.0815.4
Dust21233%0.8812.3

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.

21.5%Headshot accuracy
39.3%Accuracy (enemy spotted)
38.5%Spray accuracy
84.3%Counter-strafing
8.8°Preaim
515msReaction time
37.2%T opening success
60.9%CT opening success
0.58Enemies flashed / flash
7.3%Flash assists
8.37HE damage / grenade
13.59Flashes / 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 37.1961% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0425%3 Nov →
mirage7–13-0.0339%3 Nov →
inferno2–13-0.0618%1 Nov →
anubis13–90.0417%1 Nov →
ancient13–40.0716%1 Nov →
anubis13–40.1527%26 Oct →
cache13–40.1324%23 Oct →
nuke13–10-0.0315%21 Oct →
anubis6–13-0.0417%21 Oct →
inferno13–8-0.0120%21 Oct →
cache9–130.0040%21 Oct →
ancient11–130.0519%21 Oct →
anubis13–11-0.0520%16 Oct →
cache13–50.0321%16 Oct →
ancient13–8-0.0217%16 Oct →
inferno16–13-0.0035%16 Oct →
cache13–110.0119%16 Oct →
inferno2–130.0210%27 Sept →
anubis5–13-0.0123%26 Sept →
inferno9–130.0519%23 Sept →
anubis8–13-0.0117%23 Sept →
anubis5–13-0.0116%22 Sept →
anubis7–130.0216%22 Sept →
ancient13–60.0215%18 Sept →
cache3–13-0.0131%18 Sept →
cache11–13-0.0230%18 Sept →
ancient13–9-0.0211%18 Sept →
anubis16–130.0215%13 Sept →
cache13–5-0.0217%13 Sept →
inferno13–80.0631%6 Sept →
mirage7–13-0.0614%6 Sept →
nuke13–80.0513%5 Sept →
nuke13–50.0820%5 Sept →
cache13–100.0815%5 Sept →
cache13–70.1115%5 Sept →
cache13–10.0829%2 Sept →
ancient13–80.0613%30 Aug →
cache14–16-0.0022%30 Aug →
anubis10–130.0320%30 Aug →
nuke16–130.0615%30 Aug →
anubis13–8-0.0217%28 Aug →
cache13–90.0420%28 Aug →
cache11–13-0.0421%26 Aug →
anubis14–160.0618%23 Aug →
cache10–13-0.0123%23 Aug →
anubis5–13-0.0124%22 Aug →
anubis8–13-0.0121%18 Aug →
nuke13–10.0320%18 Aug →
cache13–11-0.0124%15 Aug →
anubis9–13-0.0413%15 Aug →
cache10–13-0.0310%9 Aug →
cache11–130.0322%7 Aug →
inferno11–130.0324%26 Jul →
anubis7–130.0219%26 Jul →
vertigo4–9-0.1113%24 Jul →
poseidon9–10.2722%24 Jul →
nuke9–6-0.0420%24 Jul →
inferno3–9-0.1031%24 Jul →
anubis8–13-0.0116%23 Jul →
inferno13–60.0625%22 Jul →
nuke6–13-0.0713%22 Jul →
anubis9–13-0.0326%21 Jul →
inferno13–100.0235%21 Jul →
ancient11–130.0322%20 Jul →
ancient13–11-0.0216%20 Jul →
anubis13–50.0920%16 Jul →
inferno13–160.0223%16 Jul →
inferno11–13-0.0322%15 Jul →
cache13–10.0118%10 Jul →
ancient13–20.0719%10 Jul →
inferno3–13-0.0720%10 Jul →
cache13–40.0411%8 Jul →
anubis13–100.0122%8 Jul →
office12–12-0.0025%8 Jul →
anubis13–100.0318%6 Jul →
ancient8–130.0725%5 Jul →
ancient7–13-0.0326%5 Jul →
ancient19–150.0213%3 Jul →
cache13–90.0616%2 Jul →
inferno7–2-0.0440%2 Jul →
inferno9–60.0122%2 Jul →
inferno13–110.0618%1 Jul →
overpass13–40.0422%1 Jul →
overpass13–90.0626%29 Jun →
mirage13–7-0.0312%29 Jun →
inferno11–13-0.0530%29 Jun →
ancient16–14-0.028%28 Jun →
overpass14–160.0525%28 Jun →
anubis6–13-0.0413%28 Jun →
vertigo7–90.0023%25 Jun →
cache13–8-0.0218%25 Jun →
cache13–11-0.0216%25 Jun →
anubis14–16-0.019%24 Jun →
cache13–6-0.0316%24 Jun →
anubis13–90.0210%24 Jun →
inferno13–7-0.018%21 Jun →
ancient13–20.0910%21 Jun →
cache13–9-0.0121%21 Jun →
dust29–130.0027%21 Jun →
ancient19–220.0113%21 Jun →

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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