ApostoL

ApostoL — CS2 Stats

US76561199074175528[U:1:1113909800]Steam profile ↗✓ No bans

767Tracked matches71%Win rate2020Tracked since
2,797Hours in CS51Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating23,599Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#37424 of 261550 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,599 +4,643 1 Sept – 13 Nov · 28 days played
16,86623,709peak 23,7091 Sept13 Nov
24,053Peak Premier in tracked matches
26Days played since 2026-09-01

Premier CS Rating

  • 110 below peak (23,709)
  • +5,729 over 30 days · improving
  • Next: Red band at 25,000 — 1,401 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-11-10
  • Purple band first seen 2026-09-01

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 Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate57.1%48.2%50.9%above
Shot accuracy17.9%13.2%13.7%above
Kill/death ratio1.161.071.09above
Match win rate44.7%46.9%48.4%3.6% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGApostoLFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,599 · Pink bandcsdb.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

Aim74
Positioning66
Utility56

0–100 skill scores via Leetify.

Recent form

HOT61–35–4Last 10061%Win rateWWLWWWLWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +4.2pp headshot accuracy · −9ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 587ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 584ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 589ms

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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim7.4
Utility5.6
Positioning6.6
Opening Duels2.0
Clutch3.8

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 596ms 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

Aim7.4
Positioning6.6
Utility5.6
Mechanics5.5
Opening Duels4.4
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time591ms+4ms
first ⅓ avg 587ms → last ⅓ avg 591ms
Headshot accuracy24.4%+0.7%
first ⅓ avg 23.7% → last ⅓ avg 24.4%

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

0.30Best match rating · 9–4 · inferno, 15 Oct →
46%Best headshot accuracy · 9–13 · mirage, 15 Oct →
406msFastest reaction time · 13–10 · ancient, 4 Nov →
13–2Biggest win · mirage, 12 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
9–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 69% over 13infernoWeakest map · 56% over 18
MapGradePlayedRecordWin rateAvg rating
mirageS1913–668%-0.00
infernoA1810–856%0.02
cacheA1710–759%0.02
ancientA148–657%0.00
dust2S139–469%0.02
anubisA127–558%-0.01
nukeA74–357%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (56% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,731Lifetime kills
1.16K/D · Top 50% of Level 9 players
2,885Matches
44.7%Match win rate
57.1%Headshot % · Top 25% of Level 9 players
17.9%Shot accuracy · Top 25% of Level 9 players
6,940MVPs
1,132Hours (in match)
1,283Bombs planted
560Bombs defused

Most-used weapons

AK-4725,767
AWP7,560
MP91,987
MAC-101,789
FAMAS1,616

Lifetime map wins

5,258dust2
4,559inferno
1,606nuke
1,448vertigo
1,052train
63office
59cbble
56lake

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

Faceit stats

Combat

1,163Matches
52%Win rate
1.09Avg K/D
74.3ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%0.9214.3
Inferno888%1.0516.1
Dust2650%1.3414.8
Anubis667%0.9815.3
Ancient520%0.8313.8
Overpass367%0.7813.7
Nuke30%0.569.3
Vertigo1100%1.5722.0

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.

24.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
36.3%Spray accuracy
74.9%Counter-strafing
9.4°Preaim
596msReaction time
52.6%T opening success
42.9%CT opening success
0.56Enemies flashed / flash
4.8%Flash assists
7.32HE damage / grenade
9.73Flashes / match

Recent matches

MapScoreRatingHS%Date
nuke13–110.0523%13 Nov →
mirage13–10-0.0227%13 Nov →
dust211–13-0.0941%12 Nov →
mirage13–40.0527%12 Nov →
inferno13–9-0.0524%12 Nov →
mirage13–40.0432%12 Nov →
ancient5–13-0.0416%12 Nov →
inferno13–9-0.0533%12 Nov →
ancient13–7-0.0126%12 Nov →
ancient13–40.0441%12 Nov →
anubis13–50.0526%12 Nov →
mirage13–20.0730%12 Nov →
cache16–14-0.0212%11 Nov →
mirage13–100.0124%11 Nov →
anubis13–10-0.0116%11 Nov →
ancient11–13-0.0329%11 Nov →
dust213–100.0724%11 Nov →
anubis13–110.0020%11 Nov →
anubis3–13-0.1138%11 Nov →
inferno3–10-0.0131%11 Nov →
ancient13–20.0814%10 Nov →
ancient10–13-0.0138%10 Nov →
cache15–15-0.0118%10 Nov →
cache13–80.059%10 Nov →
mirage15–150.0524%10 Nov →
mirage10–13-0.0921%10 Nov →
cache13–40.0734%10 Nov →
mirage13–2-0.027%10 Nov →
mirage3–13-0.0716%10 Nov →
inferno13–90.1015%10 Nov →
dust213–100.0228%10 Nov →
mirage6–13-0.129%9 Nov →
ancient13–9-0.0133%9 Nov →
cache13–100.0624%9 Nov →
inferno11–13-0.0135%9 Nov →
mirage13–30.0814%9 Nov →
dust213–60.0217%9 Nov →
cache4–13-0.0112%9 Nov →
ancient9–13-0.0617%8 Nov →
ancient7–13-0.0424%8 Nov →
cache13–8-0.0223%6 Nov →
nuke11–13-0.0110%6 Nov →
cache11–130.0319%5 Nov →
ancient13–80.0133%5 Nov →
anubis16–130.0021%5 Nov →
dust213–6-0.0628%4 Nov →
cache13–40.0627%4 Nov →
inferno5–13-0.0419%4 Nov →
ancient13–100.0725%4 Nov →
ancient13–100.0430%3 Nov →
cache3–0-0.030%3 Nov →
cache13–11-0.0520%3 Nov →
dust213–60.0623%3 Nov →
cache13–70.1518%2 Nov →
anubis7–130.0029%1 Nov →
dust213–80.0615%1 Nov →
cache11–13-0.0435%30 Oct →
anubis11–130.0120%30 Oct →
ancient13–110.0121%30 Oct →
cache8–130.0143%29 Oct →
anubis13–90.0217%29 Oct →
cache9–130.0626%29 Oct →
mirage13–110.0416%29 Oct →
mirage13–70.0024%29 Oct →
cache13–100.1122%28 Oct →
inferno13–9-0.0219%28 Oct →
dust25–13-0.0621%28 Oct →
nuke13–50.0324%28 Oct →
nuke9–60.0422%28 Oct →
inferno10–130.0317%27 Oct →
nuke13–100.0625%27 Oct →
anubis13–90.0217%26 Oct →
mirage13–5-0.0022%25 Oct →
inferno13–8-0.0132%23 Oct →
cache7–13-0.0230%20 Oct →
dust213–110.0221%20 Oct →
anubis13–40.0120%20 Oct →
nuke0–3-0.100%20 Oct →
mirage15–15-0.0118%19 Oct →
dust213–160.0426%19 Oct →
inferno3–9-0.1433%16 Oct →
inferno9–50.0722%16 Oct →
inferno2–9-0.0927%16 Oct →
mirage13–100.0319%15 Oct →
inferno9–40.0833%15 Oct →
inferno9–40.3015%15 Oct →
mirage9–130.0046%15 Oct →
anubis1–13-0.0339%15 Oct →
ancient11–13-0.0122%15 Oct →
inferno9–20.0827%15 Oct →
mirage13–7-0.0324%14 Oct →
dust213–110.0723%14 Oct →
dust29–130.0112%14 Oct →
inferno7–13-0.0425%14 Oct →
inferno11–130.0628%14 Oct →
mirage13–11-0.0520%14 Oct →
inferno9–60.1613%14 Oct →
dust213–100.0925%13 Oct →
anubis9–13-0.0324%13 Oct →
nuke15–15-0.0031%12 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 →

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