Apoll0

Apoll0 — CS2 Stats

PL76561198358038343[U:1:397772615]Steam profile ↗✓ No bans

1,066Tracked matches57%Win rate2020Tracked since
4,023Hours in CS16Hrs last 2 wks
CSDB Rating7.6 StrongSupport
Premier CS Rating19,894Top 50% of 200,982 CSDB-tracked playersPurple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#83007 of 247932 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (7 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.

Rating over time

Premier CS Rating: 19,894 -2,630 19 Jun – 25 Sept · 12 days played
19,50525,111peak 25,11119 Jun25 Sept
25,111Peak Premier in tracked matches
46Days played since 2026-05-27

Premier CS Rating

  • 5,217 below peak (25,111)
  • -4,020 over 90 days
  • Next: Pink band at 20,000 — 106 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches73——
Win rate64%——
K/D1.54——
Headshot %56%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,745), 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 8 medianLevel 9 medianvs Level 9
Headshot rate49.5%46.8%48.2%above
Shot accuracy15.2%13.0%13.3%above
Kill/death ratio1.601.061.07above
Match win rate45.2%46.3%46.9%1.7% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGApoll0FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,894 · Purple 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

Aim86
Positioning70
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLWWWWWLLLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −0.2pp headshot accuracy · −2ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 494ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 525ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 526ms

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 (+1.6 against its own average).

Aim8.6
Utility7.6
Positioning7.0
Opening Duels6.2
Clutch3.2

Sharp aimerEffective flashesHigh utility contribution

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

device

Plays most like device 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 86 — the mechanical foundation is a clear strength.

Utility. Utility score of 76 — grenade impact well above the norm.

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

Aim8.6
Positioning7.0
Utility7.6
Mechanics7.0
Opening Duels7.0
Win Impact7.2

Composite 7.6/10 (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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time535ms−39ms
first ⅓ avg 574ms → last ⅓ avg 535ms
Headshot accuracy22.3%−2.8%
first ⅓ avg 25.0% → last ⅓ avg 22.3%

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

0.18Best match rating · 13–3 · inferno, 13 Sept →
47%Best headshot accuracy · 6–0 · dust2, 30 Jun →
391msFastest reaction time · 11–13 · mirage, 24 Aug →
13–2Biggest win · train, 27 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 64% over 11cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2915–1452%0.02
infernoB199–1047%0.03
nukeA117–464%0.05
ancientB105–550%0.02
anubisA85–363%0.03
cacheD72–529%0.04
dust2—42–250%0.05
overpass—41–325%-0.01
train—31–233%0.06
vertigo—31–233%0.08
office—20–20%0.01

Across the last 100 tracked matches.

Lifetime stats

203,736Lifetime kills
1.60K/D · Top 5% of Level 8 players
7,879Matches
45.2%Match win rate
49.5%Headshot % · Top 50% of Level 8 players
15.2%Shot accuracy · Top 50% of Level 8 players
23,574MVPs
2,407Hours (in match)
4,274Bombs planted
1,775Bombs defused

Most-used weapons

AK-4750,108
AWP24,124
Molotov20,331
SSG 086,477
SG 5533,343

Lifetime map wins

7,038inferno
3,998dust2
2,367nuke
2,188vertigo
756cbble
607train
454lake
342office

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

Faceit stats

Combat

76Matches
64%Win rate
1.39Avg K/D
94.1ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3459%1.4818.0
Ancient978%1.3120.1
Anubis989%1.6422.0
Nuke967%1.1418.1
Dust2850%1.4314.8
Vertigo450%0.9213.8
Overpass2100%1.7418.0
Train10%0.294.0

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.

22.7%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.0%Spray accuracy
81.6%Counter-strafing
7.2°Preaim
523msReaction time
56.3%T opening success
59.9%CT opening success
0.72Enemies flashed / flash
6.7%Flash assists
10.56HE damage / grenade
15.73Flashes / match

Recommended for you

Spend your practice time on Cache

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 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0115%30 Sept →
inferno13–70.0525%27 Sept →
train13–20.1035%27 Sept →
mirage13–9-0.0624%27 Sept →
mirage13–11-0.0326%26 Sept →
inferno13–20.0711%26 Sept →
ancient10–13-0.0421%26 Sept →
cache13–160.0123%25 Sept →
inferno13–160.0623%25 Sept →
mirage6–130.0222%25 Sept →
nuke13–70.1131%24 Sept →
inferno10–13-0.0418%24 Sept →
mirage4–130.0315%20 Sept →
mirage9–130.0226%20 Sept →
cache8–130.0428%19 Sept →
anubis13–100.0410%19 Sept →
mirage13–80.0819%17 Sept →
anubis5–13-0.0115%16 Sept →
mirage2–13-0.0045%16 Sept →
inferno6–130.0720%14 Sept →
nuke13–110.0428%13 Sept →
inferno13–30.1826%13 Sept →
mirage13–100.0415%13 Sept →
dust23–13-0.0212%12 Sept →
mirage16–130.1125%10 Sept →
anubis13–80.0725%10 Sept →
inferno13–100.0317%9 Sept →
mirage13–5-0.0529%9 Sept →
mirage13–80.1023%8 Sept →
dust213–40.1135%8 Sept →
dust211–130.0318%7 Sept →
anubis11–13-0.0115%4 Sept →
inferno14–16-0.0014%4 Sept →
ancient13–60.0518%4 Sept →
mirage11–130.0426%4 Sept →
inferno13–90.1415%2 Sept →
mirage13–80.0832%2 Sept →
ancient13–90.0619%1 Sept →
anubis13–4-0.0022%1 Sept →
inferno13–60.0823%28 Aug →
mirage11–13-0.0015%27 Aug →
mirage10–130.0316%27 Aug →
mirage13–10-0.0133%24 Aug →
mirage11–130.0323%24 Aug →
anubis11–130.0838%24 Aug →
inferno9–13-0.0135%21 Aug →
ancient13–9-0.0219%21 Aug →
inferno16–120.0317%19 Aug →
ancient13–60.0931%15 Aug →
inferno4–13-0.0216%15 Aug →
nuke13–50.0627%15 Aug →
train7–130.1127%14 Aug →
vertigo13–70.0125%13 Aug →
mirage7–130.0932%13 Aug →
inferno3–13-0.0813%13 Aug →
inferno10–13-0.0321%9 Aug →
overpass12–12-0.0229%9 Aug →
cache4–13-0.0230%29 Jul →
inferno9–13-0.0129%29 Jul →
overpass13–40.0220%8 Jul →
nuke12–120.0726%8 Jul →
mirage13–110.0124%6 Jul →
nuke16–130.0436%6 Jul →
nuke13–30.0031%6 Jul →
mirage11–130.0210%6 Jul →
anubis13–10-0.0212%6 Jul →
inferno13–20.1036%6 Jul →
overpass7–13-0.0221%1 Jul →
cache13–50.0429%30 Jun →
dust26–00.0747%30 Jun →
mirage13–8-0.0523%30 Jun →
ancient8–13-0.0210%29 Jun →
nuke10–130.0829%25 Jun →
mirage13–100.0315%25 Jun →
nuke13–90.1126%25 Jun →
mirage5–13-0.0032%23 Jun →
mirage13–90.0928%23 Jun →
ancient15–150.0933%22 Jun →
mirage13–100.0317%22 Jun →
cache6–130.0937%21 Jun →
office12–120.0326%21 Jun →
anubis13–30.1221%21 Jun →
nuke13–40.1420%21 Jun →
overpass2–13-0.0136%19 Jun →
mirage13–50.0531%19 Jun →
vertigo2–40.1637%19 Jun →
train8–13-0.0215%19 Jun →
mirage7–13-0.069%18 Jun →
nuke7–13-0.0542%15 Jun →
nuke10–13-0.0130%15 Jun →
ancient9–13-0.0512%6 Jun →
inferno1–13-0.0914%6 Jun →
cache9–130.0216%6 Jun →
ancient7–13-0.0515%2 Jun →
ancient7–00.1017%2 Jun →
office3–13-0.0121%30 May →
inferno13–50.0443%28 May →
mirage8–13-0.0132%28 May →
vertigo12–120.0823%27 May →
cache13–60.0718%27 May →

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 →

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