Morizon

Morizon — CS2 Stats

DE76561198274409388[U:1:314143660]Steam profile ↗✓ No bans

1,780Tracked matches47%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating24,311Top 25% of 204,316 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)
CSDB Leaderboard#28488 of 251423 tracked
FaceitLevel 10 · 1,820 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−183Faceit ELO · 2,003 → 1,820

Rating over time

Premier CS Rating: 24,311 +1,631 5 Sept – 3 Oct · 8 days played
22,68024,471peak 24,4715 Sept3 Oct
24,471Peak Premier in tracked matches
2,003Highest Faceit ELO seen on CSDB
28Days played since 2026-08-21

Faceit ELO

  • 183 below peak (2,003)
  • Next: Level 10 at 2,001 — 181 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

Premier CS Rating

  • 160 below peak (24,471)
  • +1,631 over 30 days · improving
  • Next: Red band at 25,000 — 689 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-09
  • Purple band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGMorizonFACEITLevel 10 · 1,820 ELOSTANDINGTop 12.4% of rankedPREMIER24,311 · Pink bandPEAK ELO2,003csdb.gg/stats

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Performance scores

Aim65
Positioning69
Utility65

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLWLWLLLLLW

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · +0.8pp headshot accuracy · +62ms reaction

Win rate down 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 (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 522ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 586ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 555ms

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 (+1.6 against its own average).

Aim6.5
Utility6.5
Positioning6.9
Opening Duels4.1
Clutch3.6

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 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 559ms 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

Aim6.5
Positioning6.9
Utility6.5
Mechanics6.1
Opening Duels6.2
Win Impact3.9

Composite 6.4/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time559ms+30ms
first ⅓ avg 529ms → last ⅓ avg 559ms
Headshot accuracy16.3%−3.6%
first ⅓ avg 19.9% → last ⅓ avg 16.3%

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

0.09Best match rating · 13–7 · cache, 4 Oct →
45%Best headshot accuracy · 13–0 · ancient, 5 Sept →
328msFastest reaction time · 1–11 · anubis, 5 Sept →
13–0Biggest win · ancient, 5 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–11In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 73% over 11ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB2713–1448%-0.00
dust2B178–947%-0.02
anubisC166–1038%-0.01
ancientD155–1033%0.01
cacheS118–373%-0.01
nukeB105–550%-0.02
vertigo—10–10%0.05
mirage—11–0100%0.02
train—11–0100%0.05
fachwerk—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

912Matches
49%Win rate
1.01Avg K/D
74.5ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno20051%1.0615.0
Ancient16948%1.0115.5
Nuke9845%1.0315.4
Anubis9845%1.0915.7
Dust28446%0.8013.1
Mirage6354%1.0214.3
Train4556%1.0216.2
Overpass2536%1.0317.8

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.

16.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
38.0%Spray accuracy
77.4%Counter-strafing
11.0°Preaim
559msReaction time
59.0%T opening success
50.7%CT opening success
0.59Enemies flashed / flash
16.7%Flash assists
9.03HE damage / grenade
9.12Flashes / match

Recommended for you

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0214%10 Oct →
inferno13–90.0717%6 Oct →
vertigo5–130.0514%6 Oct →
anubis13–60.0714%6 Oct →
dust214–16-0.0424%5 Oct →
dust29–13-0.0619%5 Oct →
nuke1–13-0.108%5 Oct →
inferno11–130.0221%4 Oct →
anubis11–130.0623%4 Oct →
cache13–70.0924%4 Oct →
inferno7–13-0.0317%3 Oct →
nuke12–16-0.0316%3 Oct →
anubis7–13-0.039%3 Oct →
anubis13–8-0.0116%3 Oct →
ancient13–10.019%3 Oct →
inferno6–13-0.0515%3 Oct →
inferno13–11-0.0117%3 Oct →
inferno11–13-0.0432%2 Oct →
cache13–4-0.0222%2 Oct →
dust219–160.0018%2 Oct →
inferno5–13-0.0318%2 Oct →
ancient13–60.0110%2 Oct →
inferno13–50.0313%30 Sept →
cache13–2-0.047%30 Sept →
cache13–40.0112%30 Sept →
anubis6–13-0.056%29 Sept →
inferno13–90.0119%29 Sept →
nuke13–80.0317%29 Sept →
inferno2–13-0.0021%28 Sept →
dust22–13-0.0417%28 Sept →
anubis1–13-0.0222%28 Sept →
nuke16–140.0310%26 Sept →
dust213–9-0.0619%26 Sept →
nuke13–10-0.0722%26 Sept →
anubis13–160.0418%26 Sept →
ancient5–13-0.0521%26 Sept →
anubis8–13-0.0221%26 Sept →
dust29–130.0020%24 Sept →
inferno13–90.004%23 Sept →
dust216–14-0.0412%23 Sept →
anubis5–13-0.0123%20 Sept →
ancient2–13-0.0531%20 Sept →
nuke8–130.0225%19 Sept →
mirage13–60.0214%19 Sept →
inferno13–7-0.0315%19 Sept →
dust28–13-0.0617%19 Sept →
nuke13–80.0119%18 Sept →
inferno13–1-0.0122%18 Sept →
ancient9–13-0.0111%18 Sept →
dust213–110.0419%18 Sept →
ancient8–80.0221%14 Sept →
dust27–13-0.0115%14 Sept →
dust213–100.0114%13 Sept →
cache11–13-0.0727%13 Sept →
inferno10–130.0116%13 Sept →
dust213–16-0.0317%12 Sept →
inferno13–100.0321%12 Sept →
ancient13–2-0.0324%12 Sept →
ancient11–130.0120%7 Sept →
inferno13–10-0.0015%7 Sept →
cache5–13-0.0613%7 Sept →
cache13–9-0.0322%7 Sept →
ancient9–130.0117%5 Sept →
inferno5–130.0423%5 Sept →
anubis1–11-0.088%5 Sept →
anubis13–7-0.0022%5 Sept →
inferno13–100.0119%5 Sept →
cache13–4-0.0216%5 Sept →
train13–60.0516%5 Sept →
ancient16–12-0.0223%5 Sept →
anubis1–13-0.0715%5 Sept →
dust211–130.0826%5 Sept →
ancient13–00.0845%5 Sept →
inferno13–50.0215%4 Sept →
fachwerk5–13-0.0915%4 Sept →
ancient11–130.0810%4 Sept →
cache15–15-0.0317%4 Sept →
anubis13–60.0632%1 Sept →
inferno13–7-0.0211%1 Sept →
nuke12–16-0.0219%1 Sept →
ancient5–130.0222%1 Sept →
ancient12–160.0425%1 Sept →
inferno15–15-0.0117%31 Aug →
cache13–100.0129%31 Aug →
cache13–50.0420%31 Aug →
anubis13–70.0014%29 Aug →
dust213–90.0120%29 Aug →
nuke8–13-0.0526%29 Aug →
inferno7–13-0.0711%29 Aug →
dust213–5-0.0418%27 Aug →
inferno3–13-0.0731%27 Aug →
dust213–8-0.0828%27 Aug →
ancient21–25-0.0114%26 Aug →
dust213–16-0.0316%22 Aug →
inferno10–130.0413%22 Aug →
anubis6–13-0.0817%22 Aug →
inferno13–11-0.0011%22 Aug →
nuke13–90.0019%21 Aug →
inferno14–16-0.0225%21 Aug →
anubis19–160.0419%21 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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