Mori

Mori — CS2 Stats

RE76561199403219342[U:1:1442953614]Steam profile ↗✓ No bans

1,887Tracked matches47%Win rate2023Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating18,351Purple band · top ~15.1% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−644Premier CS Rating · 18,995 → 18,351

Rating over time

Premier CS Rating: 18,351 -1,203 10 May – 12 Oct · 14 days played
18,26819,885peak 19,88510 May12 Oct
20,492Peak Premier in tracked matches
1,305Highest Faceit ELO seen on CSDB
24Days played since 2026-05-10

Faceit ELO

  • At peak — 1,305
  • Next: Level 7 at 1,351 — 46 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 1,534 below peak (19,885)
  • Next: Pink band at 20,000 — 1,649 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGMoriPREMIER18,351 · Purple bandPEAK ELO1,305csdb.gg/stats

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Performance scores

Aim69
Positioning53
Utility68

0–100 skill scores via Leetify.

Recent form

COLD53–44–3Last 10053%Win rateLLLWLLLLLW

Last 10 vs previous 10: −50pp win rate · −0.06 avg rating · −5.2pp headshot accuracy · +38ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 578ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 546ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 528ms

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 (+2.5 against its own average).

Aim6.9
Utility6.8
Positioning5.3
Opening Duels1.2
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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 55% on T to 27% on CT — first contacts on the defending side are being lost.

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

Aim6.9
Positioning5.3
Utility6.8
Mechanics6.5
Opening Duels3.2
Win Impact3.9

Composite 5.8/10 (Solid), 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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time525ms−87ms
first ⅓ avg 612ms → last ⅓ avg 525ms
Headshot accuracy17.9%−0.7%
first ⅓ avg 18.6% → last ⅓ avg 17.9%

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 · 13–4 · anubis, 9 Oct →
50%Best headshot accuracy · 1–13 · ancient, 30 Sept →
328msFastest reaction time · 9–1 · vertigo, 24 Sept →
13–1Biggest win · ancient, 23 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheA2113–862%0.01
dust2B178–947%0.02
ancientB178–947%0.01
mirageB147–750%0.00
anubisA116–555%0.01
infernoD93–633%0.01
nukeS75–271%0.04
vertigo—22–0100%0.04
office—10–10%0.07
italy—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

441Matches
48%Win rate
1.12Avg K/D
83.2ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust211246%1.0615.6
Mirage11249%1.2116.4
Ancient6952%1.1416.4
Inferno4340%0.9514.4
Anubis2955%1.0816.8
Nuke2143%1.0514.6
Cache1741%1.0414.9
Train1450%1.2017.1

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.

17.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.6%Spray accuracy
79.3%Counter-strafing
10.6°Preaim
535msReaction time
55.5%T opening success
27.3%CT opening success
0.55Enemies flashed / flash
6.1%Flash assists
12.95HE damage / grenade
13.90Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.332% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0120%12 Oct →
inferno13–16-0.0611%12 Oct →
dust211–130.0013%11 Oct →
inferno13–90.018%11 Oct →
anubis5–13-0.0514%11 Oct →
cache5–13-0.0117%11 Oct →
cache9–130.0224%11 Oct →
ancient10–130.0625%11 Oct →
anubis9–13-0.077%11 Oct →
ancient13–8-0.0628%11 Oct →
nuke10–40.0830%11 Oct →
anubis13–100.0633%11 Oct →
cache13–6-0.1014%10 Oct →
dust26–13-0.0124%10 Oct →
dust213–30.0721%10 Oct →
dust213–70.0919%10 Oct →
ancient1–13-0.0126%10 Oct →
inferno7–13-0.0014%10 Oct →
dust213–30.0524%10 Oct →
anubis13–40.1815%9 Oct →
anubis13–90.0822%9 Oct →
anubis13–90.0415%9 Oct →
cache11–130.0521%1 Oct →
mirage2–13-0.0717%1 Oct →
dust213–50.069%1 Oct →
inferno13–60.036%1 Oct →
ancient5–13-0.0013%1 Oct →
nuke10–13-0.0622%1 Oct →
mirage10–13-0.0813%1 Oct →
mirage16–140.016%1 Oct →
mirage2–13-0.0324%1 Oct →
mirage13–10-0.0014%1 Oct →
nuke13–110.0826%1 Oct →
dust29–130.0830%1 Oct →
cache13–60.0925%1 Oct →
ancient15–15-0.005%1 Oct →
mirage4–13-0.027%1 Oct →
nuke13–90.0812%1 Oct →
ancient1–13-0.0850%30 Sept →
inferno11–130.0416%30 Sept →
dust26–13-0.0011%30 Sept →
cache16–120.0616%30 Sept →
cache13–60.0737%24 Sept →
ancient13–80.0529%24 Sept →
vertigo9–1-0.0314%24 Sept →
mirage13–40.0318%24 Sept →
anubis7–13-0.0612%24 Sept →
ancient13–60.0521%24 Sept →
inferno3–13-0.0113%24 Sept →
dust211–130.0110%24 Sept →
dust213–6-0.0410%24 Sept →
dust213–50.1012%23 Sept →
anubis13–6-0.0610%23 Sept →
cache13–9-0.0312%23 Sept →
ancient13–10.0313%23 Sept →
ancient5–13-0.0413%23 Sept →
ancient13–60.0519%23 Sept →
inferno13–10.0310%23 Sept →
ancient7–130.0413%22 Sept →
cache13–70.0618%22 Sept →
inferno11–130.0724%22 Sept →
anubis13–90.0718%22 Sept →
dust211–130.0320%21 Sept →
cache8–130.0217%21 Sept →
mirage7–13-0.0112%21 Sept →
cache13–110.019%21 Sept →
mirage7–13-0.0424%7 Sept →
ancient13–40.0024%7 Sept →
dust27–130.0426%29 Aug →
mirage13–90.0623%12 Jul →
mirage13–90.0418%21 Jun →
cache13–11-0.0430%6 Jun →
dust213–60.0114%5 Jun →
ancient10–130.047%5 Jun →
nuke7–130.0219%23 May →
nuke13–6-0.0416%23 May →
cache13–10-0.0216%23 May →
nuke13–30.1028%23 May →
vertigo13–20.1125%23 May →
cache0–13-0.0420%22 May →
cache10–130.0121%18 May →
ancient13–7-0.0117%18 May →
cache13–9-0.0119%18 May →
ancient10–130.0119%18 May →
cache13–100.0110%16 May →
cache13–9-0.0122%16 May →
cache12–12-0.0415%16 May →
cache3–13-0.0324%16 May →
inferno1–6-0.0129%16 May →
anubis10–13-0.0513%13 May →
dust211–13-0.066%13 May →
ancient13–50.0924%13 May →
mirage13–90.1210%13 May →
dust28–13-0.0617%13 May →
mirage13–10-0.0110%12 May →
office12–120.0720%11 May →
cache13–110.0523%11 May →
dust213–10-0.0414%10 May →
italy13–70.0619%10 May →
anubis10–13-0.0415%10 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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