lordmumi

lordmumi — CS2 Stats

DK76561198001839817[U:1:41574089]Steam profile ↗✓ No bans

232Tracked matches29%Win rate2022Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating9,582Light Blue band · top ~56.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 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: 9,582 -1,731 1 Sept – 6 Oct · 21 days played
9,25812,830peak 12,8301 Sept6 Oct
13,459Peak Premier in tracked matches
27Days played since 2026-09-01

Premier CS Rating

  • 3,248 below peak (12,830)
  • -1,727 over 30 days · declining
  • Next: Blue band at 10,000 — 418 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-08
  • Light Blue band first seen 2026-09-08

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

Share this profile

CSDB.GGlordmumiPREMIER9,582 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim71
Positioning59
Utility50

0–100 skill scores via Leetify.

Recent form

COLD35–56–9Last 10035%Win rateWTLLLLWLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.9pp headshot accuracy · −8ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 613ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 574ms

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 (+0.9 against its own average).

Aim7.1
Utility5.0
Positioning5.9
Opening Duels4.2

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

jL

Plays most like jL 93% 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

Reaction time. 554ms 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

Aim7.1
Positioning5.9
Utility5.0
Mechanics6.0
Opening Duels5.9
Win Impact0.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time555ms+19ms
first ⅓ avg 535ms → last ⅓ avg 555ms
Headshot accuracy16.7%−0.5%
first ⅓ avg 17.2% → last ⅓ avg 16.7%

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

0.33Best match rating · 9–2 · inferno, 14 Sept →
67%Best headshot accuracy · 9–0 · office, 2 Sept →
406msFastest reaction time · 10–13 · mirage, 18 Sept →
13–0Biggest win · vertigo, 10 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 52% over 25mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%0.03
nukeC218–1338%0.02
vertigoD144–1029%-0.01
mirageD122–1017%0.01
ancientD82–625%-0.00
cacheD62–433%-0.00
dust2C52–340%0.02
anubis—41–325%-0.01
overpass—40–40%0.01
office—11–0100%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
35.6%Accuracy (enemy spotted)
43.2%Spray accuracy
77.0%Counter-strafing
10.9°Preaim
554msReaction time
58.4%T opening success
48.7%CT opening success
0.57Enemies flashed / flash
10.5%Flash assists
5.69HE damage / grenade
14.32Flashes / match

Recommended for you

Spend your practice time on Mirage

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0214%6 Oct →
vertigo12–12-0.0126%4 Oct →
inferno4–9-0.1120%1 Oct →
dust28–130.0317%1 Oct →
mirage10–130.0217%29 Sept →
nuke10–130.0114%29 Sept →
inferno6–00.2625%29 Sept →
ancient5–13-0.0213%29 Sept →
nuke13–30.1119%28 Sept →
inferno8–130.0215%25 Sept →
dust213–50.1021%25 Sept →
nuke3–8-0.0413%25 Sept →
nuke11–13-0.0110%24 Sept →
ancient6–13-0.0917%24 Sept →
dust210–13-0.0113%24 Sept →
cache7–13-0.1021%24 Sept →
mirage8–13-0.0116%24 Sept →
nuke13–80.0916%24 Sept →
dust29–130.0116%23 Sept →
nuke13–50.1018%23 Sept →
vertigo5–13-0.0614%23 Sept →
inferno13–60.0313%23 Sept →
inferno7–90.0715%23 Sept →
inferno9–50.1221%23 Sept →
vertigo9–13-0.0119%23 Sept →
inferno13–110.0713%22 Sept →
anubis15–15-0.0214%22 Sept →
ancient6–13-0.0017%22 Sept →
nuke5–130.0422%21 Sept →
mirage7–13-0.027%21 Sept →
mirage5–130.0114%21 Sept →
nuke9–130.0117%21 Sept →
nuke4–13-0.0224%20 Sept →
ancient3–13-0.0713%20 Sept →
mirage13–110.0214%20 Sept →
inferno9–60.1210%20 Sept →
anubis3–130.0216%20 Sept →
mirage12–12-0.0316%18 Sept →
mirage10–130.1228%18 Sept →
inferno12–12-0.0121%18 Sept →
cache13–10-0.039%18 Sept →
nuke9–50.1316%18 Sept →
inferno13–6-0.049%17 Sept →
nuke7–13-0.0121%17 Sept →
mirage11–13-0.059%17 Sept →
inferno13–30.1619%17 Sept →
inferno3–9-0.098%17 Sept →
vertigo8–130.0116%16 Sept →
anubis13–70.0126%16 Sept →
anubis6–13-0.0520%16 Sept →
mirage1–130.0118%16 Sept →
nuke7–90.0128%16 Sept →
nuke7–9-0.0624%16 Sept →
inferno9–10.1010%16 Sept →
inferno10–130.0416%15 Sept →
nuke9–13-0.0113%15 Sept →
nuke8–13-0.0321%15 Sept →
nuke13–8-0.0118%15 Sept →
vertigo7–13-0.0324%15 Sept →
inferno9–20.3322%14 Sept →
overpass12–12-0.0122%14 Sept →
inferno6–9-0.1053%14 Sept →
inferno4–9-0.0330%14 Sept →
inferno8–8-0.0617%14 Sept →
vertigo6–130.0415%13 Sept →
inferno6–130.0326%12 Sept →
overpass4–13-0.0513%12 Sept →
nuke11–13-0.0410%12 Sept →
vertigo13–7-0.0325%12 Sept →
ancient7–130.1113%10 Sept →
cache5–130.0121%10 Sept →
vertigo13–0-0.0212%10 Sept →
cache2–100.0320%10 Sept →
vertigo13–40.0313%10 Sept →
inferno13–4-0.0513%10 Sept →
mirage16–130.0618%10 Sept →
mirage8–13-0.0114%9 Sept →
nuke13–60.0617%9 Sept →
inferno10–0-0.0217%9 Sept →
inferno13–70.0210%9 Sept →
mirage2–130.0115%9 Sept →
vertigo13–80.0215%9 Sept →
overpass12–12-0.0325%8 Sept →
nuke13–90.0718%8 Sept →
vertigo8–130.0313%8 Sept →
vertigo7–13-0.0713%8 Sept →
nuke13–60.0020%7 Sept →
ancient5–130.0419%7 Sept →
inferno2–9-0.0820%6 Sept →
inferno7–90.0121%6 Sept →
cache10–130.0117%6 Sept →
overpass8–80.1419%4 Sept →
ancient13–70.035%3 Sept →
vertigo4–13-0.037%2 Sept →
ancient13–11-0.007%2 Sept →
cache13–80.0823%2 Sept →
nuke4–130.0112%2 Sept →
office9–0-0.0767%2 Sept →
inferno13–40.029%1 Sept →
vertigo12–120.0220%1 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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