MLora

MLora — CS2 Stats

DO76561197966088971[U:1:5823243]Steam profile ↗✓ No bans

1,160Tracked matches50%Win rate2022Tracked since
CSDB Rating6.1 SolidSupport
FaceitLevel 9 · 2,063 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,160 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 71 days played since 20 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 2,063 +0 3 Sept17 Sept · 3 observations
2,0632,063peak 2,0633 Sept17 Sept
2,063Highest Faceit ELO seen on CSDB
71Days played since 2025-11-20

Faceit ELO

  • At peak — 2,063
  • Next: 2,500 ELO at 2,500 437 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGMLoraFACEITLevel 9 · 2,063 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,063csdb.gg/stats

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Performance scores

Aim85
Positioning52
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY4456Last 10044%Win rateWLLWWWLLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −8.4pp headshot accuracy · −41ms 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 461ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 463ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 484ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim8.5
Utility6.0
Positioning5.2
Opening Duels2.9
Clutch3.2

Sharp aimer

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 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Aim8.5
Positioning5.2
Utility6.0
Mechanics5.6
Opening Duels2.5
Win Impact5.0

Composite 6.1/10 (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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time524ms−43ms
first ⅓ avg 567ms → last ⅓ avg 524ms
Headshot accuracy25.9%+4.2%
first ⅓ avg 21.7% → last ⅓ avg 25.9%

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

0.11Best match rating · 13–7 · mirage, 27 Feb
50%Best headshot accuracy · 13–6 · dust2, 15 Aug
375msFastest reaction time · 8–13 · ancient, 15 Aug
13–2Biggest win · inferno, 28 Feb

Across the last 100 tracked matches.

Highlights

3Longest win streak
1212In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 62% over 13dust2Weakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB26131350%0.02
ancientC23101343%-0.01
infernoC1771041%-0.01
dust2D1641225%0.00
anubisA138562%0.00
nuke42250%-0.03
train1010%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,126Matches
51%Win rate
1.10Avg K/D
75.7ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage31553%1.0915.6
Ancient18551%1.0715.9
Dust217845%1.2016.5
Anubis15247%1.1315.6
Inferno14754%1.1515.4
Nuke4850%0.9314.8
Train2157%1.1917.3
Overpass2060%0.9915.0

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.

25.6%Headshot accuracy
35.9%Accuracy (enemy spotted)
40.0%Spray accuracy
75.3%Counter-strafing
9.0°Preaim
519msReaction time
33.6%T opening success
46.8%CT opening success
0.69Enemies flashed / flash
4.5%Flash assists
10.02HE damage / grenade
8.97Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.5694% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0933%15 Sept
ancient2–13-0.0117%10 Sept
mirage8–130.0321%3 Sept
mirage13–50.0222%2 Sept
anubis16–140.0240%2 Sept
mirage13–9-0.0323%1 Sept
dust25–130.0331%27 Aug
inferno7–13-0.0621%26 Aug
inferno13–50.020%26 Aug
inferno10–13-0.0514%25 Aug
inferno2–13-0.0615%20 Aug
ancient8–13-0.0529%20 Aug
mirage6–13-0.0132%20 Aug
dust213–60.0050%15 Aug
ancient13–90.0930%15 Aug
ancient8–13-0.0235%15 Aug
ancient13–9-0.0241%13 Aug
anubis7–13-0.0527%6 Aug
inferno14–160.0121%6 Aug
anubis13–100.0627%2 Aug
nuke13–4-0.0119%28 Jul
inferno8–130.0310%27 Jul
nuke13–11-0.0416%22 Jul
ancient13–11-0.0726%21 Jul
dust23–13-0.0330%21 Jul
mirage13–80.0322%10 Jul
dust213–110.0022%27 Jun
ancient11–13-0.0421%27 Jun
anubis13–90.0233%21 Jun
dust211–130.0131%10 Jun
ancient11–130.0023%3 Jun
dust210–130.0748%3 Jun
anubis13–10-0.0025%2 Jun
dust29–13-0.0136%30 May
anubis13–110.097%30 May
dust210–13-0.0125%27 May
ancient5–13-0.0440%21 May
dust213–70.0419%18 May
ancient7–13-0.0425%14 May
dust213–50.0630%8 May
anubis8–13-0.0626%6 May
mirage13–30.0826%6 May
anubis13–16-0.0622%3 May
inferno8–13-0.0121%30 Apr
mirage9–13-0.0717%30 Apr
anubis13–11-0.0418%25 Apr
mirage5–13-0.076%25 Apr
inferno5–13-0.0221%23 Apr
mirage7–13-0.0114%14 Apr
anubis10–130.0134%7 Apr
ancient13–5-0.0321%4 Apr
inferno11–130.0431%4 Apr
mirage10–130.0419%1 Apr
dust28–13-0.0710%18 Mar
inferno10–13-0.0122%17 Mar
mirage11–130.0218%13 Mar
anubis19–160.0120%13 Mar
dust214–16-0.0419%2 Mar
inferno13–2-0.0122%28 Feb
ancient13–10-0.0122%28 Feb
mirage13–70.1127%27 Feb
ancient6–130.0225%27 Feb
inferno7–13-0.0618%26 Feb
ancient13–100.0326%26 Feb
anubis11–13-0.0126%25 Feb
ancient3–13-0.0017%25 Feb
inferno13–80.0332%24 Feb
mirage13–80.0819%22 Feb
mirage13–70.0533%18 Feb
ancient5–13-0.0124%17 Feb
mirage13–50.0838%17 Feb
mirage13–9-0.0112%16 Feb
mirage7–13-0.0322%4 Feb
ancient13–80.0431%28 Jan
ancient6–13-0.0513%28 Jan
mirage10–130.0212%25 Jan
dust28–13-0.0411%25 Jan
nuke8–13-0.0621%24 Jan
ancient13–110.0129%21 Jan
inferno13–110.0216%21 Jan
dust27–13-0.0114%16 Jan
ancient13–60.0424%15 Jan
anubis13–110.0228%13 Jan
mirage16–140.0430%11 Jan
ancient6–13-0.0710%10 Jan
mirage6–13-0.0219%2 Jan
dust214–16-0.0321%22 Dec
nuke11–13-0.0332%19 Dec
ancient13–80.0422%19 Dec
inferno16–14-0.0510%17 Dec
dust214–160.0529%17 Dec
mirage9–13-0.0110%7 Dec
mirage13–9-0.0124%6 Dec
inferno13–20.0917%1 Dec
mirage13–60.0624%1 Dec
ancient8–13-0.0540%22 Nov
mirage10–130.0126%22 Nov
inferno13–11-0.0216%21 Nov
mirage7–130.0032%21 Nov
train17–190.009%20 Nov

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →