m0elsby

m0elsby — CS2 Stats

DK76561198153490490[U:1:193224762]Steam profile ↗✓ No bans

572Tracked matches57%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,365 +7,595 16 Dec – 12 Aug · 51 days played
3,46913,438peak 13,43816 Dec12 Aug
13,438Peak Premier in tracked matches
76Days played since 2023-08-15

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

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CSDB.GGm0elsbyFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning61
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLWWLLWWLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.3pp headshot accuracy · +8ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 708ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 650ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 646ms

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 (+2.8 against its own average).

Aim4.8
Utility2.1
Positioning6.1
Opening Duels4.8
Clutch0.0

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

s1mple

Plays most like s1mple 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 643ms 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

Aim4.8
Positioning6.1
Utility2.1
Mechanics7.1
Opening Duels3.8
Win Impact7.2

Composite 5.1/10 (Developing), 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 rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time655ms+38ms
first ⅓ avg 617ms → last ⅓ avg 655ms
Headshot accuracy22.1%+4.3%
first ⅓ avg 17.8% → last ⅓ avg 22.1%

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

0.19Best match rating · 13–1 · nuke, 30 Jun →
41%Best headshot accuracy · 8–13 · nuke, 7 Apr →
406msFastest reaction time · 16–14 · inferno, 17 Aug →
13–0Biggest win · mirage, 12 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–7In matches decided by ≤2 rounds
21Overtime games

Map breakdown

infernoBest map · 63% over 16ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB2613–1350%0.04
vertigoB2210–1245%-0.01
infernoA1610–663%0.02
mirageC125–742%0.01
ancientD72–529%-0.02
overpassD62–433%0.02
dust2C52–340%0.02
anubis—32–167%-0.05
train—21–150%-0.00
office—10–10%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,034Matches
52%Win rate
1.15Avg K/D
46.7ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo450%0.9611.3
Mirage367%0.8613.0
Ancient367%0.7815.0
Inferno250%1.3118.5
Anubis250%0.444.5
Overpass1100%1.0011.0

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.

21.5%Headshot accuracy
28.4%Accuracy (enemy spotted)
27.1%Spray accuracy
81.8%Counter-strafing
11.5°Preaim
643msReaction time
47.8%T opening success
43.0%CT opening success
0.63Enemies flashed / flash
6.6%Flash assists
11.77HE damage / grenade
12.02Flashes / 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–100.0623%25 Dec →
train5–130.0213%7 Feb →
ancient13–9-0.0627%7 Feb →
train13–9-0.0314%30 Dec →
vertigo0–13-0.0422%12 Aug →
mirage12–16-0.0317%4 Aug →
nuke16–120.0217%2 Aug →
inferno16–140.0117%30 Jul →
nuke9–13-0.0132%9 Jul →
nuke13–10.1925%30 Jun →
nuke13–90.1023%30 Jun →
nuke13–80.0420%29 Jun →
nuke13–90.1022%24 Jun →
inferno13–90.0532%22 Jun →
dust29–130.0733%21 Jun →
ancient11–130.0224%21 Jun →
ancient12–160.0311%19 Jun →
inferno10–130.0319%16 Jun →
nuke3–9-0.1118%6 Jun →
vertigo13–70.0119%4 Jun →
vertigo1–13-0.0926%31 May →
ancient5–13-0.0624%31 May →
inferno13–70.0311%24 May →
vertigo13–50.0916%22 May →
inferno13–50.1117%20 May →
dust29–130.0422%10 May →
inferno13–100.0827%8 May →
dust213–110.0325%7 May →
inferno10–130.0122%6 May →
vertigo13–110.0323%5 May →
inferno10–130.0725%4 May →
dust213–80.0330%2 May →
nuke1–8-0.1133%24 Apr →
nuke13–110.0527%23 Apr →
vertigo8–130.0630%23 Apr →
inferno9–13-0.0119%20 Apr →
nuke11–130.0419%16 Apr →
nuke10–130.0721%12 Apr →
mirage11–13-0.0626%12 Apr →
vertigo13–60.0423%9 Apr →
vertigo13–10-0.0020%9 Apr →
nuke8–130.0741%7 Apr →
vertigo7–13-0.0716%4 Apr →
nuke15–15-0.0018%2 Apr →
nuke2–00.000%1 Apr →
nuke10–130.1426%27 Mar →
vertigo10–13-0.0410%22 Mar →
vertigo11–13-0.0227%18 Mar →
mirage13–6-0.0220%17 Mar →
nuke6–130.0030%15 Mar →
inferno13–80.0314%15 Mar →
nuke13–100.0916%12 Mar →
mirage13–00.1137%12 Mar →
vertigo2–130.019%12 Mar →
vertigo9–5-0.0032%11 Mar →
ancient4–13-0.075%9 Mar →
mirage13–160.0810%9 Mar →
mirage13–40.0525%9 Mar →
nuke0–130.0127%3 Mar →
anubis13–50.0314%2 Mar →
mirage13–30.0211%2 Mar →
nuke8–130.1523%29 Feb →
inferno13–20.0523%26 Feb →
vertigo13–2-0.0020%26 Feb →
overpass8–13-0.0522%23 Feb →
vertigo14–16-0.1216%17 Feb →
mirage9–130.009%16 Feb →
ancient13–4-0.0038%16 Feb →
vertigo13–11-0.0616%16 Feb →
inferno13–70.0123%15 Feb →
mirage4–13-0.0722%15 Feb →
anubis2–13-0.1325%14 Feb →
anubis13–2-0.0631%14 Feb →
ancient16–19-0.0327%12 Feb →
mirage13–90.0111%12 Feb →
mirage10–130.0521%9 Feb →
vertigo6–13-0.0218%7 Feb →
nuke13–100.0716%5 Feb →
vertigo6–130.0133%3 Feb →
inferno11–13-0.0513%20 Jan →
office0–50.000%13 Jan →
vertigo15–150.0225%30 Dec →
nuke3–130.024%20 Dec →
overpass12–16-0.0222%19 Dec →
mirage10–13-0.0421%19 Dec →
overpass11–130.0118%16 Dec →
nuke13–70.1324%4 Dec →
nuke13–11-0.0312%18 Sept →
vertigo13–80.0513%18 Sept →
vertigo16–19-0.0516%8 Sept →
overpass12–160.0813%31 Aug →
inferno16–130.0521%30 Aug →
vertigo16–110.0114%28 Aug →
nuke16–70.0812%23 Aug →
dust28–16-0.0523%19 Aug →
overpass16–100.026%19 Aug →
nuke15–15-0.0315%19 Aug →
inferno16–14-0.0513%17 Aug →
nuke16–100.0217%17 Aug →
inferno0–16-0.079%15 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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