mnello

mnello — CS2 Stats

76561198223065540[U:1:262799812]Steam profile ↗✓ No bans

1,423Tracked matches36%Win rate2020Tracked since
CSDB Rating3.9 LearningPositional Player
FaceitLevel 6 · 1,208 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,208 → 1,208
+6Tracked matches · now 1,423
−7.6ppWin rate · 43.3% → 35.7%

Rating over time

Premier CS Rating: 24,268 +2,747 1 Nov – 8 Feb · 18 days played
21,17324,999peak 24,9991 Nov8 Feb
24,999Peak Premier in tracked matches
1,208Highest Faceit ELO seen on CSDB
53Days played since 2025-11-01

Faceit ELO

  • At peak — 1,208
  • Next: Level 7 at 1,351 — 143 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-07
  • Level 5 first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmnelloFACEITLevel 6 · 1,208 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,208csdb.gg/stats

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Performance scores

Aim59
Positioning50
Utility19

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateLTTLLLLLLW

Last 10 vs previous 10: −50pp win rate · −0.05 avg rating · +4.0pp headshot accuracy · +99ms 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 26%
  • Avg reaction 626ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 31%
  • Avg reaction 670ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 29%
  • Avg reaction 620ms

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 (+1.4 against its own average).

Aim5.9
Utility1.9
Positioning5.0
Opening Duels3.4
Clutch4.0

Limited utility dependence

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

donk

Plays most like donk 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim5.9
Positioning5.0
Utility1.9
Mechanics6.5
Opening Duels2.5
Win Impact0.2

Composite 3.9/10 (Learning), 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 rating-0.02−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time592ms+40ms
first ⅓ avg 552ms → last ⅓ avg 592ms
Headshot accuracy26.7%−1.0%
first ⅓ avg 27.7% → last ⅓ avg 26.7%

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

0.13Best match rating · 9–2 · sanctum, 25 Jan →
100%Best headshot accuracy · 13–6 · train, 8 Nov →
391msFastest reaction time · 2–13 · mirage, 29 Nov →
13–2Biggest win · overpass, 1 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2011–955%-0.01
ancientA148–657%0.00
infernoB147–750%-0.02
mirageB126–650%-0.03
cacheA116–555%-0.00
dust2C83–538%-0.02
overpassA74–357%-0.02
anubisA53–260%-0.02
vertigo—32–167%-0.02
train—22–0100%-0.02
alpine—10–10%-0.00
stronghold—11–0100%-0.06
sanctum—11–0100%0.13
poseidon—10–10%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

150Matches
55%Win rate
1.23Avg K/D
93.1ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
30%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1675%1.4218.0
Mirage1567%1.6018.8
Nuke1258%1.3517.4
Vertigo1080%1.8429.6
Ancient757%1.1713.6
Dust2650%1.2120.0
Anubis667%1.5519.5
Train367%1.2213.7

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.

25.4%Headshot accuracy
27.1%Accuracy (enemy spotted)
32.2%Spray accuracy
79.4%Counter-strafing
11.2°Preaim
595msReaction time
30.7%T opening success
49.1%CT opening success
0.43Enemies flashed / flash
2.6%Flash assists
5.47HE damage / grenade
3.81Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4331 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 30.6843% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0722%23 Oct →
nuke12–12-0.0532%18 Oct →
cache12–12-0.0530%17 Oct →
ancient5–13-0.0433%17 Oct →
vertigo5–13-0.0611%10 Oct →
nuke2–9-0.1567%1 Oct →
cache7–13-0.0427%4 Sept →
mirage3–13-0.1042%23 Aug →
dust210–13-0.0116%8 Aug →
cache13–50.0635%5 Jun →
inferno8–80.0524%31 May →
vertigo9–30.0132%31 May →
cache13–11-0.0020%21 May →
cache13–10-0.0511%16 May →
alpine11–13-0.0033%16 May →
cache13–70.0333%16 May →
cache0–9-0.0233%3 May →
cache10–10-0.0124%3 May →
cache2–13-0.0235%2 May →
dust213–9-0.0030%1 May →
cache3–13-0.0325%1 May →
nuke13–11-0.0636%1 May →
cache13–40.1225%29 Apr →
inferno9–13-0.0517%25 Apr →
ancient13–3-0.0035%19 Apr →
overpass2–13-0.090%19 Apr →
inferno7–110.0335%4 Apr →
mirage2–13-0.0616%28 Mar →
dust23–13-0.0513%28 Mar →
stronghold13–5-0.0611%28 Mar →
ancient11–13-0.0119%26 Mar →
nuke10–130.0023%8 Feb →
nuke12–160.0036%7 Feb →
anubis13–30.0324%7 Feb →
inferno13–10-0.0622%7 Feb →
dust210–13-0.0126%7 Feb →
dust213–40.0133%7 Feb →
overpass4–13-0.1118%7 Feb →
nuke13–60.0327%1 Feb →
ancient12–12-0.0131%31 Jan →
mirage7–0-0.0527%31 Jan →
inferno6–13-0.0831%30 Jan →
anubis7–13-0.0731%30 Jan →
dust213–3-0.0030%30 Jan →
mirage3–13-0.0911%30 Jan →
anubis4–13-0.0623%29 Jan →
dust21–13-0.0417%29 Jan →
anubis13–60.0129%27 Jan →
sanctum9–20.1326%25 Jan →
anubis13–11-0.0317%24 Jan →
nuke13–11-0.0024%24 Jan →
inferno13–6-0.0429%24 Jan →
mirage13–50.0817%24 Jan →
poseidon4–90.1135%23 Jan →
nuke10–130.0438%21 Jan →
inferno13–8-0.0332%18 Jan →
nuke13–70.0225%17 Jan →
nuke13–6-0.0317%17 Jan →
inferno11–13-0.0219%17 Jan →
nuke6–13-0.0718%11 Dec →
ancient3–13-0.0632%6 Dec →
nuke13–6-0.1050%5 Dec →
nuke13–40.0342%5 Dec →
ancient13–100.0425%4 Dec →
inferno16–14-0.0413%1 Dec →
mirage9–13-0.0322%29 Nov →
nuke4–13-0.0430%29 Nov →
mirage2–13-0.0635%29 Nov →
train13–9-0.0122%29 Nov →
ancient13–11-0.0238%28 Nov →
ancient16–140.0228%22 Nov →
mirage13–10-0.0133%21 Nov →
inferno4–9-0.0621%15 Nov →
overpass9–20.1229%15 Nov →
inferno16–13-0.0233%14 Nov →
overpass13–9-0.0223%9 Nov →
nuke13–60.0439%9 Nov →
inferno10–30.0535%9 Nov →
ancient3–13-0.0227%8 Nov →
nuke6–13-0.060%8 Nov →
train13–6-0.03100%8 Nov →
overpass13–80.0120%8 Nov →
dust27–13-0.0436%8 Nov →
mirage13–4-0.0629%7 Nov →
ancient13–90.0319%7 Nov →
mirage7–13-0.0322%7 Nov →
ancient13–60.0825%7 Nov →
mirage13–110.0427%6 Nov →
inferno13–50.0528%5 Nov →
vertigo13–8-0.0218%4 Nov →
ancient10–13-0.0322%2 Nov →
overpass6–13-0.0610%1 Nov →
overpass13–2-0.0329%1 Nov →
inferno7–13-0.0822%1 Nov →
nuke13–11-0.0121%1 Nov →
nuke13–20.1025%1 Nov →
ancient13–70.0120%1 Nov →
mirage13–30.0017%1 Nov →
ancient13–20.0844%1 Nov →
nuke13–50.1119%1 Nov →

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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