Toby MayonEZE

Toby MayonEZE — CS2 Stats

FI76561198062082057[U:1:101816329]Steam profile ↗✓ No bans

2,854Tracked matches63%Win rate2020Tracked since
4,575Hours in CS41Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating17,879Purple band · top ~16.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 17,879 +1,596 14 Sept – 4 Nov · 25 days played
13,35617,879peak 17,87914 Sept4 Nov
17,879Peak Premier in tracked matches
27Days played since 2026-09-14

Premier CS Rating

  • At peak — 17,879
  • +3,540 over 30 days · improving
  • Next: Pink band at 20,000 — 2,121 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate36.4%42.7%43.8%7.4% short
Shot accuracy9.4%11.2%12.0%2.6% short
Kill/death ratio0.940.991.020.08 short
Match win rate37.3%43.9%44.7%7.4% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGToby MayonEZEFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,879 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim34
Positioning52
Utility68

0–100 skill scores via Leetify.

Recent form

HOT59–39–2Last 10059%Win rateWWWWLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.3pp headshot accuracy · −23ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 589ms

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 (+1.8 against its own average).

Aim3.4
Utility6.8
Positioning5.2
Opening Duels4.9
Clutch3.2

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

device

Plays most like device 61% 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. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4
Positioning5.2
Utility6.8
Mechanics1.2
Opening Duels5.0
Win Impact9.4

Composite 4.7/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time588ms+21ms
first ⅓ avg 567ms → last ⅓ avg 588ms
Headshot accuracy18.3%+5.5%
first ⅓ avg 12.8% → last ⅓ avg 18.3%

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

0.12Best match rating · 9–2 · inferno, 4 Nov →
32%Best headshot accuracy · 13–3 · fachwerk, 30 Oct →
406msFastest reaction time · 7–13 · anubis, 10 Oct →
13–1Biggest win · dust2, 3 Nov →

Across the last 100 tracked matches.

Highlights

12Longest win streak
W4Current streak
10–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 75% over 12mirageWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2S1711–665%-0.01
infernoA1610–663%0.02
mirageC146–843%-0.00
nukeS129–375%0.02
anubisA106–460%-0.01
cacheB105–550%-0.02
ancientS86–275%0.00
officeA53–260%0.00
train—31–233%-0.03
vertigo—21–150%0.05
fachwerk—11–0100%0.09
overpass—10–10%-0.04
poseidon—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,759Lifetime kills
0.94K/D
6,515Matches
37.3%Match win rate
36.4%Headshot %
9.4%Shot accuracy
9,380MVPs
2,272Hours (in match)
5,664Bombs planted
1,166Bombs defused

Most-used weapons

AK-4722,843
AWP14,706
MP75,601
MP94,902
MAC-103,716
XM10143,090

Lifetime map wins

8,860dust2
6,906nuke
6,202inferno
2,160train
1,412vertigo
1,025office
223italy
202cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

116Matches
53%Win rate
0.95Avg K/D
71.4ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22348%0.9313.1
Nuke1656%1.1214.6
Mirage1331%0.8312.5
Inferno967%0.9113.2
Ancient850%0.8313.5
Overpass667%0.9316.5
Anubis367%0.7313.0
Cache250%0.507.5

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.

18.2%Headshot accuracy
27.7%Accuracy (enemy spotted)
33.8%Spray accuracy
55.6%Counter-strafing
10.7°Preaim
591msReaction time
44.3%T opening success
55.3%CT opening success
0.61Enemies flashed / flash
5.3%Flash assists
11.41HE damage / grenade
7.36Flashes / 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–130.018%4 Nov →
inferno9–20.1216%4 Nov →
anubis13–100.0113%3 Nov →
nuke13–11-0.0323%3 Nov →
cache11–130.0215%3 Nov →
inferno13–3-0.0011%3 Nov →
cache13–20.0922%3 Nov →
mirage3–13-0.0417%3 Nov →
dust213–10.049%3 Nov →
dust22–13-0.0317%3 Nov →
ancient13–60.0724%3 Nov →
anubis13–11-0.0115%3 Nov →
dust25–13-0.0021%3 Nov →
inferno9–60.0922%3 Nov →
anubis7–130.0217%3 Nov →
vertigo5–130.0124%2 Nov →
cache11–13-0.0412%2 Nov →
dust28–130.0119%2 Nov →
nuke13–100.0219%2 Nov →
mirage13–7-0.0711%2 Nov →
inferno10–13-0.0122%1 Nov →
nuke13–8-0.0019%1 Nov →
inferno7–9-0.0316%1 Nov →
dust213–11-0.0127%1 Nov →
inferno13–70.0119%1 Nov →
ancient13–60.0212%1 Nov →
inferno13–30.1113%1 Nov →
anubis6–13-0.0322%31 Oct →
inferno8–13-0.0320%30 Oct →
fachwerk13–30.0932%30 Oct →
office13–80.0230%30 Oct →
office13–11-0.0516%30 Oct →
office13–110.0422%28 Oct →
office5–130.0419%28 Oct →
office5–13-0.0427%28 Oct →
dust213–90.0222%28 Oct →
ancient13–10-0.0324%25 Oct →
mirage7–130.0132%25 Oct →
cache13–11-0.0510%24 Oct →
nuke13–80.0416%24 Oct →
inferno6–130.0227%23 Oct →
mirage13–160.0219%22 Oct →
mirage11–130.0319%22 Oct →
mirage13–30.028%22 Oct →
inferno3–13-0.0210%22 Oct →
cache12–12-0.016%22 Oct →
cache13–11-0.0212%21 Oct →
dust25–130.0010%21 Oct →
overpass5–9-0.046%21 Oct →
poseidon6–9-0.018%19 Oct →
vertigo9–40.1011%19 Oct →
inferno9–4-0.0612%19 Oct →
nuke9–40.1112%19 Oct →
inferno13–9-0.0015%18 Oct →
mirage11–13-0.0411%18 Oct →
dust216–13-0.0119%18 Oct →
anubis16–120.005%18 Oct →
inferno13–110.0113%18 Oct →
dust213–40.0412%17 Oct →
anubis16–13-0.0311%17 Oct →
dust213–50.0314%17 Oct →
nuke16–12-0.0210%17 Oct →
mirage13–6-0.018%17 Oct →
anubis13–6-0.0513%17 Oct →
ancient13–11-0.0417%17 Oct →
cache13–110.0017%17 Oct →
nuke13–7-0.0221%17 Oct →
cache11–13-0.0311%16 Oct →
dust213–6-0.0815%15 Oct →
ancient7–13-0.015%15 Oct →
nuke13–30.0915%15 Oct →
cache11–13-0.1011%14 Oct →
mirage13–100.056%14 Oct →
anubis11–13-0.0714%14 Oct →
mirage13–10.049%14 Oct →
dust213–160.0413%10 Oct →
anubis7–13-0.0510%10 Oct →
mirage10–13-0.0316%9 Oct →
train12–12-0.0220%9 Oct →
mirage11–13-0.0614%9 Oct →
cache13–10-0.0614%9 Oct →
dust213–5-0.0323%8 Oct →
train13–9-0.0220%7 Oct →
train4–13-0.050%7 Oct →
anubis13–20.0614%7 Oct →
ancient13–3-0.0319%7 Oct →
dust213–10-0.0317%6 Oct →
nuke7–130.0818%4 Oct →
nuke11–130.019%3 Oct →
ancient16–130.0419%3 Oct →
mirage10–130.008%3 Oct →
ancient12–16-0.019%3 Oct →
nuke13–1-0.0212%3 Oct →
dust213–7-0.058%3 Oct →
inferno13–50.0411%2 Oct →
dust213–3-0.0517%2 Oct →
nuke10–13-0.0110%2 Oct →
inferno13–100.037%2 Oct →
dust211–13-0.0511%2 Oct →
inferno14–160.0018%1 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.