Gaudimax♿

Gaudimax♿ — CS2 Stats

VC76561198121191850[U:1:160926122]Steam profile ↗✓ No bans

393Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating24,070Top 25% of 212,133 CSDB-tracked playersPink band · top ~4% of ranked players (population est.)
CSDB Leaderboard#31675 of 259049 tracked
FaceitLevel 7 · 1,360 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 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: 24,070 +355 23 Oct – 30 Oct · 15 days played
21,52524,999peak 24,99923 Oct30 Oct
24,999Peak Premier in tracked matches
1,360Highest Faceit ELO seen on CSDB
29Days played since 2025-10-23

Faceit ELO

  • At peak — 1,360
  • Next: Level 8 at 1,531 — 171 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 929 below peak (24,999)
  • Next: Red band at 25,000 — 930 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGGaudimax♿FACEITLevel 7 · 1,360 ELOSTANDINGTop 42.3% of rankedPREMIER24,070 · Pink bandPEAK ELO1,360csdb.gg/stats

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Performance scores

Aim73
Positioning63
Utility54

0–100 skill scores via Leetify.

Recent form

HOT52–47–1Last 10052%Win rateWWLLWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +6.4pp headshot accuracy · −12ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 544ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 545ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 551ms

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 against its own average).

Aim7.3
Utility5.4
Positioning6.3
Opening Duels3.5
Clutch6.0

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

jL

Plays most like jL 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.3
Positioning6.3
Utility5.4
Mechanics5.3
Opening Duels3.7
Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time553ms−76ms
first ⅓ avg 629ms → last ⅓ avg 553ms
Headshot accuracy18.9%−3.8%
first ⅓ avg 22.6% → last ⅓ avg 18.9%

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

0.09Best match rating · 11–13 · dust2, 20 Dec →
50%Best headshot accuracy · 9–13 · train, 24 Oct →
383msFastest reaction time · 6–13 · inferno, 28 Oct →
13–2Biggest win · dust2, 29 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
11–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 62% over 42trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A4226–1662%-0.01
ancientB2010–1050%0.00
infernoB105–550%0.00
anubisD62–433%-0.01
overpassB63–350%0.01
mirageA53–260%-0.01
trainD51–420%-0.03
nuke—42–250%-0.05
cache—20–20%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

304Matches
54%Win rate
0.94Avg K/D
69.8ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
31%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2757%0.8314.0
Inferno250%0.6210.0
Anubis1100%0.8214.0
Ancient10%0.306.0
Cache10%1.2823.0

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.

19.0%Headshot accuracy
34.8%Accuracy (enemy spotted)
36.4%Spray accuracy
73.8%Counter-strafing
8.7°Preaim
546msReaction time
41.2%T opening success
48.7%CT opening success
0.63Enemies flashed / flash
4.8%Flash assists
7.80HE damage / grenade
8.56Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0128%30 Oct →
ancient13–100.0316%30 Oct →
dust27–13-0.0315%30 Oct →
dust214–160.0222%30 Oct →
dust213–4-0.0321%30 Oct →
mirage13–110.0025%29 Oct →
inferno11–130.0310%29 Oct →
ancient13–50.0415%29 Oct →
dust216–14-0.0226%29 Oct →
dust213–2-0.0533%29 Oct →
nuke2–13-0.0516%29 Oct →
inferno6–13-0.066%28 Oct →
inferno7–130.0326%28 Oct →
dust213–5-0.0011%28 Oct →
nuke13–9-0.0116%28 Oct →
mirage13–70.0314%28 Oct →
mirage16–14-0.0119%26 Oct →
anubis11–00.027%26 Oct →
dust210–130.0219%26 Oct →
mirage5–13-0.0412%26 Oct →
inferno10–130.0622%26 Oct →
nuke10–13-0.0713%24 Oct →
cache8–130.0126%23 Oct →
dust26–20.0017%23 Oct →
dust216–120.0326%23 Oct →
ancient10–130.0117%23 Oct →
dust27–13-0.0423%22 Oct →
inferno13–70.0215%22 Oct →
anubis9–13-0.0220%22 Oct →
dust26–13-0.0524%21 Oct →
dust213–10-0.0219%20 Oct →
dust213–100.0522%20 Oct →
cache8–130.0224%19 Oct →
mirage4–13-0.0527%19 Oct →
inferno13–90.0516%19 Oct →
dust213–30.0211%19 Oct →
dust213–80.0313%19 Oct →
dust213–11-0.0321%28 Mar →
dust28–13-0.0523%8 Jan →
ancient0–13-0.0110%7 Jan →
ancient14–16-0.0214%7 Jan →
dust211–13-0.0515%7 Jan →
dust213–11-0.0825%7 Jan →
ancient13–11-0.029%6 Jan →
dust211–13-0.0215%6 Jan →
overpass13–40.0716%6 Jan →
inferno16–140.0214%6 Jan →
dust26–13-0.0217%6 Jan →
dust213–9-0.0523%5 Jan →
dust213–60.0822%5 Jan →
ancient8–130.0420%5 Jan →
inferno13–9-0.0118%5 Jan →
anubis13–40.0421%5 Jan →
dust219–17-0.0016%4 Jan →
ancient13–40.0821%4 Jan →
train15–150.0219%4 Jan →
train13–4-0.0025%4 Jan →
dust213–110.0220%4 Jan →
overpass9–13-0.0132%4 Jan →
dust213–5-0.0119%4 Jan →
ancient13–70.0317%4 Jan →
anubis8–130.0018%2 Jan →
ancient10–13-0.0420%2 Jan →
ancient13–90.0217%1 Jan →
anubis4–13-0.0713%1 Jan →
dust213–9-0.0128%1 Jan →
ancient13–3-0.0214%1 Jan →
ancient7–13-0.0616%1 Jan →
dust29–130.0127%1 Jan →
dust213–20.0328%30 Dec →
ancient10–130.0116%30 Dec →
inferno13–9-0.0611%30 Dec →
overpass13–9-0.0013%30 Dec →
dust29–130.0019%28 Dec →
anubis11–13-0.0516%21 Dec →
dust24–13-0.0827%21 Dec →
ancient9–13-0.0323%21 Dec →
dust211–130.0915%20 Dec →
ancient13–20.0132%20 Dec →
overpass3–13-0.0414%20 Dec →
ancient16–140.0013%19 Dec →
dust213–40.0343%19 Dec →
dust213–11-0.0219%19 Dec →
nuke13–5-0.0515%18 Dec →
dust213–6-0.0231%18 Dec →
train8–13-0.1020%18 Dec →
ancient8–13-0.0137%9 Nov →
dust213–9-0.0612%26 Oct →
train9–13-0.0532%26 Oct →
overpass13–40.0629%26 Oct →
inferno2–13-0.0911%25 Oct →
dust26–13-0.0518%25 Oct →
ancient10–130.0325%25 Oct →
dust28–13-0.0315%25 Oct →
train9–13-0.0150%24 Oct →
overpass5–130.0143%24 Oct →
dust213–10-0.0118%24 Oct →
dust213–80.0424%23 Oct →
ancient13–9-0.0124%23 Oct →
dust28–13-0.0611%23 Oct →

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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