Cadee

Cadee — CS2 Stats

76561198106576043[U:1:146310315]Steam profile ↗✓ No bans

664Tracked matches68%Win rate2020Tracked since
2,011Hours in CS0Hrs last 2 wks
CSDB Rating6.2 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 664 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,982 +607 15 Feb – 20 May · 27 days played
14,44718,537peak 18,53715 Feb20 May
18,537Peak Premier in tracked matches
41Days played since 2026-02-15

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches1——
Win rate100%——
K/D2.33——
Headshot %43%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,993), 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 rate49.5%42.7%43.8%above
Shot accuracy12.1%11.3%12.0%meets
Kill/death ratio1.100.991.02above
Match win rate42.3%43.9%44.7%2.4% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGCadeeFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim55
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLWLWWLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.1pp headshot accuracy · +12ms reaction

Win rate 0pp 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 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 558ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

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 (+1.6 against its own average).

Aim5.5
Utility6.6
Positioning5.9
Opening Duels6.1
Clutch1.4

Effective flashes

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

m0NESY

Plays most like m0NESY 73% 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. 604ms 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

Aim5.5
Positioning5.9
Utility6.6
Mechanics5.5
Opening Duels5.6
Win Impact10.0

Composite 6.2/10 (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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time603ms−31ms
first ⅓ avg 634ms → last ⅓ avg 603ms
Headshot accuracy20.1%+2.9%
first ⅓ avg 17.2% → last ⅓ avg 20.1%

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

0.13Best match rating · 13–6 · inferno, 18 Mar →
44%Best headshot accuracy · 5–13 · cache, 18 May →
445msFastest reaction time · 13–2 · inferno, 22 Aug →
13–2Biggest win · inferno, 22 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 6mirageWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A3922–1756%0.02
infernoA2212–1055%0.01
nukeB126–650%0.03
mirageD80–80%-0.01
anubisS64–267%0.01
cache—43–175%-0.02
overpass—42–250%0.03
ancient—22–0100%0.03
vertigo—10–10%-0.03
sanctum—11–0100%-0.10
train—10–10%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,021Lifetime kills
1.10K/D · Top 50% of Level 4 players
3,352Matches
42.3%Match win rate
49.5%Headshot % · Top 25% of Level 4 players
12.1%Shot accuracy · Top 50% of Level 4 players
10,499MVPs
1,184Hours (in match)
2,917Bombs planted
985Bombs defused

Most-used weapons

AK-4725,089
AWP7,164
P901,766
UMP-451,530
FAMAS1,296

Lifetime map wins

10,225inferno
3,447vertigo
3,178dust2
1,637nuke
1,479train
204cbble
201office
52lake

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

Faceit stats

Combat

85Matches
56%Win rate
1.28Avg K/D
99.1ADR
39%Headshot %

Clutches & streaks

27%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1369%1.3119.2
Mirage1145%1.0015.7
Ancient650%1.1617.5
Nuke450%1.5719.5
Vertigo333%0.6712.0
Dust22100%1.7420.5
Anubis2100%1.7620.0
Overpass1100%0.8218.0

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.

19.6%Headshot accuracy
31.5%Accuracy (enemy spotted)
32.2%Spray accuracy
74.7%Counter-strafing
10.7°Preaim
604msReaction time
53.7%T opening success
51.1%CT opening success
0.73Enemies flashed / flash
12.1%Flash assists
11.63HE damage / grenade
9.23Flashes / 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.

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–20.0116%22 Aug →
dust211–130.0219%14 Aug →
dust213–30.0718%11 Aug →
mirage10–13-0.0112%11 Aug →
dust213–100.0325%11 Aug →
inferno13–90.0218%9 Aug →
vertigo3–13-0.0313%27 May →
cache13–6-0.0324%20 May →
dust23–13-0.059%20 May →
nuke14–16-0.0217%20 May →
dust23–13-0.099%20 May →
cache13–5-0.0319%20 May →
mirage7–13-0.0127%19 May →
cache5–13-0.0244%18 May →
dust213–11-0.0714%13 May →
dust213–90.0325%13 May →
cache13–5-0.027%2 May →
inferno13–11-0.0319%25 Mar →
inferno12–120.0319%22 Mar →
inferno12–120.0419%22 Mar →
inferno8–8-0.0538%21 Mar →
dust213–110.0217%21 Mar →
inferno13–80.0118%19 Mar →
dust213–60.0317%19 Mar →
ancient13–20.0119%18 Mar →
anubis13–40.0919%18 Mar →
nuke13–5-0.0021%18 Mar →
inferno13–60.1335%18 Mar →
dust213–90.0719%17 Mar →
mirage7–130.0129%17 Mar →
overpass13–20.0917%17 Mar →
overpass9–13-0.0424%16 Mar →
dust213–40.0215%16 Mar →
inferno6–9-0.0225%16 Mar →
inferno6–9-0.0314%15 Mar →
nuke9–20.1113%15 Mar →
dust21–13-0.0217%15 Mar →
dust21–13-0.0316%15 Mar →
dust213–50.1014%15 Mar →
dust213–40.1123%15 Mar →
sanctum9–4-0.1013%14 Mar →
inferno9–4-0.0917%14 Mar →
anubis11–13-0.048%13 Mar →
ancient16–130.0612%13 Mar →
dust26–13-0.0523%13 Mar →
dust29–13-0.0227%13 Mar →
dust213–80.1117%12 Mar →
inferno13–70.0228%12 Mar →
dust211–130.0119%12 Mar →
dust213–90.0532%12 Mar →
dust26–13-0.0719%12 Mar →
dust213–40.1223%12 Mar →
dust213–100.0213%12 Mar →
dust213–10-0.018%11 Mar →
dust210–130.0723%11 Mar →
nuke16–140.0513%11 Mar →
nuke13–70.0322%10 Mar →
overpass10–130.0321%10 Mar →
dust213–70.0613%9 Mar →
inferno13–90.0118%9 Mar →
nuke11–130.0812%9 Mar →
dust213–9-0.0117%8 Mar →
anubis13–11-0.0212%8 Mar →
inferno4–13-0.0212%7 Mar →
nuke6–130.0321%7 Mar →
mirage6–13-0.0227%7 Mar →
dust25–13-0.0034%6 Mar →
inferno7–130.0428%6 Mar →
mirage5–13-0.0123%5 Mar →
inferno13–80.0820%5 Mar →
inferno13–90.0415%4 Mar →
nuke4–130.0420%4 Mar →
inferno10–13-0.0510%3 Mar →
nuke13–11-0.0211%3 Mar →
mirage10–13-0.0115%3 Mar →
inferno7–130.0227%2 Mar →
dust213–70.0922%2 Mar →
nuke13–70.0917%1 Mar →
inferno10–130.0621%27 Feb →
dust213–40.0219%27 Feb →
dust213–90.0113%26 Feb →
overpass13–50.047%26 Feb →
inferno13–80.0422%26 Feb →
dust213–90.0324%26 Feb →
dust212–160.0316%25 Feb →
dust29–13-0.0225%25 Feb →
anubis10–13-0.0111%23 Feb →
anubis13–110.0613%21 Feb →
anubis8–3-0.0123%21 Feb →
mirage11–13-0.028%21 Feb →
inferno13–80.0316%21 Feb →
dust213–160.0212%20 Feb →
nuke11–13-0.0311%20 Feb →
dust213–6-0.0017%20 Feb →
dust29–130.0813%17 Feb →
mirage15–150.009%16 Feb →
dust210–13-0.0322%16 Feb →
nuke8–130.0325%16 Feb →
train11–130.0319%16 Feb →
dust214–160.0612%15 Feb →

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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