Beta preview·You're viewing sample data. Connect Steam to load your real CS2 stats, inventory and Mate Score.
cs2mate
Connect Steam

Winner · -Pixel666-'s team

1

86 kills · 5 players

de_inferno · 36 min

1 rounds · 2025-06-15

Europe 5v5 Queue

Nullfang's team

0

87 kills · 5 players

Top fragger

FeelThePalN1

22 kills

Top impact

-Pixel666-

100 ADR

Util damage

Kanjozoku

555 HP

Death map

We can parse this match's demo and plot every death on a 2D radar — full kill timeline, side filter, player highlight. Parsing takes 30-60s the first time (the file is 100-300 MB); subsequent visits are instant from cache.

Demo source: FACEIT's public CDN. We don't store the raw demo — only the parsed event list (deaths, rounds, players) gets persisted, around 50-500 KB per match.

-Pixel666-'s team

8 · 5

FeelThePalN1

L62

22/17/3 · 1926 dmg

ADR

80

HS%

36

K/D

1.29

Entry 1/0Util 146Pistol 1

--Xiko--

L44

19/18/9 · 2204 dmg

ADR

92

HS%

58

K/D

1.06

Entry 2/0Multi 3Util 61

-Pixel666-

L93

18/17/7 · 2401 dmg

ADR

100

HS%

44

K/D

1.06

Entry 5/0Multi 1Util 433AWP 8Pistol 3
HS % -10%ADR +28%

Infi_Sasuke

L43

18/16/2 · 1721 dmg

ADR

72

HS%

44

K/D

1.12

Entry 1/0Multi 1Util 109Pistol 5

Kanjozoku

L81

9/19/7 · 1547 dmg

ADR

65

HS%

44

K/D

0.47

Entry 1/0Multi 1Util 555AWP 2Pistol 5

Nullfang's team

4 · 7

roleksy

L74

20/19/6 · 2226 dmg

ADR

93

HS%

45

K/D

1.05

Entry 8/0Multi 1Util 265AWP 5Pistol 3

geo1510

L82

20/16/7 · 2166 dmg

ADR

90

HS%

40

K/D

1.25

Entry 2/0Multi 2Util 116AWP 4Pistol 1

Geoida

L61

18/17/9 · 1870 dmg

ADR

78

HS%

22

K/D

1.06

Entry 1/0Util 522AWP 1Pistol 3

Dream_Shy

L53

15/17/7 · 1912 dmg

ADR

80

HS%

60

K/D

0.88

Entry 3/0Util 350Pistol 5

Nullfang

L71

14/17/5 · 1808 dmg

ADR

75

HS%

0

K/D

0.82

Multi 1Util 303

Half-by-half

First half

8 · 4

Second half

5 · 7

Numbers come from FACEIT's match-stats API directly — the scoreboard is the source of truth. Weak-spot deltas compare this match's metric against each player's lifetime FACEIT average; we flag anything ≥8% off. For death-location heatmaps + crosshair-placement analysis (which require demo parsing) use the "Death heatmap on Scope.gg" link in the header.