Duskline Project 4–5 Palegate Athletics — match analytics

Rainbow Six SiegeIronreach Siege Open

Jun 12, 12:19 PM · online · BO1

Duskline Project

Palegate Athleticswinner

coverage: full telemetry

118 events stored

Box score

bank

Duskline Project

Box score for Duskline Project
Player	operator	K	D	A	ADR	HS%	xDuel	Duel+	RWPA	Src
yenorz	op_lancer	8	6	0	96	13	0.54	3.7	1.05	SUBMITTED
paxdak	op_roamer	6	7	1	74	50	0.58	2.5	0.65	SUBMITTED
ravil	op_roamer	6	6	0	77	33	0.54	2.7	0.60	SUBMITTED
toril	op_lancer	3	7	2	39	0	0.55	1.3	0.35	SUBMITTED
kalor72	op_breacher	3	6	0	40	67	0.45	1.7	0.55	SUBMITTED

Palegate Athletics

Box score for Palegate Athletics
Player	operator	K	D	A	ADR	HS%	xDuel	Duel+	RWPA	Src
fenvax	op_warden_a	9	5	8	112	78	0.55	4.0	0.88	SUBMITTED
zephys	op_shield_d	9	5	0	117	11	0.60	3.6	1.07	SUBMITTED
kalren	op_anchor	6	5	2	86	50	0.60	2.4	0.76	SUBMITTED
nalun	op_lancer	6	5	1	72	50	0.57	2.6	0.67	SUBMITTED
syleth	op_striker	2	6	0	24	50	0.56	0.9	0.22	SUBMITTED

xDuel/Duel+/RWPA are MODEL from telemetry (model versions on hover in the glossary) — conventional columns carry their per-line source label.

Win probability

Duskline Project perspective · round_wp baseline model

Round win probability Duskline Projectchance to win each round (resets each round)

Round-level model (round_wp, baseline). The probability resets each round; the line breaks at every round boundary. See the model card for calibration.

Round timeline

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blue = defense-side win, orange = attack-side · ○ elim · ◆ objective · ◷ time

Hardest duels won

lowest pre-fight win probability, converted

Hardest duels won this segment
Rnd	Winner	Victim	xDuel	Context
5	kalor72	syleth	24%	r6_shotgun
7	fenvax	toril	31%	r6_smg
3	yenorz	syleth	31%	r6_pistol
5	ravil	nalun	39%	r6_pistol
4	kalor72	kalren	41%	r6_smg · HS
3	yenorz	nalun	41%	r6_shotgun
9	zephys	kalor72	41%	r6_shotgun
1	yenorz	kalren	42%	r6_smg

Data provenance

artifacts, parsers, models

Basic stats: synthetic_fixture SUBMITTED
Parser: synthetic-sim@1
Duel model: xduel_r6@0.1.0
WP model: round_wp_cs2@0.1.0 (baseline — see model cards)
Mean event confidence: 100.0%