Advanced Handicap Systems in TT Cup Creator

Method Based On Starting Point Update Behaviour Weighting Evidence / Stability Best Use
Elo V1
(Points + Division Prior)
Average result (0–1) from points; symmetric pairings. Base 1.00 + division prior (evidence-damped) + small experience lift. Iterative Elo with evidence-based K (low evidence moves more). Points-based weight, boosted and capped (max 2.5). Evidence = points/25; flags low evidence (< 3). Best when division strength should influence starting ratings.
Elo V2
(Points + Games Played)
Average result (0–1) from points; symmetric pairings. Base 1.00 + GamesPlayed × 0.03. Iterative Elo with games-based K. Points-based weight with non-linear scaling. Stability driven by games played; flags < 3 games. Simple model, ideal when divisions are not present.
Glicko-2
(Points + Uncertainty)
Point share per matchup; symmetric aggregation. μ from averages (P10–P90), plus uncertainty (ϕ). Updates μ, ϕ and volatility (σ) per rating period. Points-based weight, boosted and capped (max 2.5). Flags low evidence or high uncertainty (ϕ > 0.85). Best for uneven data where uncertainty matters.