Koshsi builds data-driven prediction tools for the world’s most popular sports. We combine historical performance, matchup context, and current conditions to generate rational outcome probabilities — with clear comparisons you can understand in seconds.
Important: Koshsi does not guarantee outcomes. We provide AI-based analysis for informational use only. See Responsible Use and Prediction Accuracy.
Start with a sport hub. Each hub links to its predictor tool, matchup analysis, and daily previews.
A consistent framework that turns messy sports data into clean, comparable probabilities.
We don’t treat games like coin flips. MatchUp Technology weighs context like form, conditions, and matchup dynamics.
See the “why” behind a probability: key factors, strengths, and signals—presented clearly and consistently.
Football and MMA are not the same. Each tool uses sport-appropriate indicators while keeping a unified output format.
Outcomes are uncertain. We focus on rational likelihoods and avoid “guaranteed” claims by design.
MatchUp is a constraint-driven calculation framework that turns a fixture into an opponent-relative signal map — then forces the AI to reason inside that map. It’s not “pick a winner.” It’s measure deltas → resolve conflicts → shape probability.
Δ = [ form, attack, defense, availability, motivation ]
output = shape( Δ, interactions, uncertainty ) → { Home, Draw, Away }
The result is a technical, repeatable workflow: the same inputs follow the same reasoning path, contradictions are surfaced (not ignored), and outputs remain explainable — not theatrical.
What MatchUp evaluates
Signals that matter — expressed as opponent deltas (Δ).
MatchUp doesn’t promise certainty. It produces a probability profile you can inspect — with the reasoning visible, and uncertainty treated as a first-class signal.
High-level process you can safely explain without revealing proprietary details.
Pull in history, form momentum, and opponent context — then frame the fixture as a head-to-head problem (not isolated stats).
Signals are normalized into comparable factors, then expressed as deltas between opponents (Form Δ, Attack Δ, Defense Δ, Availability Δ, Motivation Δ).
The engine synthesizes an outcome distribution (1X2) with confidence ranges and a clear “reasoning trail” — probabilities only, never guarantees.
Manual subscription flow for launch. Swap to Stripe later without redesign.
Koshsi is a subscription-based product. Your plan unlocks the premium MatchUp engine, including full analysis cards, deeper matchup breakdowns, and gated insight tools.
Important: To use Koshsi, you must provide your own OpenAI API key.
We don’t run AI calls on your behalf. All predictions are processed using your own OpenAI account.
This is one of Koshsi’s biggest strengths. You see exactly what you spend on AI usage, you can set limits directly in OpenAI, and we never add hidden markups or per-prediction fees.
Your subscription pays for our MatchUp formula, analysis framework, and product experience — not for tokens. You pay OpenAi separately and you only pay for what you use.
Read more about our "Bring Your Own Key" (BYOK) policy or quickly learn how to get your own unique OpenAi API Key
Manual activation for launch. You can cancel at any time.
Focused, premium predictions — without friction. Ideal if you want quality analysis and a clean workflow.
These pages are your “authority moat” in a niche full of hype.
Constraint-driven matchup analysis. Opponent deltas, factor isolation, and probability shaping — engineered, not improvised.
Where algorithms outperform intuition — and where human judgment still matters. A realistic comparison, not an AI sales pitch.
Clear stance: informational probabilities only. No guarantees, no “fixed match” content.
What accuracy means, how to interpret it, and why uncertainty is part of sport.
High-level explanation of signals and modeling without revealing proprietary details.
Koshsi is an AI-powered sports prediction platform focused on probability-based analysis, not guarantees. Our tools help users compare teams, understand matchup dynamics, and interpret likely outcomes in football and other sports.
Koshsi is built for users who want a calm, technical workflow for match analysis. We do not publish “fixed match” content, and we do not claim guaranteed wins. Instead, we produce structured probabilities and explain the signals behind them.
Most “AI match prediction” tools simply ask an AI to pick a winner. Koshsi uses a constrained framework called MatchUp Technology. MatchUp isolates key factors (form, attack, defense, availability, motivation), evaluates each as an opponent-relative signal, and then synthesizes a probability lean while surfacing uncertainty.
This constraint-driven method reduces generic outputs and makes predictions easier to inspect and compare. It’s designed to behave like a system — not a story generator.
Koshsi runs on BYOK (Bring Your Own Key). To use the predictor, you provide your own OpenAI API key. This keeps costs honest and transparent: you can see usage directly in OpenAI, set limits there, and avoid hidden markups.
Your subscription pays for our MatchUp framework and product experience — not per-prediction token charges.
AI and human analysts fail in different ways. AI can be consistent and fast when constrained, while humans bring context and accountability. Koshsi is designed as decision support: structured analysis first, judgment second.
Note: Koshsi provides informational analysis and probabilities only. Outcomes are uncertain and users remain responsible for their decisions.
