- Overtime (OVER) research overview
- Historical market behavior
- YearBull metric interpretation
- Market structure and supply
- Key risks and limits
- Primary sources and review scope
- Overtime (OVER): How Its Onchain Sportsbook Model Is Designed to Work
- Overtime positions sports prediction markets onchain
- The pool-versus-peer model is the core market structure
- The proprietary AMM is intended to provide pricing and liquidity
- Smart contracts and oracles are presented as the settlement foundation
- OVER’s role and user-facing economics remain unspecified
- Recorded market history adds context without explaining the product
- Key takeaways
- Risks and unresolved questions
- YearBull Rank overview
Overtime (OVER) research overview
Overtime (OVER) is tracked by YearBull under the source identifier overtime. Source categories place the asset in the DeFi Cryptocurrencies universe, with additional labels including Gambling (GambleFi), Sports, Decentralized Finance (DeFi). Category labels describe market context; they do not prove project activity, adoption, or investment quality.
Market structure and supply
Observed market capitalization is about $12.47 million and reported 24 hour volume is about $17.2 thousand. That volume equals 0.14% of market capitalization in the dated snapshot. Current circulating supply is 54,883,062. The recorded maximum supply is 69,420,000. Circulating supply changed -10.3% across the available historical window. Reported volume and supply fields can change through source revisions, issuance, burns, migrations, or venue coverage.
Key risks and limits
Smart contract faults, oracle dependencies, governance concentration, liquidity migration, incentives, and regulatory access can change protocol usage. Historical metrics describe the available YearBull record; they do not predict future returns. Contract addresses, network support, custody, and venue availability should be verified before use.
Primary sources and review scope
YearBull methodology | Official project website | Technical documentation or whitepaper | Source repository. Identity, categories, supply, and historical market fields were reviewed from locally stored source records on 2026-09-12. The live analytical snapshot may be newer than this editorial review.
Overtime (OVER): How Its Onchain Sportsbook Model Is Designed to Work
Overtime presents a decentralized sports prediction-market ecosystem built around pool-versus-peer liquidity, an automated market maker, smart contracts and decentralized oracles across Ethereum-linked networks. project materials explains its market architecture, but leaves several practical and token-specific questions open.
Overtime positions sports prediction markets onchain
Overtime describes itself as a fully decentralized sportsbook ecosystem for onchain sports prediction markets. Its stated design is non-custodial and permissionless, meaning the project presents users as interacting with smart contracts rather than handing funds to a central sportsbook operator.
project materials places Overtime in the overlap between gambling, sports, decentralized finance and prediction markets. Its recorded ecosystem categories also include Ethereum, Arbitrum, Optimism and Base, while the listed networks are Ethereum, Base, Arbitrum One and Optimistic Ethereum. These records identify the environments associated with the project, but they do not by themselves establish equal functionality or activity on each network.
The pool-versus-peer model is the core market structure
Overtime says its liquidity layer uses a Pool-vs-Peer model. The description does not provide the full rules for how this structure handles user positions, settlement, exposure or payouts, so the model should be understood as a named architectural approach rather than a fully documented operating specification.
The pool element indicates that liquidity is intended to support market participation without relying solely on a direct counterparty for every position. The peer element points to a market structure in which users may take opposing sides. However, public materials does not state how liquidity is supplied, how risk is distributed, or what happens when a market has an imbalance between opposing positions.
The proprietary AMM is intended to provide pricing and liquidity
The project states that a proprietary automated market maker continuously provides pricing and deep liquidity for its markets. In general terms, an AMM is a smart-contract-based mechanism that uses programmed rules to quote prices and facilitate transactions instead of depending on a traditional order book. For Overtime, public materials identifies the AMM as part of the Pool-vs-Peer liquidity layer, but does not disclose its formula, fee model, collateral requirements or price-adjustment rules.
Those missing details matter because an AMM’s design affects execution, market depth and the distribution of trading or liquidity risk. The source also does not specify who can provide liquidity, whether liquidity positions have separate tokens or incentives, or how the system manages volatile sports markets before and after an event.
Smart contracts and oracles are presented as the settlement foundation
Overtime states that transactions are secured through immutable smart contracts and decentralized oracle networks. The intended role of the contracts is to enforce the platform’s rules without a central authority, while the oracles are presented as the source of external information needed to determine sports-market outcomes.
project materials does not name the oracle networks, explain how many data sources are used, or describe procedures for conflicting, delayed or unavailable results. It also does not identify the deployed contract addresses, audit history, upgrade controls or emergency mechanisms. As a result, the project’s trust-minimization claim depends on technical details that require separate verification.
OVER’s role and user-facing economics remain unspecified
The asset is identified as Overtime’s token, with the symbol OVER, but project materials does not explain what the token does. It does not state whether OVER is used for governance, staking, liquidity incentives, fee payment, access, collateral, market settlement or another function.
That omission limits the ability to describe the relationship between the token and the sportsbook itself. public materials also does not provide token supply, distribution, emissions, unlock schedules, contract details or the rights attached to holding OVER. These are central project facts rather than assumptions that can be inferred from the token’s name or the platform’s DeFi classification.
Recorded market history adds context without explaining the product
YearBull’s recorded historical observations cover 30 December 2025 through 14 September 2026. During that window, the asset recorded a 19.98% observed 30-day return and a 75.54% observed 90-day return, while its best and worst sequential ranks were 58 and 4,418. Those figures describe historical market behavior, not the operation, adoption or effectiveness of Overtime’s sportsbook.
The same record shows a dominant Early cycle label, an average Bull Score of 58.1, and a 20.36% drawdown from the window high. Historical observations can help frame how the token behaved during the recorded period, but they do not establish demand for prediction markets, liquidity quality, oracle reliability or the practical value of the OVER token.
Key takeaways
- Overtime presents a non-custodial, permissionless sportsbook architecture based on onchain sports prediction markets.
- Its named liquidity design combines a Pool-vs-Peer structure with a proprietary automated market maker.
- Smart contracts and decentralized oracle networks are described as the basis for trustless transaction and outcome handling.
- The project is recorded across Ethereum, Base, Arbitrum One and Optimistic Ethereum, although network-specific functionality is not detailed.
- public materials does not explain OVER’s utility, token economics, contract controls or adoption.
Risks and unresolved questions
- The AMM’s pricing formula, fees, collateral rules, liquidity-provider economics and exposure-management process are not described.
- Oracle identities, data sources, dispute procedures and handling of delayed or conflicting sports results remain unknown.
- No audit information, contract addresses, upgrade permissions or emergency controls are provided in project materials.
- OVER’s purpose, supply structure, distribution, emissions and relationship to market participation are unspecified.
- public materials does not establish user adoption, market depth, liquidity continuity, regulatory treatment or the availability of each named network.
YearBull Rank overview
YearBull Rank now for overtime: #2746.
Rank change (daily snapshots).
Reading rule: a smaller rank number indicates stronger placement.
- 7d window (2026-10-21): #2726 → #2746 (down by 20).
- 30d window (2026-09-28): #3888 → #2746 (up by 1142).
Rotation context: If the line is range-bound, treat changes as relative, not absolute.
Route context: If rank moves sharply, it may reflect venue mix changes rather than fundamentals.
Risk view: If it improves then retraces fast, treat it as rotation pressure.
Liquidity view: If the curve jumps, check whether the cohort moved too (relative effects).
Practical note: stability often signals more than spikes.
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. A smaller rank number indicates a stronger position at that moment.

