Trading activity:
Reported 24-hour volume equals 2.46% of market capitalization. The local markets snapshot lists Bybit, Kraken and Fluxion among venues with observed trading activity.
YearBull indicators:
YearBull Rank #6,230. Bull Score 27/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h -8.02% · 7d -11.46% · 30d -36.61%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-10-07.Data history: 89 daily observations available in the latest 90-day window.
Methodology responsibility:
YearBull’s analytical methodology and presentation rules are developed and maintained by
Alan Zelvin, Founder & Lead Crypto Researcher.
This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.
What is Scor (SCOR)?
Source description
“SCOR is an on-chain sports engagement protocol that transforms both fan participation and professional sports IP into programmable digital assets. On the fan side, SCOR-ID is a permanent, soulbound on-chain identity that records engagement, skill, and verified fandom across platforms. On the IP side, SCOR enables licensed teams, leagues, and athletes to deploy programmable sports IP that powers games, collectibles, and competitive experiences. Over 2,000 professional athletes, teams, and leagues have opted in, validating SCOR as core infrastructure for licensed sports engagement. Through skill-based gameplay, progression mechanics, and sustainable token economics, SCOR is designed for long-term utility, cross-chain expansion, and rewards driven by genuine participation.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
Scor (SCOR) FAQ
How does SCOR-ID function within the SCOR ecosystem?
The project presents SCOR-ID as a permanent, soulbound on-chain identity for fans. It is described as recording engagement, skill, and verified fandom across platforms, which may allow participation history to carry between different experiences. Because it is soulbound, the identity is characterized as non-transferable rather than an asset intended for resale. The project does not specify the exact verification standards or data fields used.
How does SCOR turn sports intellectual property into digital experiences?
SCOR says licensed teams, leagues, and athletes can deploy programmable sports intellectual property through its protocol. The project links this functionality to games, collectibles, and competitive experiences, presenting sports rights as components that can be incorporated into interactive digital products. The precise licensing arrangements, deployment process, and technical permissions for each rights holder are not specified.
What role does skill-based gameplay play in SCOR’s model?
The project positions skill-based gameplay as a central part of participation and progression. Rather than describing engagement solely as passive fandom, SCOR connects player skill and advancement mechanics with its broader rewards model. The stated goal is to support rewards tied to genuine participation, although the rules for measuring skill, determining progression, and distributing rewards are not detailed.
Which sports organizations does SCOR say have opted into the protocol?
SCOR states that more than 2,000 professional athletes, teams, and leagues have opted in, presenting this participation as validation of the protocol’s role in licensed sports engagement. The claim covers several types of sports entities but does not identify them individually. It also does not explain the scope of each participant’s involvement or whether all relationships remain active.
How is SCOR positioned for use across multiple networks?
SCOR is associated with Base and Mantle and describes itself as designed for cross-chain expansion. In practical terms, the project presents this as a way to extend sports engagement experiences beyond a single blockchain environment. However, it does not specify which functions currently operate on each network, how assets or identities move between them, or what interoperability mechanism is used.
Scor metric comparison
This comparison is a stored snapshot generated 2026-10-06 06:30 UTC from 265 daily observations available from 2025-12-30 through 2026-10-06. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.
Metric
Snapshot
30d before
90d before
Change vs 30d
Universe percentile
Price
$0.00854369
$0.0121
$0.0130
-29.4%
n/a
Market cap
$3.83M
$5.43M
$5.84M
-29.4%
P78.1
YearBull Rank
#5,698
#2,868
#4,599
Lower by 2,830
P36.5
Bull Score
30/100
31/100
34/100
-1.0 pts
P22.5
Turnover
0.64%
3.30%
1.79%
-2.7 pts
P50.5
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 2.71%; distance from the highest local daily price -73.2%; circulating supply change +41.1%. These measurements are descriptive and do not predict future direction.
YearBull Rank on this page
YearBull Rank now for scor: #6230.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: lower is better in this ranking.
7d window (2026-09-30): #6025 → #6230 (down by 205).
30d window (2026-09-07): #2856 → #6230 (down by 3374).
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Lower rank numbers correspond to stronger relative placement.
Liquidity angle: If the curve improves and holds, it is usually more structural. rank can move when liquidity redistributes across the cohort.
Trading footprint: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. consolidation can make rank more stable.
Regime context: If the 30d is noisy, increase the lookback to avoid over-reading. cycle shifts often show up as slope changes, not spikes.
Risk posture: If the curve is step-like, it may be reacting to discrete inputs. ranking moves can reflect regime shifts rather than one-off events.
Editorial note:
This analysis was prepared by the YearBull research team under the direction of
Alan Zelvin,
Founder and Lead Crypto Researcher.
The assessment follows YearBull’s internal research methodology and editorial standards.
Methodology ·
Editorial Policy
Related Research
Continue with contextually connected profiles and category data:
Stored venue snapshot. Markets last checked: 2026-07-26. Next refresh window: around 2026-10-24. Venue listings and volumes are stored snapshots, not live quotes.
