RB · Chicago Bears
Questionable · Toe. Sleeper player record updated Nov 5, 9:05 PM UTC. nflverse depth rank: 2 (Running Back).
Structured status · higher confidence · Fresh within the seven-day observation window.Kyle Monangai is a 24-year-old running back in FairPlay's depth tier at rank #203, with a value of 1,676. For Chicago against the Jets, Week 4 31 touches rose from the prior usable row. The decision is whether that workload supports the current dynasty value. Week 2: 10 carries, 2 targets, 12 touches, 34% snaps, and 4.8 yards per touch. Week 3: 10 carries, 0 targets, 10 touches, 31% snaps, and 3.1 yards per touch. Week 4: 30 carries, 1 target, 31 touches, 54% snaps, and 4.8 yards per touch. The roster snapshot lists Active, which is an administrative status and not a promise of future volume.
Generated from FairPlay and nflverse data · Reviewed November 6, 2026 · Editorial policyFairPlay's near the model ceiling market proxy (97) is above its usable production input (76). This is a FairPlay input comparison, not a verified external ADP or market price. roster status is near the model ceiling; market proxy is the next strongest input. draft capital is very low, which keeps the recommendation conditional.
The next usable row for Chicago against the Jets needs to show whether week 4 31 touches was a one-week result or part of a stable role. Watch touches and yards per touch.
The same player can require a different decision depending on your competitive window and the liquidity of the return.
A contender can use Kyle Monangai when the recent workload helps a real starting decision; price the asset for the current title window, not for an indefinite workload. Keep a replacement option because backfield usage can move quickly.
A rebuilder can retain Kyle Monangai's younger running back window, but should sell if an offer prices more certainty than 3-week observed sample supports. The market-over-production gap is the cleanest point to test a liquidity gain.
FairPlay values Kyle Monangai at 1,676. FairPlay's market proxy sits ahead of its production input by 21 points. Treat that as a model comparison, not a verified ADP or trade price.
Week 2: 10 carries, 2 targets, 12 touches, 34% snaps, and 4.8 yards per touch. Week 3: 10 carries, 0 targets, 10 touches, 31% snaps, and 3.1 yards per touch. Week 4: 30 carries, 1 target, 31 touches, 54% snaps, and 4.8 yards per touch. This is observed box-score usage and offensive-snap context only.
FairPlay's near the model ceiling market proxy (97) is above its usable production input (76). This is a FairPlay input comparison, not a verified external ADP or market price.
FairPlay value 1,676 · Overall rank #203 · Market proxy 97 · Historical production input 76These are negotiation scenarios calibrated to the current FairPlay tier, not promises that every league will price the assets identically.
Kyle Monangai ↔ Audric Estime (calculator comparison, not a quote)
Audric Estime has an Active roster status and a usable local usage row. Compare each player's FairPlay value and current workload in the calculator. This page does not claim that the swap is even in an outside market.
Kyle Monangai ↔ Gunnar Helm (calculator comparison, not a quote)
Gunnar Helm is an Active tight end with a usable local usage row. Compare the two values in the calculator, then decide whether the positional change helps this roster. No outside-market adjustment is asserted.
For Chicago against the Jets, Week 4 31 touches rose from the prior usable row. The decision is whether that workload supports the current dynasty value. FairPlay's strongest scored input is roster status (100), while draft capital is the main limitation. The usage record can test that read but cannot verify an external price or future outcome.
A second verified row that materially changes touch volume and yards per touch from Week 4 would test whether Kyle Monangai's latest role is repeatable. Separately, a material draft capital change or a different market-proxy/production-model gap would require a new FairPlay read.
Kyle Monangai is age 24, with a career-window input score of 90/100 for RBs.
The search-rank proxy is 97/100 and the historical NFL production input is 76/100. These are separate model inputs, not verified trade prices or current-season performance.
Historical production, opportunity and efficiency are normalized within the RB statistical group. The market proxy uses the full player pool; career-window and draft-capital inputs use their own scales.
Normalized model input scores, not probabilities. The production model uses completed 2020–2025 NFL seasons. The current-season usage file is a separate evidence layer. The career-window and draft-capital scales are not empirical percentiles.
Sleeper search-rank proxy is the strongest part of Kyle Monangai’s current profile at 97/100. Draft-capital input is the clearest source of downside at 20/100. For trade decisions, compare that strength-and-risk mix with your roster timeline rather than relying on the overall value alone.
Comparable values to guide your offers.
Start with Kyle Monangai in the dedicated Superflex calculator, then add the other side of the offer.