Women's Strawweight • 3 rounds • Small cage (25 ft) • Meta APEX

Shauna Bannon vs Nicolle Caliari

Women's Strawweight Bout • UFC Fight Night: Allen vs. Costa

Saturday, May 16, 2026 • 25 ft octagon (UFC Apex-style small cage) — less space to circle

Fighter • Odds source: BetOnline
Rangy switch striker • volume & composure
Fighter • Odds source: BetOnline
Chaos pressure • wrestling entries • subs
UFC Fight Night: Allen vs. Costa — official event poster (Shauna Bannon vs Nicolle Caliari)

Explore Detailed Fighter Profiles

Click on either the fighter's name or profile image for each fighter to access comprehensive UFC statistics including striking metrics, grappling data, clinch performance, complete fight history, offensive & defensive analytics, and round-by-round breakdowns.

Shauna Bannon

Shauna Bannon

7-2-0

🥋 Rangy switch-stance striker

Age:
32Prime
Height:
5'5"Taller
Reach:
65"+3" reach
Leg Reach:
36"Edge vs shorter entrant

Shauna Bannon

Fighter Metrics

Total UFC Fights
4
UFC Record
2-2
Current Streak
1 loss
Win Rate
77.8%
Finish Rate
42.9%
Avg Fight Duration
12:06
Victory Methods
Win Round Distribution
Nicolle Caliari

Nicolle Caliari

8-4-0

🎯 Finish-first pressure fighter

Age:
29Younger
Height:
5'3"Shorter
Reach:
62"−3" reach
Leg Reach:
35"Similar

Nicolle Caliari

Fighter Metrics

Total UFC Fights
2
UFC Record
0-2
Current Streak
2 losses
Win Rate
66.7%
Finish Rate
100%
Avg Fight Duration
9:54
Victory Methods
Win Round Distribution

📋 Last 5 Fights - Shauna Bannon

DateOpponentResultMethod
2025-10-04Sam HughesLSubmission - RNC (R2, 1:58)
2025-03-22Puja TomarWSubmission - Armbar (R2, 3:22)
2024-07-27Alice ArdeleanWDecision - Split (R3, 5:00)
2023-07-22Bruna BrasilLDecision - Unanimous (R3, 5:00)
2023-03-15Minna GrusanderWDecision - Unanimous (R3, 5:00)

📋 Last 5 Fights - Nicolle Caliari

DateOpponentResultMethod
2025-08-10Carli JudiceLTKO - Body Knee & Ground Strikes (R3, 1:30)
2025-01-11Ernesta KareckaiteLDecision - Split (R3, 5:00)
2024-09-10Corinne LaframboiseWSubmission - Armbar (R1, 4:45)
2024-05-18Daniela AntonelliWSubmission - RNC (R2, 3:34)
2024-02-24Carolina JiménezWSubmission - Armbar (R2, 4:51)

Technical Analysis

Technical Score

53/10051.5/100
Shauna
Nicolle
Shauna +1.4%

Cardio Score

66/10054/100
Shauna
Nicolle
Shauna +10.0%

Overall Rating

59.5/10052.75/100
Shauna
Nicolle
Shauna +6.0%
📊 Technical Score

Calculated as the average of Striking Composite (64 vs 48) and Grappling Composite (42 vs 55). Bannon's cleaner striking and defense pull the score up; Caliari's wrestling and submission threat pull it back toward a narrow overall gap.

💪 Cardio Score

Based on average fight duration, striking rate per minute, takedown rate, and finish rate. Measures cardiovascular endurance and ability to maintain pace throughout fights.

🎯 Overall Rating

Simple average of Technical Score and Cardio Score. Provides a holistic view of fighter capabilities combining skill level with physical conditioning and fight performance.

Striking Composite

64/10048/100
Shauna
Nicolle
Shauna +14.3%

Grappling Composite

42/10055/100
Shauna
Nicolle
Nicolle +13.0%
Advanced Analytics

Technical Radar Comparison

Visual comparison of key performance metrics between both fighters

Shauna Bannon
VS
Nicolle Caliari
Metrics Guide
👊
SLpMStrikes Landed/Min
🎯
Str AccStrike Accuracy
🛡️
Str DefStrike Defense
🤼
TD/15Takedowns/15min
📊
TD AccTD Accuracy
🚫
TD DefTD Defense
🔒
Sub/15Submissions/15min
Hover over the chart to see detailed values

📊 Detailed Statistical Comparison

Strikes Landed/Min
Advantage:Shauna (+24.9%)
4.32per min3.46per min
Shauna
Nicolle
Difference: 0.86per min
Striking Accuracy
Advantage:Shauna (+13.2%)
43%38%
Shauna
Nicolle
Difference: 5.00%
Striking Defense
Advantage:Nicolle (+17.8%)
45%53%
Shauna
Nicolle
Difference: 8.00%
Strikes Absorbed/Min
Advantage:Nicolle (+86.9%)
3.75per min7.01per min
Shauna
Nicolle
Difference: 3.26per min
Takedowns/15min
Advantage:Nicolle (+Infinity%)
0per 15min2.88per 15min
Nicolle
Difference: 2.88per 15min
Takedown Accuracy
Advantage:Nicolle (+Infinity%)
0%24%
Nicolle
Difference: 24.00%
Takedown Defense
Advantage:Shauna (+Infinity%)
40%0%
Shauna
Difference: 40.00%
Submissions/15min
Advantage:Nicolle (+42.9%)
0.7per 15min1per 15min
Shauna
Nicolle
Difference: 0.30per 15min

🥊 Fight Analysis Breakdown

🧩 Shauna Bannon Key Advantages

🎯Cleaner striking profile
4.32 vs 3.46 SLpM

Bannon lands at a higher rate with better accuracy (43% vs 38%) while absorbing far less (3.75 vs 7.01 significant strikes per minute). That damage profile is the clearest round-winning signal if she keeps enough distance — Caliari can post a decent defense percentage and still take visible contact because opponents find her in extended chaos phases.

📏Length & stance variety
+3" reach | Switch

Height and reach matter because Caliari must cross space to wrestle; every failed entry paid in long straight shots, teeps, and counters feeds Bannon's optics. Switching compounds timing reads on entries — Caliari already absorbs heavy volume, and longer weapons punish naked rushes even in a small cage.

📊UFC minutes & decisions
2-2 UFC sample

Bannon has already banked multiple UFC decisions and shown she can win layered fights. Caliari has never won by decision — if the fight becomes a minutes battle after the early storm, Bannon's scoring architecture is more bankable. Longer recent fight lengths (~12.1 vs ~9.9 minutes in our sample) support a 15-minute pacing edge.

⚠️ Unfavorable Scenarios

🤼Chest-to-chest grappling chains

Bannon is in trouble if Caliari closes distance without paying a striking tax — fence clinch, repeated mat returns, or scramble-to-back sequences erase reach. The nightmare chain is pressure → clinch → takedown attempt → scramble → back exposure → submission threat, mirroring the volatility in her Hughes loss (even if Caliari is a different type of grappler: more chaos than suffocating control).

🔻Attackable takedown defense

At ~40% takedown defense, Bannon cannot assume stuffs — the small cage helps Caliari force contact faster. If Bannon gets stuck defending ride positions or extended scrambles, her striking volume collapses and judges see Caliari's minute-stealing swings.

📋 Likely Gameplan

📐Length-first kickboxing

Open with jabs, teeps, long straights, and low kicks; lateral exits after clusters. Make Caliari shoot from suboptimal range, frame immediately in clinches, and avoid lazy kicks that can be caught. Body work matters — Caliari was recently stopped via knee-to-body and follow-up ground strikes; teeps, straight shots downstairs, and knees on breaks compound that history without requiring one-shot head power.

🧠Deny the grappling crescendo

She does not need to dominate wrestling — prioritize underhooks, quick resets, and punishing failed entries. Opportunistic subs (see the Tomar armbar) can lurk if Caliari overcommits; the macro goal is bankable stand-up minutes and visible volume for the judges.

🚀 Nicolle Caliari Key Advantages

🤼Grappling initiative
2.88 TD / 15

Caliari is the fighter more likely to force wrestling exchanges — 2.88 takedowns per 15 minutes with 1.0 submission attempts per 15. In a 25 ft cage she can crash distance quickly and chain attempts even when accuracy sits at only ~24% (failed shots still tax posture and stance).

💀100% finish wins
Sub + KO volatility

Every career win is a finish — she is built to create chaos and hunt the neck, arm, or back in scrambles. That matters against an opponent recently submitted by RNC: one dominant grappling stretch can flip optics even if she is losing striking minutes.

📦Small-cage pressure
25 ft geometry

Less lateral space helps the pressurer: Caliari can cut off resets, force early clinches, and turn scrambles into submission entries. Round 1 is disproportionately important — if she establishes grappling danger early, Bannon may fight more conservatively and blunt her own rhythm.

⚠️ Unfavorable Scenarios

🎯Range tax on entries

Caliari absorbs 7.01 significant strikes per minute — an extreme number against a 65"-reach striker who lands steadily. If early takedowns fail, she spends energy chasing a longer fighter who can touch her on every reset; that macro pattern favors decision losses or late defensive breakdowns.

📉No decision equity

0-2 in the UFC with zero career decision wins signals a finishes-or-bust portfolio. If Bannon survives the first grappling storms and keeps the fight methodological, Caliari lacks a proven Plan B on the scorecards versus a longer, cleaner volume striker.

📋 Likely Gameplan

🔥Forced pressure + chained shots

She cannot sit at range — feint to hide entries, use the small cage to cut off circles, and chain clinch → takedown sequences instead of spamming naked singles. Attacking subs off scrambles (armbars, RNC windows) keeps Bannon honest after failed shots.

⏱️Front-run the fight

Win condition is ugly work early: make Bannon carry weight, threaten subs before reads solidify, and avoid prolonged kickboxing phases where the damage column tilts. If minute ten hits without a dominant grappling sequence, the model swings sharply toward Bannon's pacing.

🎯 Fight Prediction Analysis

Data-driven prediction model based on statistical analysis

64%
Shauna Bannon Win Probability
Repeatable range striking, damage profile & decision toolbox
36%
Nicolle Caliari Win Probability
Live underdog via TD chains, scrambles & submission spikes

📊Detailed Analysis Summary

🏟️Cage Dynamics

The 25 ft Apex cage cuts down lateral space — it helps Caliari crash distance and force clinches early (especially against ~40% takedown defense), but it is not a pure underdog upgrade: if she pressures without completing ties, the same small geometry can accelerate fatigue from repeated failed entries. Bannon still owns the cleaner open-space striking picture when she resets; the cage mostly tightens early variance rather than reversing the macro strike-totals expectation across three rounds.

🎯Technical Breakdown

The central tension is repeatable volume vs volatile finishing: Bannon's 4.32 SLpM, 43% accuracy, and 3.75 SApM contrast with Caliari absorbing 7.01 SApM while hunting 2.88 TD15 and 1.0 submission attempts per 15. Caliari's 24% takedown accuracy means she may burn attempts to land one — every stall resets Bannon's length. Striking defense percentages (45% vs 53%) undersell the story: the damage-absorbed column says Caliari is hittable in practice against a switch-stance fighter who can vary lead-side looks on her entries.

🧩Key Battle Areas

Watch the first two clinch/takedown sequences — if Bannon frames, punishes entries, and exits, the fight trends decisively toward her volume. If Caliari completes an early tie and threatens the back or neck, the bout compresses toward her best-case scenario. Psychologically, Caliari is 0-2 in the UFC with every pro win by finish; urgency can sharpen her pressure or force reckless shots that feed Bannon's counters. Bannon's own armbar win proves she is not a grappling zero — reckless transitions carry counter-sub risk for Caliari, too.

🔭Deeper Handicapping Angles
  • UFC adaptation gap: Bannon has already moved through early-octagon adjustments; Caliari's regional finishing rate is real but less predictive than her 0-2 UFC sample vs better durability.
  • Hughes loss context: That submission flags defensive grappling holes, but Hughes is a long-tenured pressure grappler — Caliari's best work is scramble-sudden, not always the same control lane.
  • Round-1 leverage: Caliari's equity is front-loaded; if Bannon wins R1 on defense + optics, Caliari may escalate desperation entries.
  • Narrative: Repeatability (clean minutes) vs volatility (one grappling storm). Bannon can take a competitive 29-28; Caliari often needs a moment, not a margin.
🏁Final Prediction

We lean clearly toward Shauna Bannon by decision (~35% of her 64% umbrella) as the cleanest macro path: range management, higher landing volume, better damage absorption, and proven UFC scorecards. Live KO/TKO equity exists for Bannon because of Caliari's strike absorption. Caliari's most likely lane inside her 36% is submission (~17%), aligning with Bannon's recent RNC loss and TD defense — with KO chaos and a thin decision tail. Fair moneyline math centers near -178 / +178 (64/36).

💰 Betting Analysis: Model vs Market

Detailed value assessment in the betting market

📊Market Odds

Implied Probability: N/A
Implied Probability: N/A

🤖Analytical Model

Shauna Bannon-178
Model Probability: 64% (fair ML from sim)
Nicolle Caliari+178
Model Probability: 36% (fair ML from sim)

💎Value Opportunities

⭐⭐⭐
MAXIMUM VALUE
Bannon by Decision (fair ~+186)

Model: 35% of all outcomes (~55% of her wins) • Primary round-banking path

PROBABILITY:
35%
⭐⭐
GOOD VALUE
Caliari by Submission (fair ~+488)

Model: 17% of all outcomes (~47% of her wins) • Aligns with scramble danger + Bannon RNC loss

ALIGNED:
17%
SLIGHT VALUE
Fight does not go to decision (fair ~-138)

Model: 58% inside distance • Caliari all-finishes profile + Bannon sub vulnerability

EDGE:
58%
⚠️Key Market Discrepancies
  • Finisher narrative may overshoot sub price — Bannon's minutes profile is still the modal outcome.
  • Small-cage discount — Market can overweight early clinch danger vs Bannon's SLpM / SApM separation.
  • TD accuracy flag — 24% completion keeps Caliari's grappling edge narrower than raw TD15 implies.

🎯 Comprehensive Probabilistic Analysis

100 hypothetical fight simulation based on statistical data

🏆Outcome Distribution - Shauna Bannon

By Decision35%

Modal path — bank minutes at range on volume & accuracy

By KO/TKO16%

Attrition vs high SApM; cumulative damage & body lanes

By Submission13%

Opportunistic if Caliari overcommits (Tomar armbar template)

💥Outcome Distribution - Nicolle Caliari

By Submission17%

Best lane: scrambles, RNC/armbar chains vs suspect TD D

By KO/TKO12%

Early chaos shots; strikes off clinch breaks

By Decision7%

No pro decision wins — thinnest conditional in the matrix

Fight Timeline Analysis

R1
Highest Caliari volatility
Small cage contact; first TD/sub attempts define tone
R2
Transitional / even
Reads develop — punished entries vs defensive wrestling tax
R3
Bannon pace edge
Volume + cardio if Caliari emptied on failed pressure
Window of Opportunity — Nicolle Caliari
  • First ~7 minutes: Crash distance before Bannon's reads sharpen.
  • Chain wrestling: Layer shots off the fence; avoid naked long entries.
  • Submission bursts: Capitalize on any turtle or back exposure early.
🎯Probabilistic control — Shauna Bannon
  • Punish entries: Straight shots and body kicks when Caliari squares.
  • Reset discipline: Frame, exit, force reshoots until accuracy degrades.
  • Late-round bank: Volume optics improve if clinch storm does not stick.

🎯 Final Confidence Assessment

Confidence level and uncertainty factors

7/10

Confidence Level

Solid edge on strike volume, accuracy & damage absorbed; capped by real grappling volatility

Supporting Factors

  • • 4.32 vs 3.46 SLpM + much lower SApM (3.75 vs 7.01)
  • • +3" reach & switch looks punish naked entries
  • • Decision equity & 2-2 UFC sample vs 0-2 Caliari
  • • Cardio / duration signals favor 15-minute pacing

⚠️Risk Factors

  • • ~40% takedown defense vs active TD shooter
  • • Recent RNC loss keeps back / neck sequences live
  • • 25 ft cage tightens Caliari's early contact windows

🏁Executive Summary

This projects as Bannon's cleaner striking path versus Caliari's narrower — but violent — grappling spikes. The flagship number is Caliari's 7.01 significant strikes absorbed per minute against a rangy 4.32 SLpM striker; that usually produces visible strike totals for Bannon if distance resets exist. Caliari survives statistically via initiative: 2.88 TD15 and submission hunting compress the fight when entries land, but 24% TD accuracy and an 0-2 UFC ledger cap how often we should expect dominant control. The 25 ft cage raises early variance without fully neutralizing reach.

Prediction: Shauna Bannon by decision — secondary live lanes: Bannon late TKO on accumulation, Caliari sub upset if she secures prolonged grappling turns early.

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