Auburn Tigers vs Seattle U Redhawks: High-Volatility RSI Study With No Qualifying Entry Windows — March 22, 2026

2026-03-22

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Sports Market Analysis: The Technical Setup

This Seattle U vs Auburn market analysis Mar 22 opens with one of the most lopsided pre-game signals of the 2026 NCAAB tournament cycle — Auburn installed as a -14.5 home favorite with an opening game signal of 93.1% ($0.931). For context, that places Seattle U's opening price at a razor-thin $0.069, reflecting the market's near-total dismissal of the Redhawks' chances before tip-off at Neville Arena.

Auburn entered this contest at 19-16, a record that belies their status as a home favorite in the tournament bracket. Seattle U, at 21-14, carried a winning record but faced a significant talent and venue disadvantage. The spread of -14.5 told the story clearly: the market expected a comfortable Auburn victory, and the pre-game signal confirmed that expectation with near-certainty pricing.

What makes this Seattle U vs Auburn market analysis Mar 22 technically fascinating is not what the market predicted — but what happened to the momentum indicators during the game. Despite Auburn winning 91-85, the RSI oscillator produced readings as extreme as 13.0 (deeply oversold) and 79.5 (overbought) throughout both halves, creating a volatility profile that would typically signal tradeable opportunities. Yet the systematic trading engine found zero qualifying windows. Understanding why is the core lesson of this market analysis.

The Pattern: Confirmed Dominant Favorite — a game where the favorite's game signal remains structurally elevated (never dropping below 89.4%) while RSI oscillates wildly due to scoring bursts and substitution-driven momentum shifts, producing false signals that fail minimum duration and profit thresholds.

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Context: Why This Game Unfolded the Way It Did

Auburn Tigers (19-16, Home):

• Keyshawn Hall: 9 points, 15 rebounds — converting 4-of-14 from the field but contributing heavily on the glass
• Filip Jovic: 12 points, 5 rebounds — his tip-in dunk late in H1 was a momentum-sealing play
• Auburn's depth and home-court advantage at Neville Arena (3,672 in attendance) proved decisive in the second half

Seattle U Redhawks (21-14, Away):

• Junseok Yeo: 13 points, 6 rebounds — an individual performance that kept Seattle U competitive far longer than the pre-game signal suggested
• Will Heimbrodt: 12 points, 4 rebounds — his 28-foot three-pointer in H1 briefly gave Seattle U the lead
• Despite contributions across the roster, Seattle U couldn't overcome Auburn's depth and free-throw efficiency

The Seattle U vs Auburn market analysis Mar 22 reveals a structural mismatch: Yeo and Heimbrodt generating enough scoring to keep the game within reach, but Auburn's team-wide execution — particularly Filip Jovic's interior play and Keyshawn Hall's relentless rebounding — ultimately proved too much. This context explains why the RSI oscillated so dramatically: Seattle U's stars created genuine momentum swings, but the underlying game signal never truly threatened Auburn's dominance.

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## Seattle U vs Auburn market analysis Mar 22: First Half — Volatility Without Opportunity

The Seattle U vs Auburn market analysis Mar 22 begins with an opening sequence that immediately established the game's technical character. Auburn's game signal opened at 93.1% and within the first two minutes of play, RSI had already climbed into overbought territory — a reflection of Auburn's early scoring efficiency rather than any genuine market shift.

At H1 17:51, with the score 3-1 Auburn, RSI touched 70.0 as Filip Jovic collected a defensive rebound following a missed Brayden Maldonado three-pointer. Within seconds, Jovic converted both free throws (RSI spiking to 77.0 at H1 17:35) after a foul on Austin Maurer, pushing Auburn to a 5-1 lead. The game signal reached 95.5% — already pricing in near-certainty for the Tigers.

Then came the first genuine volatility event of this market analysis. At H1 16:31, Junseok Yeo drained a 28-foot three-pointer assisted by Maleek Arington, flipping the score to 6-5 Seattle U. This single play triggered a lead change — one of only two in the entire game — and sent RSI plummeting from overbought territory to 29.4 (oversold). The game signal for Auburn dropped to 92.0%, and Seattle U's price briefly touched $0.080. For a trader watching the tape, this looked like a potential entry signal on the Redhawks.

But the recovery was immediate. At H1 16:05, Kevin Overton hit a 26-foot three-pointer to restore Auburn's lead (8-6), and the second lead change of the game was recorded. RSI began recovering, and the game signal climbed back above 93%. The window for any Seattle U long position had lasted less than 90 seconds of game clock — far below the 5-minute minimum duration required for a qualifying trade.

The most dramatic RSI cluster of the first half arrived at H1 14:29. Junseok Yeo went to the free-throw line and converted all three attempts (the score moving from 10-9 to 10-12 Seattle U), while Will Heimbrodt subbed out and John Christofilis entered. During this sequence, RSI cascaded from 24.9 all the way down to 13.0 — an extreme oversold reading that in most market analysis contexts would scream "buy the underdog." Auburn's game signal dipped to its minimum for the entire game: 89.4% ($0.894 from Auburn's perspective, or $0.106 for Seattle U).

Decision Point 1: RSI 13.0 — The Extreme Oversold Trap

The Question: With RSI at 13.0 — one of the most extreme oversold readings possible — and Seattle U actually leading 12-10, should a trader enter long on the Redhawks?

This Seattle U vs Auburn market analysis Mar 22 shows why the answer is no. The RSI extreme was driven by a rapid scoring burst from Yeo at the free-throw line, not a sustained momentum shift. Auburn's game signal had only dipped to 89.4% — still pricing the Tigers as overwhelming favorites. More critically, the signal had been in this range for less than two minutes of game clock, failing the 5-minute minimum development window. A trader entering here would be chasing a micro-fluctuation in a structurally dominant market.

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First Half Continued: Auburn's Reassertion

Following the H1 14:29 RSI extreme, Auburn's superior depth began to tell. The Tigers went on a scoring run that pushed the lead back to double digits. At H1 11:26, Sebastian Williams-Adams made a driving layup that sent RSI back to 71.2 (overbought), with Auburn's game signal recovering to 94.2%. The market had fully digested Seattle U's brief lead and re-priced Auburn's dominance.

The second major RSI cluster of the first half arrived at H1 4:42. Brayden Maldonado connected on a 24-foot three-pointer (assisted by Will Heimbrodt) to cut Auburn's lead to 34-27, triggering another cascade of oversold RSI readings — 18.0, then 14.4 across multiple consecutive data points as substitutions and a foul on Kevin Overton interrupted play. Maldonado then missed a free throw, and RSI held at 14.4 through the stoppage.

This was the second time in the first half that RSI reached extreme oversold territory without producing a tradeable window. The game signal for Auburn remained above 95% throughout this sequence — Seattle U's price never exceeded $0.050. The market was not pricing a genuine comeback; it was processing a scoring burst within a game that remained firmly in Auburn's control.

The first half closed with a Filip Jovic tip-in dunk at H1 2:01 (RSI 70.3), followed by Keyshawn Hall's defensive rebound and driving layup at H1 1:37 (RSI 79.5 — the highest overbought reading of the game). Auburn led 42-31 at halftime, with their game signal at 97.2% and Seattle U priced at just $0.028.

Decision Point 2: Halftime Assessment — No Entry Justified

The Question: With Seattle U priced at $0.028 at halftime and RSI recovering from extreme oversold readings, does the second half offer a long opportunity on the Redhawks?

This Seattle U vs Auburn market analysis Mar 22 makes the case against it clearly. A $0.028 entry on Seattle U requires the Redhawks to close an 11-point halftime deficit against a superior team — and even if they did, the game signal would need to move dramatically (from $0.028 to above $0.031 minimum for a 10% return threshold). The structural gap between these teams, confirmed by the first-half data, made any Seattle U long position a low-probability speculation rather than a systematic trade. The market analysis framework correctly identified no qualifying entry here.

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Second Half: Bearish Divergence Signals in a Locked Market

The Seattle U vs Auburn market analysis Mar 22 takes an analytically interesting turn in the second half. While Auburn's game signal climbed toward certainty (reaching 99%+ for extended stretches), the RSI oscillator began producing bearish divergence signals — a pattern where the game signal makes higher highs but RSI makes lower highs, indicating weakening momentum behind the dominant team's price action.

The second half opened with Auburn extending their lead. At H2 19:45, Elyjah Freeman hit a 23-foot three-pointer (assisted by Kevin Overton) to push the score to 45-31, and Auburn's game signal climbed to 98.6%. At H2 19:27, Will Heimbrodt missed a 24-foot three-pointer (RSI 71.2), and Tahaad Pettiford grabbed the defensive rebound (RSI 72.6 at H2 19:24). These were the last overbought RSI readings of the game.

The first bearish divergence signal fired at H2 17:16: Auburn's game signal reached 99.3% (a new high), but RSI had already declined to 69.7 — below the 72.6 peak from H2 19:24. This is the textbook bearish divergence setup: price (game signal) making a higher high while momentum (RSI) makes a lower high. In equity market analysis, this pattern often precedes a pullback.

A second bearish divergence confirmed at H2 13:28, with Auburn's signal at 99.5% but RSI declining further to 63.1. The divergence was deepening — Auburn's dominance was priced in, but the momentum behind further signal appreciation was fading.

Decision Point 3: Bearish Divergence — What Does It Mean Here?

The Question: Three bearish divergence signals fired in the second half on Auburn's game signal. Does this create a long opportunity on Seattle U?

In this Seattle U vs Auburn market analysis Mar 22, the bearish divergence signals are technically valid but practically untradeable. Auburn's game signal was oscillating between 99.0% and 99.9% — a range of less than 1 percentage point. Even if a trader entered long on Seattle U at $0.007 (0.7% game signal), the exit would need to reach $0.0077 for a 10% return. The absolute dollar movement required is microscopic, and the minimum trade duration of 5 minutes further constrains any entry. The divergence signals were real; the opportunity was not.

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Late Second Half: Seattle U's Final Push and the Last RSI Extremes

The final stretch of this game produced the most dramatic scoring sequence and the last cluster of RSI extremes. At H2 6:20, a foul on Sebastian Williams-Adams sent Junseok Yeo to the line. Williams-Adams was called for a second foul at H2 6:09, and Yeo converted both free throws (RSI dropping to 24.9 as the score moved to 74-62, then 74-63). Maleek Arington then blocked a Keyshawn Hall layup attempt at H2 5:40, with RSI hitting 19.9 — the third extreme oversold reading of the second half.

These plays illustrate the core dynamic of this market analysis: Seattle U's contributors were generating genuine scoring momentum, but Auburn's structural advantage — a 13-point lead with under 6 minutes remaining — meant the game signal barely moved. The RSI was responding to the scoring rate differential, not to any genuine shift in game control.

The final RSI extreme came at H2 0:06, when Brayden Maldonado hit a 28-foot three-pointer to cut the deficit to 89-85 (RSI 23.6). This was a garbage-time scoring play that briefly pushed RSI into oversold territory one final time. At H2 0:01, the RSI exit-oversold signal fired (RSI recovering to 54.1), but with only one second remaining, no trade was possible.

Auburn closed out the game 91-85, with their final game signal reaching 100% ($1.00) at the buzzer.

Decision Point 4: The Final RSI Oversold Exit — Too Late to Act

The Question: The RSI exit-oversold signal fired at H2 0:01 — the system's most reliable bullish confirmation. Does this validate a late entry?

With one second on the clock, this is purely academic — but it illustrates a broader principle in this Seattle U vs Auburn market analysis Mar 22. The RSI exit-oversold signal is a high-quality confirmation signal, but it requires sufficient time remaining for the trade to develop. Here, the signal fired at the game's final second, confirming what the score already showed: Auburn was going to win. The signal was correct in direction but arrived with zero actionable time remaining.

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Final Accounting

The Seattle U vs Auburn market analysis Mar 22 produced no qualifying trade windows despite generating 31 RSI extreme readings across both halves — one of the highest volatility profiles in recent NCAAB market analysis.

No qualifying trade windows were detected in this game. While technical signals fired repeatedly — including RSI readings as extreme as 13.0 (deeply oversold) and 79.5 (overbought) — none met the systematic trading criteria for a complete entry and exit. The specific constraints that eliminated all signals:

1. Minimum 5-minute development window: Most RSI extremes occurred within rapid scoring bursts lasting 60-90 seconds of game clock

2. Minimum 10% profit threshold: Auburn's game signal never dropped below 89.4%, leaving Seattle U's price range ($0.001–$0.106) too narrow for 10%+ moves within qualifying windows

3. Minimum 5-minute trade duration: The game signal's structural elevation (consistently above 89%) meant any Seattle U price movement reversed before the minimum hold period elapsed

This outcome is itself a valuable market analysis lesson: extreme RSI readings in a structurally dominant market (93%+ opening signal) are frequently noise rather than signal. The oscillator responds to scoring rate changes, not to genuine shifts in game control.

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## Seattle U vs Auburn market analysis Mar 22: Confirmed Dominant Favorite Pattern Spotlight

The Seattle U vs Auburn market analysis Mar 22 is a textbook example of the Confirmed Dominant Favorite pattern — a game where the pre-game signal is so elevated (90%+) that subsequent RSI oscillations, however extreme, fail to create tradeable price dislocations.

Definition: The Confirmed Dominant Favorite pattern occurs when a team's game signal opens above 90% and never drops below 85% during the game, despite RSI producing multiple oversold readings. The RSI extremes are generated by scoring bursts from the underdog's star players, but the structural gap between teams prevents the game signal from moving enough to create qualifying trade windows.

This pattern is particularly relevant for sports market analysis in tournament settings, where significant talent mismatches can produce lopsided game signals while still generating high-scoring, competitive-looking games. Yeo (13 pts) and Heimbrodt (12 pts) combined for 25 points — yet Auburn's depth and home-court advantage kept the game signal firmly in the Tigers' favor throughout.

How to Identify:

• Opening game signal above 90% for the favorite
• Underdog has one or two elite individual performers capable of scoring bursts
• RSI produces multiple oversold readings (below 30) but game signal minimum stays above 85%
• Lead changes are brief (less than 2 minutes of game clock) or non-existent
• MACD divergence signals appear in the second half as the favorite's signal approaches 99%+

Trading Logic:

• Do not enter long on the underdog when the game signal minimum exceeds 85% — the structural gap is too large
• Bearish divergence signals on the favorite (RSI making lower highs while game signal makes higher highs) are valid technically but untradeable when the signal is above 98%
• RSI extreme oversold readings in this context are scoring-burst artifacts, not genuine momentum reversals
• Risk management: If you do attempt a trade in this pattern, use the smallest possible position size and set a tight exit — the signal can reverse within 60 seconds

Historical Context: In NCAAB market analysis, games with opening signals above 90% produce qualifying trade windows less than 15% of the time. When the favorite's game signal minimum exceeds 87% (as it did here at 89.4%), the probability of a qualifying underdog long drops to near zero. This game confirms that pattern: 31 RSI extremes, zero qualifying trades.

What made this particular instance of the Confirmed Dominant Favorite pattern distinctive was the quality of Seattle U's individual performers. Yeo and Heimbrodt are legitimate contributors, and their ability to generate scoring runs created RSI readings that would, in a more balanced game, represent genuine entry opportunities. The lesson for market analysis practitioners: always check the structural game signal range before acting on RSI extremes. A 13.0 RSI reading means nothing if the game signal is still pricing the opponent at 89.4%.

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Quick Reference

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Analyst Notes: What This Game Teaches About Market Analysis

The Seattle U vs Auburn market analysis Mar 22 is worth studying precisely because it looks like it should have produced trades but didn't. Thirty-one RSI extreme readings across 40 minutes of basketball — that's nearly one extreme reading per minute of game clock. In any other market context, that volatility profile would generate multiple entry and exit signals.

The key insight from this market analysis: volatility without price dislocation is not opportunity. Auburn's game signal was structurally anchored above 89% for the entire game. The RSI was oscillating because Junseok Yeo and Will Heimbrodt are capable players who can score in bunches — but their scoring didn't threaten Auburn's structural advantage. The market knew this. The game signal knew this. Only the RSI oscillator, responding to raw scoring rate, suggested otherwise.

For practitioners of sports market analysis, this game offers a clear filter: before acting on any RSI extreme, check the game signal range. If the minimum game signal for the underdog never exceeded 10.6% ($0.106), the market is telling you something the RSI is not. The game signal is the primary indicator; RSI is confirmation. When they diverge this dramatically — RSI screaming oversold while the game signal sits at 89.4% — trust the game signal.

The three bearish divergence signals in the second half (H2 17:16, H2 13:28, H2 0:48) were technically correct: Auburn's momentum was fading as their lead became insurmountable and both teams played out the string. But "fading momentum" at 99%+ is not a tradeable thesis — it's a mathematical inevitability as the game signal approaches its ceiling of 100%.

This Seattle U vs Auburn market analysis Mar 22 ultimately confirms that the most important pre-trade filter in sports market analysis is the opening game signal. When a team opens at 93.1%, the entire subsequent analysis must be conducted with that structural reality in mind. The Redhawks gave Auburn a genuine fight — 85 points, multiple RSI-triggering scoring runs — but the market was right from the opening tip. Sometimes the most valuable market analysis conclusion is: there was no trade here, and that's exactly what the data predicted.

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