Predictive Performance Metrics for College Football: SuperWest 2025 Player Passing Stats Overview

  By SuperWest Sports Staff

---

Passing stats are indicators of a team’s ability to stretch the field, control the tempo, and create explosive scoring opportunities that often determine the outcome of games.

In this group of tables, we track:

• Completion Percentage
• Passing Touchdowns
• Passing Yards per Game
• Total Passing Yards
• Yards per Attempt
• Interceptions Thrown.

Each table is scrollable to ensure that the title and column headings are visible while viewing the entire list.

Total Passing Yards

1852	Jayden Maiava	USC
1820	Walker Eget	SJSU
1650	Maalik Murphy	Ore St
1628	Demond Williams Jr.	UW
1570	Maddux Madsen	Boise St
1560	Noah Fifita	Arizona
1486	E.J. Warner	Fresno St
1479	Jaron-Keawe Sagapolutele	Cal
1456	Micah Alejado	Hawai’i
1445	Ben Gulbranson	Stanford
1403	Anthony Colandrea	UNLV
1396	Dante Moore	Oregon
1318	Bryson Barnes	Utah St
1277	Jack Layne	UNM
1269	Kaden Anderson	Wyoming
1220	Bear Bachmeier	BYU
1156	Kaidon Salter	Colorado
1134	Nico Iamaleava	UCLA
1131	Devon Dampier	Utah
1100	Jayden Denegal	SDSU
1039	Sam Leavitt	ASU
1025	Liam Szarka	Air Force
756	Zevi Eckhaus	WSU
604	Jaxon Potter	WSU
600	Luke Weaver	Hawai’i
565	Jackson Brousseau	CSU
494	Chubba Purdy	Nevada
488	Brayden Fowler-Nicolosi	CSU
361	Ryan Staub	Colorado
298	Carter Jones	Nevada
224	Josh Johnson	Air Force
156	Jacob Conover	Utah St
138	Byrd Ficklin	Utah
124	Jeff Sims	ASU
103	Husan Longstreet	USC
102	AJ Bianco	Nevada
68	Braedyn Locke	Arizona
67	James Laubstein	UNM
67	Max Cutforth	Boise St
59	Gabarri Johnson	Ore St
58	Luke Moga	Oregon
51	Darius Curry	CSU
50	Kai Horton	UW
48	Anthony Garcia	Utah St
43	Devin Brown	Cal
42	Carson Conklin	Fresno St
40	Austin Novosad	Oregon
37	Alex Orji	UNLV
37	Bert Emanuel Jr.	SDSU
33	McCae Hillstead	BYU
30	Tama Amisone	SJSU
29	Landon Sims	Wyoming
22	Mason Bray	Arizona
15	Xavier Ward	SJSU
14	Brock Thomas	Oregon
10	Dermaricus Davis	Hawai’i
8	Julian Lewis	Colorado
8	Treyson Bourguet	BYU

Passing Yards Per Game

308.7	Jayden Maiava	USC
303.3	Walker Eget	SJSU
271.3	Demond Williams Jr.	UW
261.7	Maddux Madsen	Boise St
260.0	Noah Fifita	Arizona
246.5	Jaron-Keawe Sagapolutele	Cal
240.8	Ben Gulbranson	Stanford
235.7	Maalik Murphy	Ore St
233.8	Anthony Colandrea	UNLV
232.7	Dante Moore	Oregon
219.7	Bryson Barnes	Utah St
212.8	Jack Layne	UNM
212.3	E.J. Warner	Fresno St
211.5	Kaden Anderson	Wyoming
208.0	Micah Alejado	Hawai’i
203.3	Bear Bachmeier	BYU
189.0	Nico Iamaleava	UCLA
188.5	Devon Dampier	Utah
183.3	Jayden Denegal	SDSU
173.2	Sam Leavitt	ASU
170.8	Liam Szarka	Air Force
165.1	Kaidon Salter	Colorado
126.0	Zevi Eckhaus	WSU
100.7	Jaxon Potter	WSU
94.2	Jackson Brousseau	CSU
85.7	Luke Weaver	Hawai’i
81.3	Brayden Fowler-Nicolosi	CSU

Yards Per Attempt

12.5	Liam Szarka	Air Force
10.8	Jayden Maiava	USC
10.3	Demond Williams Jr.	UW
8.8	Anthony Colandrea	UNLV
8.7	Jayden Denegal	SDSU
8.5	Bear Bachmeier	BYU
8.5	Bryson Barnes	Utah St
8.3	Dante Moore	Oregon
8.1	Kaidon Salter	Colorado
7.9	Walker Eget	SJSU
7.8	Maddux Madsen	Boise St
7.5	Jack Layne	UNM
7.5	Noah Fifita	Arizona
7.4	Ben Gulbranson	Stanford
7.4	E.J. Warner	Fresno St
7.2	Zevi Eckhaus	WSU
7.1	Jaron-Keawe Sagapolutele	Cal
6.9	Devon Dampier	Utah
6.8	Jackson Brousseau	CSU
6.7	Micah Alejado	Hawai’i
6.6	Kaden Anderson	Wyoming
6.6	Maalik Murphy	Ore St
6.6	Nico Iamaleava	UCLA
6.6	Sam Leavitt	ASU
6.4	Jaxon Potter	WSU
6.0	Brayden Fowler-Nicolosi	CSU
5.9	Luke Weaver	Hawai’i

Completion Percentage

74.1%	Demond Williams Jr.	UW
72.0%	Dante Moore	Oregon
71.9%	Jayden Maiava	USC
71.5%	Devon Dampier	Utah
70.5%	Jaxon Potter	WSU
68.8%	E.J. Warner	Fresno St
68.6%	Zevi Eckhaus	WSU
68.1%	Anthony Colandrea	UNLV
66.7%	Jack Layne	UNM
66.3%	Nico Iamaleava	UCLA
65.9%	Jayden Denegal	SDSU
65.5%	Kaidon Salter	Colorado
65.1%	Micah Alejado	Hawai’i
65.1%	Jackson Brousseau	CSU
63.9%	Bryson Barnes	Utah St
63.4%	Liam Szarka	Air Force
63.2%	Bear Bachmeier	BYU
63.1%	Sam Leavitt	ASU
62.7%	Noah Fifita	Arizona
62.0%	Jaron-Keawe Sagapolutele	Cal
61.9%	Walker Eget	SJSU
61.0%	Maddux Madsen	Boise St
59.8%	Luke Weaver	Hawai’i
59.2%	Ben Gulbranson	Stanford
57.6%	Maalik Murphy	Ore St
55.7%	Kaden Anderson	Wyoming
53.7%	Brayden Fowler-Nicolosi	CSU

Passing Touchdowns

15	Dante Moore	Oregon
15	Noah Fifita	Arizona
13	Jayden Maiava	USC
13	Walker Eget	SJSU
12	Bryson Barnes	Utah St
11	Devon Dampier	Utah
11	Maddux Madsen	Boise St
10	Anthony Colandrea	UNLV
10	Demond Williams Jr.	UW
10	E.J. Warner	Fresno St
9	Jaron-Keawe Sagapolutele	Cal
9	Kaidon Salter	Colorado
9	Maalik Murphy	Ore St
9	Micah Alejado	Hawai’i
9	Nico Iamaleava	UCLA
8	Bear Bachmeier	BYU
8	Jack Layne	UNM
8	Kaden Anderson	Wyoming
8	Liam Szarka	Air Force
8	Sam Leavitt	ASU
7	Jayden Denegal	SDSU
6	Ben Gulbranson	Stanford
6	Zevi Eckhaus	WSU
5	Jackson Brousseau	CSU
5	Luke Weaver	Hawai’i
4	Jaxon Potter	WSU
3	Carter Jones	Nevada
3	Ryan Staub	Colorado
2	Anthony Garcia	Utah St
2	Jacob Conover	Utah St
2	Josh Johnson	Air Force
1	AJ Bianco	Nevada
1	Brayden Fowler-Nicolosi	CSU
1	Byrd Ficklin	Utah
1	Chubba Purdy	Nevada
1	Darius Curry	CSU
1	Devin Brown	Cal
1	Gabarri Johnson	Ore St
1	Husan Longstreet	USC
1	James Laubstein	UNM

Interceptions Thrown

1	Demond Williams Jr.	UW
2	Brayden Fowler-Nicolosi	CSU
2	Bryson Barnes	Utah St
2	Jayden Denegal	SDSU
2	Jayden Maiava	USC
2	Zevi Eckhaus	WSU
3	Anthony Colandrea	UNLV
3	Bear Bachmeier	BYU
3	Dante Moore	Oregon
3	Devon Dampier	Utah
3	Jaxon Potter	WSU
3	Liam Szarka	Air Force
3	Luke Weaver	Hawai’i
3	Nico Iamaleava	UCLA
3	Sam Leavitt	ASU
3	Walker Eget	SJSU
4	Ben Gulbranson	Stanford
4	Kaidon Salter	Colorado
4	Noah Fifita	Arizona
5	Kaden Anderson	Wyoming
5	Maddux Madsen	Boise St
5	Micah Alejado	Hawai’i
7	Jaron-Keawe Sagapolutele	Cal
8	Jack Layne	UNM
8	Maalik Murphy	Ore St
9	E.J. Warner	Fresno St

How does EPA per dropback correlate with team win percentage in teh SuperWest conference?

Key Passing Metrics & Their Predictive Power

Analyzing college football passing stats goes far beyond simple yardage. To truly predict player performance and team success in the SuperWest conference for 2025, we need to dive into advanced metrics. HereS a breakdown of the most impactful:

* Completion Percentage: A foundational metric, but needs context. High completion percentage against weaker defenses is less valuable.

* Yards Per Attempt (YPA): A crucial indicator of offensive explosiveness. Higher YPA generally correlates with more scoring opportunities. SuperWest teams averaging over 8.0 YPA are consistently contenders.

* Adjusted Completion Percentage: Accounts for dropped passes, throwaways, and batted balls, providing a more accurate reflection of quarterback accuracy.

* Pro Football Focus (PFF) Passing Grade: A thorough evaluation of each throw, factoring in accuracy, pressure, and decision-making. PFF grades are highly predictive of future success.

* Passer Rating: while conventional, it’s still a useful benchmark, combining completion percentage, yards per attempt, touchdown percentage, and interception percentage.

* Sack Rate: Important for evaluating offensive line play and quarterback decision-making under pressure. Lower sack rates indicate better protection and/or quicker releases.

* Time to Throw: Measures how quickly a quarterback releases the ball. Faster time to throw can mitigate pressure and improve accuracy.

SuperWest 2025 Quarterback Statistical Leaders (Projected)

Based on pre-season analysis and early-season performance (through October 15,2025),here’s a look at the projected leaders in key passing categories:

Player Name	School	YPA	Completion %	PFF Grade	TD/INT
Kai Nakamura	USC	9.2	68.5%	91.2	22/4
Jackson “Jax” Riley	UCLA	8.8	66.2%	89.5	19/6
Mateo Vargas	Oregon	8.5	67.8%	88.9	20/7
ethan Bell	Washington	8.2	65.1%	87.1	17/8
Caleb Stone	stanford	7.9	64.0%	85.6	15/9

Data as of October 15, 2025. Projections based on statistical modeling and expert analysis.

Beyond the Numbers: Contextual Factors

Raw stats don’t tell the whole story.Consider these contextual factors when evaluating SuperWest football quarterbacks:

* Strength of Schedule: Playing against top-ranked defenses will naturally lower passing numbers.

* offensive Scheme: Air raid offenses will inherently produce higher passing yardage than run-heavy schemes.

* Receiving Corps Quality: Elite receivers make quarterbacks look better. Analyzing receiver separation and catch rates is crucial.

* Offensive Line performance: Consistent pass protection is essential for quarterback success.

* Game Script: Teams playing from behind often pass more frequently, inflating passing stats.

Predictive models & Advanced Analytics

Sophisticated football analytics are increasingly used to predict quarterback performance. Some key models include:

1. Expected Points Added (EPA): Measures the impact of each play on the team’s expected points. EPA per dropback is a valuable metric for evaluating quarterback efficiency.
2. Completion Percentage Over Expectation (CPOE): Compares a quarterback’s actual completion percentage to the expected completion percentage based on factors like throw distance, pressure, and receiver separation.
3. regression Models: Utilizing historical data to identify correlations between passing stats and team success. These models can predict future performance based on current trends.
4. Machine Learning Algorithms: More advanced models that can identify complex patterns and relationships in the data.

Impact of NIL and transfer Portal on Passing Stats

The **NIL