dama

Here is your cookie 🍪

(BTW if anyone wants to know where they're at on this graph I'll probably do it for your specific team but don't expect me to do it for every single team or if you ask months from now)

I took your team's position on the roster/division sheet and divided by the number of total teams in that league.

For example if you're the 25th team in a 100 team league, you would be 25%. It's reverse of what a percentile should be, but I think this is easier to read for the general public.

Scatter plot comparing CCA seed percentile (x-axis) vs LUTI seed percentile (y-axis) for matched collegiate Splatoon teams. Each bubble represents a CCA team, sized by the number of matched players. A diagonal dashed line marks where CCA and LUTI seeds would be equal. Most bubbles cluster loosely around this line, indicating a general correlation between the two leagues' seedings, though with significant scatter. Two bubbles near the top of the chart are highlighted with orange circles and labeled arrows: PUSH (CCA ~38%, LUTI ~99%) and RAIL (CCA ~48%, LUTI ~99%), both mapping to the same LUTI team, Utility PAIL, showing they are mid-tier CCA teams seeded near the bottom of LUTI.

Made you a graph just for PUSH and RAIL. Looks like you guys were seeded in the middle of the pack for CCA League S7, but seeded near the bottom of LUTI S17.

s/o to camelyas and Riff for doing these comparisons for past LUTI and CCA Leagues!

if you have any questions, feel free to ask. Did this real quick and dirty so apologies in advance for any erratas.

Tools/Sources used:

- Used public LUTI's S17 and CCA League S7's Division and Roster sheets, along with sendou.ink to cross check players.
- Python using matplotlib, numpy, pandas, and IPL's sendou.py library using my personal sendou.ink API key.
- Coded using PyCharm Professional Version.

Stacked horizontal bar chart showing LUTI division breakdown for each of 49 matched CCA teams, sorted by CCA seed. Each bar's length represents the number of matched players, color-coded by LUTI division. IVC Stingrays has the longest bar with 8 players all in LUTI Div 9 Americas. UCSD Esports Gold stands out with 5 different colors (Divs 1, 3, 3, 5, 7) across 5 segments, showing maximum fragmentation. A color legend on the right maps hues to LUTI divisions 1 through 10.

I'll leave you off with this bar graph showing the fragmentation of what LUTI div each player got from their respective CCA team. It's really interesting to see just how scattered everyone is:

Terminal output showing roster analysis for UCSD Esports Gold (Roster Div 1, Seed 5) with 5 matched players across 5 LUTI teams. Listed players: NerdyAdam#1169 → Ball up top³ (LUTI Div 1), ooame#1782 → Endroll (LUTI Div 3), CYAN Blast#2041 → Cyan Hardcore (LUTI Div 3), Darkraixhu#1600 → patent pending (LUTI Div 7), Lav#2423 → Minecraft Bedrock Edition (LUTI Div 5).

A very good example would be UCSD Esports Gold. Each member signed up for their own LUTI team but were seeded across 7 divisions:

Why is there limited correlation between CCA Divisions and LUTI divisions? CCA requires that all members of a team are from the same university, which severely limits your talent pool. Once midterms and assignments creep in, it may not be feasible to split your talent up into multiple teams.

Heatmap cross-tabulating CCA divisions (rows 1–7) against LUTI divisions (columns). Cell colors range from light to dark, representing player count. CCA Division 1 players spread across LUTI Divs 1–8. Roster CCA 2–3 concentrate in LUTI Divs 3–8. CCA Divisions 4–6 cluster heavily in LUTI Divs 8–10 Americas. CCA Division 7 is an empty row of zeros, indicating no matched players. The diagonal trend confirms higher-seeded university teams generally land in higher LUTI divisions, though with significant spread.

Is there some correlation? Yes there is... but the spread is massive -- div 1 players from CCA League S7 are placed in LUTI divs 1 through 8, and div 2 CCA League S7 players are placed in LUTI divs 1 through 10... Which is the entire spread of LUTI divs!

The right graph shows us that a vast majority of players playing in LUTI are in general in a lower division or seed when compared to their respective CCA team.

Of particular note is TAMU White -- they were placed in Div 2 for CCA League S7, but were placed in Div 10 for LUTI S17 as Plant Mafia.

Scatter plot comparing roster seed percentile (x-axis) to LUTI S17 seed percentile (y-axis) for 49 matched university Splatoon teams playing in CCA League Season 7. A red dashed diagonal line represents perfect agreement. Most points fall above the diagonal, indicating teams are seeded worse in LUTI than their university rank. A blue regression line with R² = 0.43 and slope 0.84 shows moderate positive correlation. Notable outliers labeled include TAMU White (CCA ~8%, LUTI ~91%), Terminal Illinois (CCA ~19%, LUTI ~4%), and UCSD Esports Gold near the top-left. The average delta is +24.9 percentile points toward worse LUTI seeding.

Let's look at a direct seeding comparison normalized for team count. A R² value of 0.43 implies that there is limited (at best!) correlation between LUTI and CCA divs. The best fit line has a slope of 0.84, showing that LUTI tends to seed teams with CCA players lower than their respective CCA team.

- 9 teams are in both CCA League S7 and LUTI S17. A 10th team is playing under a different name but with the same roster. You get a cookie if you know who 🍪
- 49 teams have at least 1 CCA League S7 player.
- No division 7 player in CCA League S7 is playing in LUTI S17. Welcome to comp Splatoon!

Here's some basic stats:

- 113 players from the CCA are playing in both CCA League S7 and LUTI S17. In other words, 13.4% of CCA League S7 participants are also playing in LUTI S17 and 4.8% of LUTI S17 participants are also playing in CCA League S7.

Happy Week 1 of LUTI S17 and CCA League S7!

Something we get a lot of questions about is if there's a correlation between LUTI and CCA divs, so I did some minor statistical analysis

🧵

#compsplatoon

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