08/02/2026
Some interesting analysis for the 2026 Slate intermediate pool championship
๐ฑ๐ ๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐ โ ๐๐๐ ๐๐ โ๐๐๐๐๐๐ ๐๐๐๐๐โ (๐
๐๐ ๐
๐๐!) ๐๐ฑ
Alright legendsโฆ I ran the numbers for Juneโs ๐๐ฅ๐๐ญ๐ ๐๐ง๐ญ๐๐ซ๐ฆ๐๐๐ข๐๐ญ๐ (128 players, double elim, race to 8 / race to 6) and the ๐๐๐ ๐๐ฅ๐๐ฒ๐๐ซ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐๐ ๐๐ง๐ญ spat out a pretend bookmaker-style Top 32.
โ ๏ธ ๐๐๐๐จ๐ซ๐ ๐๐ง๐ฒ๐จ๐ง๐ ๐ ๐๐ญ๐ฌ ๐๐ฎ๐ญ๐ญ ๐ก๐ฎ๐ซ๐ญ: this is ๐๐ + public info only and itโs ๐๐๐% for a laugh. The data and info in the ranking may be incorrect - it's not fact checked, this was generated by the AI. Primary competition data pulled from Slate and AU Cup results.
If youโre a weapon locally but your name barely appears onlineโฆ the bot can underrate you. If youโve got loads of public resultsโฆ the bot can overrate you. Simple.
๐ง ๐๐จ๐ฐ ๐ญ๐ก๐ ๐๐๐ ๐๐ฅ๐๐ฒ๐๐ซ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐๐ ๐๐ง๐ญ โ๐ฉ๐ซ๐ข๐๐๐โ ๐ฉ๐ฅ๐๐ฒ๐๐ซ๐ฌ
The agent used what it could find publicly (mainly PoolStat results) and scored everyone on:
โ
๐๐ข๐ง๐ ๐ฅ๐๐ฌ ๐๐๐ฉ๐ญ๐ก (70%) โ going deep in singles knockouts matters most
โ
๐๐๐๐ฆ๐ฌ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ (20%) โ volume + consistency (stats tables)
โ
๐๐จ๐ฎ๐๐ฅ๐๐ฌ / scotch (10%) โ smaller boost (big-stage experience), not the main driver
Then it converts that into:
๐ฅ ๐๐ข๐ง% (chance to win the whole tournament)
๐ฐ ๐๐๐๐ฌ (return per $1 โ e.g. $15.00 means your $1 returns $15 incl stake)
๐ท๏ธ ๐๐๐ฅ๐๐ฎ๐ญ๐ญ๐ ๐ซ๐๐ง๐ ๐ (rough โwhat you might sell forโ in a $50k pool)
๐ ๐๐๐ ๐๐ (๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐)
๐ฅ ๐๐๐๐ ๐ โ ๐
๐๐๐๐๐๐๐๐๐
1) ๐๐ซ๐๐ง๐ญ ๐๐จ๐ง๐ง๐ข๐ ๐๐๐ฌ๐จ๐ง โ 6.30% | $15.87 | $2.21kโ$4.09k (major singles win signal)
(๐๐ก๐ฒ: Won the 2025 Australian Singles Cup Grade on PoolStat โ the bracket shows โTrent Masonโ winning the final 8โ0. A singles trophy in a national-grade comp is the strongest public signal in the dataset. Also appears in the same broader Slate/AEBF ecosystem.)
2) ๐๐ข๐ญ๐๐ก ๐๐๐๐ฆ๐ฌ โ 5.20% | $19.23 | $1.82kโ$3.38k (deep singles Slate run)
(๐๐ก๐ฒ: In 2025 Slate Intermediate, he wins a finals-stage match vs Braedon Hale (8โ4) and then loses to the eventual champ Ramon Dunn (5โ8) โ thatโs โdeep run, ran into the winnerโ territory. Thatโs exactly the kind of depth signal this model is designed to reward.)
3) ๐๐ญ๐๐ฉ๐ก๐๐ง ๐๐ข๐ซ๐จฤ๐ฎ๐ค โ 4.70% | $21.28 | $1.65kโ$3.06k (deep singles Slate run)
(๐๐ก๐ฒ: In 2025 Slate Intermediate Finals, PoolStat shows him beating George Zomaya (8โ3), then later losing to Olan in the semis (5โ8). Thatโs effectively โtop-4 depthโ in the exact event ecosystem youโre pricing.)
4) ๐๐๐จ๐ญ๐ญ ๐๐๐๐ฅ๐ฒ โ 4.10% | $24.39 | $1.44kโ$2.67k (deep singles Slate run)
(๐๐ก๐ฒ: In 2025 Slate Intermediate Finals, he beats Tom OโKeefe (8โ4) then later loses to Olan (5โ8). Again, this is โfinals-stage winner who ran into the champ/runner-upโ, which is a clean, strong singles signal.)
๐ค ๐๐๐๐ ๐ โ ๐๐๐๐๐๐๐๐๐๐
5) ๐๐๐จ๐ญ๐ญ๐ฒ ๐
๐ซ๐๐ฌ๐๐ซ โ 3.40% | $29.41 | $1.19kโ$2.21k (tight late-round loss)
(๐๐ก๐ฒ: In 2025 Slate Intermediate Finals, he pushes Olan to the wire and loses 7โ8. In this model, tight losses deep in the bracket are a major indicator of โcan go all the way on the right runโ.)
6) ๐๐ฅ๐๐ฑ ๐๐ฅ๐๐๐๐ค๐ข๐ฌ โ 3.00% | $33.33 | $1.05kโ$1.95k (deep run + tight one)
(๐๐ก๐ฒ: In 2025 Slate Intermediate Finals, he loses a squeaker 7โ8 to Stuart Williams. Thatโs a top-tier โcoinflip lossโ at the pointy end โ enough to price him as a serious contender even without a trophy.)
7) ๐๐ซ๐๐๐๐จ๐ง ๐๐๐ฅ๐ โ 2.60% | $38.46 | $0.91kโ$1.69k (finals-stage)
(๐๐ก๐ฒ: In 2025 Slate Intermediate Finals, he reaches finals-stage and then runs into Mitch Adams (loses 4โ8). โFinals-stage appearanceโ matters; heโs proven he can survive the early chaos and get deep.)
8) ๐๐๐จ๐ซ๐ ๐ ๐๐จ๐ฆ๐๐ฒ๐ โ 2.30% | $43.48 | $0.81kโ$1.50k (finals-stage)
(๐๐ก๐ฒ: In 2025 Slate Intermediate Finals, he makes the business end, then loses to Stephen Siroฤuk 3โ8. Finals-stage presence = real depth, even if the semi match wasnโt close.)
9) ๐๐ซ๐จ๐ง๐ญ๐ ๐๐ฎ๐ง๐๐๐ง โ 2.00% | $50.00 | $0.70kโ$1.30k (repeat Slate footprint)
(๐๐ก๐ฒ: Strong repeated presence across the Slate ecosystem (2024/2025 comp pages show her progressing and featuring in the later result blocks). The model gives โrepeat late-stage visibilityโ a boost vs one-off appearances.)
10) ๐๐๐ง ๐๐จ๐จ๐ โ 1.85% | $54.05 | $0.65kโ$1.20k
(๐๐ก๐ฒ: Shows up across the Slate draw blocks and has visible progression lines; priced as a contender because the model rewards repeat visibility + win lines more than a single appearance.)
๐ ๐๐๐๐ ๐ โ ๐๐๐๐๐๐๐๐๐
11) ๐๐๐๐ง ๐๐๐ฅ๐ฉ๐จ๐ฅ๐ โ 1.65% | $60.61 | $0.58kโ$1.07k
12) ๐๐จ๐๐๐ข๐ ๐๐ฎ๐ง๐๐๐ซ๐ฅ๐๐ง๐ โ 1.55% | $64.52 | $0.54kโ$1.01k
13) ๐๐ก๐๐ง๐ ๐๐๐จ๐ง๐๐ซ๐ โ 1.45% | $68.97 | $0.51kโ$0.94k
14) ๐๐จ๐ง๐ฒ ๐๐๐ ๐จ๐ฏ๐ข๐ โ 1.35% | $74.07 | $0.47kโ$0.88k
15) ๐๐ฎ๐ค๐ ๐๐๐ง๐๐ข๐ โ 1.25% | $80.00 | $0.44kโ$0.81k
16) ๐๐๐ฅ ๐๐ซ๐ข๐ญ๐๐ก๐๐ซ๐ โ 1.15% | $86.96 | $0.40kโ$0.75k
17) ๐๐๐ซ๐ซ๐๐ง ๐๐ก๐๐ฐ โ 1.08% | $92.59 | $0.38kโ$0.70k
18) ๐๐จ๐ซ๐ฆ๐๐ง ๐๐๐ฌ๐ก๐๐ซ๐ โ 1.02% | $98.04 | $0.36kโ$0.66k
19) ๐๐ฎ๐ฌ๐ก ๐๐ซ โ 0.96% | $104.17 | $0.34kโ$0.62k
20) ๐๐๐ฌ๐ฌ๐๐ฆ ๐๐ก๐๐ค๐ข๐ซ ๐๐ฅ๐ข โ 0.90% | $111.11 | $0.32kโ$0.59k
๐ฒ ๐๐๐๐ ๐ โ ๐๐๐๐ ๐๐๐๐๐ (๐๐๐ ๐๐๐๐๐๐๐๐๐)
21) ๐๐ข๐๐ก๐๐๐ฅ ๐๐๐๐ โ 0.86% | $116.28 | $0.30kโ$0.56k
22) ๐๐ญ๐๐ฏ๐ ๐๐๐ง๐๐ฌ๐๐จ๐ซ๐จ๐ฎ๐ ๐ก โ 0.82% | $121.95 | $0.29kโ$0.53k
23) ๐๐๐ญ๐ญ ๐๐ก๐๐๐๐ฒ โ 0.78% | $128.21 | $0.27kโ$0.51k
24) ๐๐๐ซ๐ซ๐๐ง ๐๐ก๐๐ฆ๐๐๐ซ๐ฌ โ 0.74% | $135.14 | $0.26kโ$0.48k
25) ๐๐ค๐ค๐ข๐ ๐๐จ๐จ๐ข๐๐ฆ โ 0.70% | $142.86 | $0.25kโ$0.46k
26) ๐๐๐ง๐๐ฒ ๐๐ง๐ซ๐ข๐ช๐ฎ๐๐ณ โ 0.67% | $149.25 | $0.23kโ$0.44k
27) ๐๐๐ง ๐๐ฎ๐๐๐ข โ 0.65% | $153.85 | $0.23kโ$0.42k
28) ๐๐๐ฏ๐ข๐ ๐๐ข๐ฆ๐๐ซ๐๐๐ โ 0.62% | $161.29 | $0.22kโ$0.40k
29) ๐๐ซ๐๐ง๐๐๐ง ๐'๐๐ซ๐ข๐๐ง โ 0.60% | $166.67 | $0.21kโ$0.39k
30) ๐๐ซ๐ฌ๐ก ๐๐ข๐ง๐ ๐ก โ 0.58% | $172.41 | $0.20kโ$0.38k
31) ๐๐๐ฒ๐ง๐ ๐๐จ๐ง๐ -๐๐๐ซ๐๐ข๐ง๐๐ซ โ 0.56% | $178.57 | $0.20kโ$0.36k
32) ๐๐๐ง ๐๐ฒ๐ง๐๐ก โ 0.54% | $185.19 | $0.19kโ$0.35k
๐ ๐๐๐๐ ๐๐ ๐๐๐โฆ
๐ ๐๐ก๐จโ๐ฌ ๐ญ๐จ๐จ ๐ก๐ข๐ ๐ก?
๐ค ๐๐ก๐จ ๐ ๐จ๐ญ ๐ซ๐จ๐๐๐๐?
๐ฅ ๐๐๐ฆ๐ ๐๐๐ ๐ฉ๐ฅ๐๐ฒ๐๐ซ ๐จ๐ฎ๐ญ๐ฌ๐ข๐๐ ๐ญ๐ก๐ข๐ฌ ๐๐จ๐ฉ ๐๐ ๐ฐ๐ก๐จโ๐ฌ ๐ ๐จ๐ข๐ง๐ ๐ญ๐จ ๐ฐ๐ซ๐๐๐ค ๐ฉ๐๐จ๐ฉ๐ฅ๐ ๐ข๐ง ๐๐ฎ๐ง๐.
Drop your takes below โ and rememberโฆ itโs ๐๐ ๐๐๐ง๐ญ๐๐ซ, not a court ruling ๐๐ฑ