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EASY MONEY on TENNIS markets -- most traders bet simply on those athletes they have heard about at least once --- not even thinking about the fact that there are niche pieces of knowledge that give a completely different view of this sport ---- every day more than $12m goes through tennis bets and only one percent of traders play smart on @Polymarket now we will analyze how exactly we can become on the same level as the best traders > you must remember they are not gambling players but calculated strategists who do not rely on their emotions, but use the crowd and follow dry facts one of the best trading systems you can analyze every trader by filtering them on polymarket polymarket.com/leaderboard/sp… or on polymarket analytics polymarketanalytics.com/traders STEP 1 -> exclude markets with vague wording -- you need only specific statistics > atp/wta official scorecards > tennisabstract match logs > statsperform tracking feed the clearer the model, the better you can see the situation STEP 2 -> simple services for effective analytics i will say right away these resources are free and everyone can use them > tennis abstract tennisabstract.com elo rating, surface-adjusted win %, and career patterns > ultimate tennis statistics ultimatetennisstatistics.com serve+return performance, hold/break %, clutch rating > atp/wta statshub atptour.com/en/stats/stats… first-serve efficiency, second-serve vulnerability, win probability baselines -- what you need to find > difference in serve quality on different surfaces > players with a “fragile” second serve > left-handers vs right-handers, asymmetric statistics > players who consistently “fall off” in the third set STEP 3 -> more professional analytics tools some of them may be paid or require certain knowledge, and here our task is to find where the coefficient is wrong > sportsdataio sportsdata.io/sportradar-alt… pace assessment, unforced errors, shot depth > sportbex tennis api sportbex.com/tennis-api/ reaction time, movement speed, live shot placement > jeff sackmann github github.com/JeffSackmann/t… exhaustive models for point prediction > the action network pro/edge actionnetwork.com/pricing surface weighting + injury adjustment STEP 4 -> as in any sport, the athlete’s form matters, and tennis is a sport where everything depends on one person therefore most often the athlete's health and emotional state are more important than the matches won -- we must track > lower-body injuries (the most critical for movement) > duration of previous matches (burnout effect) > tournament schedule: back-to-back on hard courts = minus legs > surface change (especially clay to grass) > history of performances against grinders and big servers -- tools > physioroom.com > itftennis.com/en/about-us/te… > THE MOST IMPORTANT TOOL is interviews watch the last 4 interviews and track how the athlete’s behavior changes, this is the best source of current form step 5 -> hidden opportunities > altitude advantage > the ball speed increases, big servers get a huge boost > air temperature,at +28°C and above, second-serve performance drops for players who rely heavily on spin > court speed index > fast courts kill players with long rallies > mental momentum effect, players with a high % of decisive games win tiebreaks 14% more often than the model predicts > tournament fatigue, players with 3+ consecutive three-set matches lose the next set in 70% of cases -- phase trading framework phase 1: early window t-48h to t-3h -- compare surface-adjusted elo with polymarket odds especially look for mismatch between > hold/break % > second-serve points won > recent fitness load a player with a slow serve on a fast court? the market almost always overestimates their chance phase 2: lineup window t-2h to t-15min -- check > weather conditions > court speed index > training clips from the tournament > pre-match interviews, tennis players often reveal things -- example of an edge a player complains about heavy court > the match will be long > overs and underdog live-entry are profitable phase 3: live window in-play this is where the real life change appears -- live traders look for > the player served 4 double faults but still held serve, markets haven’t adjusted risk yet > the player lost a set but leads in winners–errors, value on comeback > xg-like metrics: shot depth, rally length, foot speed > if a player is losing 0–1 in sets but winning extended rallies 15–4, this is almost textbook reversal close positions before the super tie-break, that’s chaos dyor btw i used to play tennis professionally people were actually betting on me too xD

FOUR HORSEMEN OF @Polymarket > @polytraderai an autonomous ai trader that analyzes historical data news and market patterns > @polysights powerful analytics packed with metrics summaries and insights > @standdottrade tracks whales and mirrors their trades > @rainmakerdotfun combines analytics arbitrage and copytrading through ai agents -- basically you build a full circle from analysis to execution while optimizing every trade

damn, that was easier than i expected instant tx and no fees at all beautiful animation, i’m done with boring swap apps i made my choice @prjx_hl amazing product, thanks @Lamboland_ .

gm fam yesterday two big things dropped @0G_labs rolled out a checker gotta say i’m not eligible @anoma opened reg for their drop and again i’m not eligible what about you?

i feel like that’s why prediction markets are taking off to get into futures, you gotta grind through endless info, analyze, and understand market details prediction markets cut it down to one simple question: up or down? and that simplicity is what hooks people @trylimitless

at first i got lost learning @SentientAGI , but now everything clicked sentient chat uses GRID ROMA is an open-source framework for building multi-agent ai setups

just got focused and bam, huge news dropping: @base launching a token @opensea launching a token @MetaMask with their own stablecoin $mUSD big moves, right?

fam breaking news @trylimitless coming on @KaitoAI placed a quick bet on bitcoin pumping this hour, just for the vibe ABOVE or BELOW always dior

took a short position on eth with the way the chart’s moving, it felt like a near 100% win chance. @trylimitless

another little victory, but whatever the real play is wallchain and k4ito think about it — one post and you’re farming drops on both platforms if that ain’t bullish, idk what is @trylimitless

if you step away from shitposting and actually dig into the tech @SentientAGI , understanding this is a must ROMA sets up the structure and control system for combining multiple agents GRID hooks you up with a huge pool of agents and ready-to-use data

checked the new @opensea farming rules again caught this: rare nft drops from chests are possible — Pudgy Penguin, Bored Ape lol, that could turn our whole life into a before-and-after story

EASY MONEY on TENNIS markets -- most traders bet simply on those athletes they have heard about at least once --- not even thinking about the fact that there are niche pieces of knowledge that give a completely different view of this sport ---- every day more than $12m goes through tennis bets and only one percent of traders play smart on @Polymarket now we will analyze how exactly we can become on the same level as the best traders > you must remember they are not gambling players but calculated strategists who do not rely on their emotions, but use the crowd and follow dry facts one of the best trading systems you can analyze every trader by filtering them on polymarket polymarket.com/leaderboard/sp… or on polymarket analytics polymarketanalytics.com/traders STEP 1 -> exclude markets with vague wording -- you need only specific statistics > atp/wta official scorecards > tennisabstract match logs > statsperform tracking feed the clearer the model, the better you can see the situation STEP 2 -> simple services for effective analytics i will say right away these resources are free and everyone can use them > tennis abstract tennisabstract.com elo rating, surface-adjusted win %, and career patterns > ultimate tennis statistics ultimatetennisstatistics.com serve+return performance, hold/break %, clutch rating > atp/wta statshub atptour.com/en/stats/stats… first-serve efficiency, second-serve vulnerability, win probability baselines -- what you need to find > difference in serve quality on different surfaces > players with a “fragile” second serve > left-handers vs right-handers, asymmetric statistics > players who consistently “fall off” in the third set STEP 3 -> more professional analytics tools some of them may be paid or require certain knowledge, and here our task is to find where the coefficient is wrong > sportsdataio sportsdata.io/sportradar-alt… pace assessment, unforced errors, shot depth > sportbex tennis api sportbex.com/tennis-api/ reaction time, movement speed, live shot placement > jeff sackmann github github.com/JeffSackmann/t… exhaustive models for point prediction > the action network pro/edge actionnetwork.com/pricing surface weighting + injury adjustment STEP 4 -> as in any sport, the athlete’s form matters, and tennis is a sport where everything depends on one person therefore most often the athlete's health and emotional state are more important than the matches won -- we must track > lower-body injuries (the most critical for movement) > duration of previous matches (burnout effect) > tournament schedule: back-to-back on hard courts = minus legs > surface change (especially clay to grass) > history of performances against grinders and big servers -- tools > physioroom.com > itftennis.com/en/about-us/te… > THE MOST IMPORTANT TOOL is interviews watch the last 4 interviews and track how the athlete’s behavior changes, this is the best source of current form step 5 -> hidden opportunities > altitude advantage > the ball speed increases, big servers get a huge boost > air temperature,at +28°C and above, second-serve performance drops for players who rely heavily on spin > court speed index > fast courts kill players with long rallies > mental momentum effect, players with a high % of decisive games win tiebreaks 14% more often than the model predicts > tournament fatigue, players with 3+ consecutive three-set matches lose the next set in 70% of cases -- phase trading framework phase 1: early window t-48h to t-3h -- compare surface-adjusted elo with polymarket odds especially look for mismatch between > hold/break % > second-serve points won > recent fitness load a player with a slow serve on a fast court? the market almost always overestimates their chance phase 2: lineup window t-2h to t-15min -- check > weather conditions > court speed index > training clips from the tournament > pre-match interviews, tennis players often reveal things -- example of an edge a player complains about heavy court > the match will be long > overs and underdog live-entry are profitable phase 3: live window in-play this is where the real life change appears -- live traders look for > the player served 4 double faults but still held serve, markets haven’t adjusted risk yet > the player lost a set but leads in winners–errors, value on comeback > xg-like metrics: shot depth, rally length, foot speed > if a player is losing 0–1 in sets but winning extended rallies 15–4, this is almost textbook reversal close positions before the super tie-break, that’s chaos dyor btw i used to play tennis professionally people were actually betting on me too xD

gm fam yesterday two big things dropped @0G_labs rolled out a checker gotta say i’m not eligible @anoma opened reg for their drop and again i’m not eligible what about you?

FOUR HORSEMEN OF @Polymarket > @polytraderai an autonomous ai trader that analyzes historical data news and market patterns > @polysights powerful analytics packed with metrics summaries and insights > @standdottrade tracks whales and mirrors their trades > @rainmakerdotfun combines analytics arbitrage and copytrading through ai agents -- basically you build a full circle from analysis to execution while optimizing every trade

damn, that was easier than i expected instant tx and no fees at all beautiful animation, i’m done with boring swap apps i made my choice @prjx_hl amazing product, thanks @Lamboland_ .

fam breaking news @trylimitless coming on @KaitoAI placed a quick bet on bitcoin pumping this hour, just for the vibe ABOVE or BELOW always dior

if you step away from shitposting and actually dig into the tech @SentientAGI , understanding this is a must ROMA sets up the structure and control system for combining multiple agents GRID hooks you up with a huge pool of agents and ready-to-use data

checked the new @opensea farming rules again caught this: rare nft drops from chests are possible — Pudgy Penguin, Bored Ape lol, that could turn our whole life into a before-and-after story

just got focused and bam, huge news dropping: @base launching a token @opensea launching a token @MetaMask with their own stablecoin $mUSD big moves, right?

took a short position on eth with the way the chart’s moving, it felt like a near 100% win chance. @trylimitless

another little victory, but whatever the real play is wallchain and k4ito think about it — one post and you’re farming drops on both platforms if that ain’t bullish, idk what is @trylimitless

gn fam > first season of @idOS_network on @wallchain is over > second one’s coming soon and i’m gonna put in even more work to get in > also haven’t forgotten about @HeyElsaAI got 37 days to hit lb still a lot of grinding ahead in ct and i’m happy about it