Raising their game or feasting on the weak (or, which teams do players do well against)
However good a player projection system is, it will always have certain assumptions built in which require some judgement on behalf of the model's creator. This might include how much weight to put on recent games versus historic data or how much to regress team or player conversion rates back to a league or historic average. One such assumption I do not currently factor into my own model is which kind of games a particularly player performs well in. For example, if Harry Kane accounts for 30% of his teams shots inside the box and Spurs are forecast for 10 SiB then his forecast will be three SiB regardless of who the opponents are. The strength of those opponents is of course somewhat baked into how we get to the 10 SiB projection in the first place, but no attention is paid to whether Kane has tended to over or under perform expectations against weaker or stronger teams, or whether he's struggled against teams who deploy three centre backs. The data below takes the first ste...