Reference

Betting maths, defined

Every number Stratos shows comes from one of these formulas. Prices and market chances are facts about what a sportsbook offered. Model estimates, edges and expected value are our own calculations — useful, but never a promise about a result.

Bet types

Money line
A bet on who wins the event outright, with no handicap applied.Win if side score > opponent score; a draw on a two-way market pushes.
Point spread
A handicap added to one side's score so the two sides are priced closer to even.Adjusted margin = side score - opponent score + handicap. Above 0 wins, 0 pushes.e.g. Team A -3.5 wins 27-20: 27 - 20 - 3.5 = +3.5, a win.
Total (over / under)
A bet on the combined score of both sides against a posted number.Over wins if home + away > line. Equal to the line pushes.
Push
A tie against the number. The stake is returned. Only whole-number lines can push.
Player prop
A bet on one player's own statistic — points, yards, strikeouts — against a line.Over wins if the official box-score figure > line.
Alternate line
The same market at a different number, priced accordingly.
Same-game market
Several selections from one event combined. Because the legs share a game script they are not independent, so the true chance is not simply the product of the legs.
Futures / outright
A bet settled at the end of a competition. There is no clean two-way consensus behind these prices, so the fair estimate is weaker.
Parlay
Several selections that must all land. The prices multiply, and so does the risk.Combined decimal price = leg 1 x leg 2 x ... x leg n.

Prices & probability

Decimal odds
Your total return per 1 staked, stake included.e.g. 2.50 returns 2.50 for every 1 risked — 1.50 profit.
American odds
Profit on a 100 stake (positive) or the stake needed to win 100 (negative).+150 = 2.50 decimal. -150 = 1.667 decimal.
Implied probability
How often a bet must land for the price to break even. It still contains the book's margin, so a market's implied chances sum to more than 100%.Implied probability = 1 / decimal oddse.g. -150 implies 150 / (150 + 100) = 60%.
Overround (vig, margin)
How much more than 100% a market's implied chances add up to. That excess is the book's built-in edge.Overround = sum of implied probabilities - 1e.g. 55% + 50% = 105%, a 5% margin.
No-vig probability
The market's own view once the margin is scaled out. Still market data — it is what the price says, not what we estimate.No-vig probability = implied probability / sum of all implied probabilities
Model probability
Stratos's own estimate of the chance. It is stored alongside the market number and never replaces it.
Probability edge
The gap between the model estimate and the no-vig market chance, in percentage points.Edge = model probability - no-vig market probabilitye.g. 61% - 54% = +7 points.
Fair odds
The price that would exactly match the model estimate, with no margin either way.Fair decimal = 1 / model probability
Expected value
The theoretical average return per unit staked if the model estimate is right. It is not a promise of profit.EV = probability of winning x decimal price - 1e.g. 0.55 x 2.00 - 1 = +0.10 per 1 staked.
Closing line
The last price before the event starts. Beating it consistently is the usual test of whether picks were priced well.
CLV (closing line value)
The difference between the price you took and the closing price.
Kelly stake
The bankroll fraction that maximises long-run growth at a given edge. Zero when there is no edge.Kelly = EV / (decimal price - 1)

Market movement

Line movement
A change in the number itself — a handicap or total moving.Line movement = current line - opening linee.g. -3 to -4 is a one-point move toward the favourite.
Odds movement
A change in the price at the same number. Tracked separately from line movement; the two are never merged into one figure.e.g. -110 to -125 at the same -3.
Movement velocity
How fast a market is moving.Velocity = line change / hours elapsed
Market volatility
How much a price has been jumping about, measured as the standard deviation of its changes.Volatility = standard deviation of successive price changes
Market regime
A label for current conditions — normal, trending, volatile, news-driven, thin, live. It changes how much weight the estimate deserves.

Statistics

Mean
The average of a series.
Standard deviation
How spread out a series is around its average.
Z-score
How unusual one observation is compared with its history.Z = (value - mean) / standard deviation
Correlation coefficient
How closely two series move together, between -1 and +1. It never proves that one causes the other.r = covariance(X, Y) / (sd(X) x sd(Y))
Sample size
How many observations a figure rests on. Below the minimum, Stratos shows INSUFFICIENT HISTORICAL DATA rather than a number.
Monte Carlo simulation
Running an event many thousands of times under a model to see the whole distribution of results, not just one predicted score.

Model quality

Confidence
How reliable the data behind an estimate is — book depth, agreement, freshness, sample size. It is not the chance of winning.
Calibration
Whether stated chances match reality over many picks: outcomes given 60% should land roughly 60% of the time.
Brier score
The average squared error of a probability forecast. Lower is better; 0 is perfect.Brier = average of (probability - outcome)^2
Log loss
A calibration measure that punishes confident wrong calls heavily.
Data freshness
How recent the underlying observation is: real-time under a minute, recent under ten, stale beyond that, or unavailable.
Observation vs prediction
An observation is something that happened — a line moved after a lineup was announced. A prediction is a model output. Stratos labels them separately and never presents one as the other.

Put the maths to work: odds calculator · parlay calculator · how our picks have actually done.