Batting Position and Average: Why No.3 and Opening Averages Differ
How batting position affects the statistical averages that represent excellence — why an opening batsman averaging 40 is the equivalent of a no.6 batsman averaging 32, how the different conditions at each batting position (facing the new ball, inheriting momentum, protecting tail) change the difficulty of scoring, why batting position averages are the correct context for comparing batsmen across positions, and the typical average benchmarks by position in Test cricket.
Why Position Affects Average
Batting conditions change dramatically across the order. Opening batsmen face the new ball at its most dangerous — maximum shine, maximum swing, maximum seam movement, the freshest pace bowlers. Their innings begins with no partnership context, no knowledge of the pitch, and all the risks of a new innings. No.3 batsmen often face similar conditions (if an early wicket falls) but sometimes inherit a partnership and more information about the pitch. Middle-order batsmen (no.4-7) typically face an older ball (which swings less and bounces more predictably), a more worn pitch (some inconsistency but less seam danger), and have the benefit of a partnership to build on (they know the pitch's character before they face their first ball). The tail-enders face the worst batting conditions of all: extreme fatigue, unfamiliar pitches, and the most hostile bowling (spinners from both ends or pace bowlers trying to finish the innings).
Position-Adjusted Benchmarks
Because conditions differ so dramatically by position, a raw batting average of 35 means different things at different positions. Benchmark averages for Test cricket: openers — an average of 35 is solid; 40-45 is excellent; 50+ is exceptional. No.3 — 40 is solid; 50 is excellent; 55+ is exceptional. No.4-5 — 35 is solid; 45 is excellent (they get easier conditions than openers but must provide anchoring innings). No.6 — 30 is solid (they often bat with lower-quality partners, affecting their dismissal modes); 40 is excellent. No.7 — 25 is solid. These benchmarks adjust downward as position increases because the batting conditions progressively improve toward the middle order (then worsen toward the tail). An opening batsman averaging 50 across a career is more impressive than a no.5 batsman averaging the same.
Famous Position-Versus-Average Examples
The impact of batting position on averages is visible in some famous career statistics. Adam Gilchrist (Australia), batting at no.7 with the tail, averaged 47.6 in Tests — extraordinary for that position, equivalent to a no.3 batsman averaging perhaps 60+. Steve Waugh's career Test average (51.1) came largely from a no.5-6 position — still excellent but contextualised differently from Sachin Tendulkar's 53.8 from no.4. Garfield Sobers averaged 57.8 but batted at various positions throughout his career — adjusting these averages by position would give different weightings to innings at different stages. The practical implication: raw career average is useful but incomplete without position context.
Frequently asked questions
Why do late-order batsmen have much lower averages than top-order?
Lower-order batsmen (no.8-11) have lower averages primarily because they face the same difficult bowling while having significantly less batting skill — this combination produces short innings and frequent dismissals. Additionally, lower-order batsmen often face a situation where the partnership's primary goal is protecting the better batsman's wicket (using the tail-ender as a sacrifice) rather than maximising their own scoring. The wicket of the no.11 ends the innings even if the no.10 was set for a big score — the tail's collective weakness means good individual innings by tail-enders are cut short by their partners' dismissals. A tail-ender with a 15 average is performing their statistical role; the comparison to an opener's 40 average does not reflect a difference in effort or commitment, just a massive difference in technical preparation and opponents.
How do batting averages change between Test and limited-overs cricket?
In limited-overs cricket, batting averages are systematically higher than in Tests for top-order batsmen because the conditions (fielding restrictions in powerplay, no slip cordon after 10 overs, familiar 50-over or 20-over format) are more batting-friendly. An ODI opening batsman averaging 45 is considered good but not extraordinary; the same figure in Tests is excellent. T20 batting averages are lower than ODIs because the shorter format means fewer batsmen complete long innings (most T20 innings are 15-20 balls), but the scoring rate is dramatically higher. Position benchmarks in ODIs and T20s differ from Tests: the opener's position in T20s may require maximum aggression from ball 1 rather than the survival-first approach of Test openers.
Is batting average the best way to compare batsmen statistically?
Batting average (runs per dismissal) is the most widely used Test batting statistic but not without limitations. It does not account for position (as discussed), for the quality of opposition bowling faced (a batsman averaging 50 against weaker attacks versus stronger ones), for conditions (some pitches and grounds are more batting-friendly), or for runs not out (an average inflated by large numbers of not-out innings at the tail is different from one built through completions). Alternative or supplementary statistics include: batting average excluding not-outs (giving 'true average'), runs per ball faced (accounting for scoring rate, more relevant in limited-overs), and comparison to the overall run environment (average above mean — comparing the batsman's average to the overall average for the series or period). Modern cricket analytics uses multiple metrics simultaneously rather than relying on average alone.