under, Asian handicap) and even for specific bet types such as parlays or live‑in‑play wagers. The data feed comes from the internal settlement engine, which timestamps every wager, records the stake in PHP, and automatically logs the payout once the event is settled. By aggregating these raw values, the sportsbook can spot trends, identify “leaky” lines, and re‑price odds before a loss spiral begins.

Because the Filipino market is heavily mobile‑driven, the ratio must also be segmented by device type. Mobile‑only bettors tend to wager smaller amounts but place more frequent live bets, which can skew the ratio upward if not accounted for. MostBet therefore maintains separate win‑to‑stake calculations for desktop, mobile app, and SMS‑based betting channels. The final decision‑making dashboard presents a colour‑coded heat map where green means a healthy ratio (≥ 0.96) and red flags a concerning dip (≤ 0.88).

Count Total Tickets For The Week

Collecting the weekly ticket count is the first operational step before any ratio analysis can begin. A “ticket” represents a single bet slip, regardless of how many selections it contains. For MostBet, ticket volume is a direct proxy for market engagement and liquidity.

During each Monday‑to‑Sunday cycle, the settlement backend extracts every ticket ID, the associated stake, and the market class. The extraction script runs at 02:00 PHST, ensuring that all bets placed before the midnight cut‑off are included. In the past twelve months, MostBet has averaged 1.8 million tickets per week, with peaks of over 2.5 million during major football tournaments such as the UEFA Champions League.

The raw ticket count is then broken down into three primary categories:

Single‑bet tickets – a single selection, the most common form.
Multi‑ticket combos – parlays, system bets, and accumulator slips.
Live‑in‑play tickets – bets placed after the match has started.

These categories help the odds‑risk team pinpoint where most of the action is concentrated; mostbet.net.ph reports that in the last quarter of 2023 live‑in‑play tickets grew by 27 %, overtaking single bets in the basketball segment.

** Mostbet weekly total tickets

Beyond sheer quantity, the ticket count also feeds into the average stake per ticket metric. By dividing the weekly total stake (PHP 12.4 million for the same period) by the ticket volume, MostBet found an average of PHP 6.89 per ticket. This figure is crucial when calibrating promotional offers: a high ticket count with a low average stake may indicate that bonuses are driving volume without delivering revenue.

Pull Settled Bets From MostBet History

The settlement history is the authoritative source for any back‑testing or performance audit. MostBet stores every settled wager in a SQL‑based data warehouse that is replicated nightly to a read‑only analytics cluster. Access to this cluster is granted only to the risk‑management team and senior data analysts, ensuring data integrity.

To extract the relevant records, a query is executed that filters by status = ‘settled’, settlement_date within the target week, and bookmaker_id = ‘MostBet_PH’. The result set includes the following fields:

ticket_id – unique identifier.
sport – e.g., football, basketball, boxing.
market_type – 1X2, over/under, handicap, etc.
stake_php – amount risked in Philippine pesos.
payout_php – amount returned to the bettor (zero for losses).
outcome – win, loss, or push.
settlement_timestamp – precise time of resolution.

The query typically returns ≈ 1.6 million rows for a busy week. After extraction, the data is exported to a Parquet file for fast columnar processing in the analytics pipeline. The pipeline then enriches each record with odds format (decimal or fractional) and user segmentation data (new vs. veteran, VIP tier).

** Mostbet settled bets history

Because MostBet supports multiple currencies for its offshore customers, a currency conversion step is applied only to the domestic PHP segment; foreign‑currency bets are excluded from the win‑to‑stake ratio calculation to avoid exchange‑rate distortion.

Finally, the cleaned dataset is stored in a version‑controlled Git repo, enabling auditors to reproduce any historical analysis and ensuring compliance with the Data Privacy Act of 2012 as well as PAGCOR’s reporting requirements.

Note Wins Losses And Pushes

With the settled‑bet dataset in hand, the next step is to classify each outcome. A win adds the payout to the total won amount, a loss contributes only the stake to the total staked amount, and a push (or “no‑action”) returns the stake to the bettor, effectively neutralising the ticket for ratio purposes.

The classification process is implemented in a Python 3.11 script that iterates over each row. For a win, the script increments two counters: total_won_php += payout_php and total_staked_php += stake_php. For a loss, only total_staked_php is increased. Pushes trigger total_staked_php += stake_php and total_won_php += stake_php, keeping the net effect zero. This ensures that the ratio remains unbiased by refunded bets.

** “MostBet wins, losses & pushes”

During the first quarter of 2024, MostBet recorded the following distribution across all sports:

Outcome	Count	Percentage
Win	732 842	45.9 %
Loss	819 317	51.4 %
Push	48 141	3.0 %

The push rate of roughly 3 % aligns with industry averages for football and basketball markets, where half‑time/quarter‑time bets are common. However, a push rate exceeding 5 % in niche sports such as e‑Sports would prompt a review of the rule‑setting engine, as it may indicate ambiguous market definitions.

Beyond simple counts, the script also records profit per sport by grouping outcomes. For example, football generated PHP 4.9 million in net profit, while basketball contributed PHP 2.7 million. These figures are later compared against the win‑to‑stake ratios to confirm that high profit does not stem from a few outlier events.

The classification stage also flags “high‑volatility tickets” – those with stakes exceeding PHP 10,000 and odds above 4.00. Such tickets are routed to the Fraud Detection Unit for additional scrutiny, as they may be linked to match‑fixing or insider betting.

Divide PHP Won By PHP Staked

The core ratio is now straightforward:

[
\text{Win‑to‑Stake Ratio} = \frac{\text{Total Won (PHP)}}{\text{Total Staked (PHP)}}
]

For the most recent week, the aggregated numbers were:

Total Won: PHP 9,842,317
Total Staked: PHP 12,374,501

The resulting ratio 0.795 indicates that for every peso wagered, the bookmaker returned roughly 79.5 ¢ to its customers. This is a typical margin for a well‑balanced sportsbook, translating to a house edge of about 20.5 % before promotional adjustments.

When broken down by sport, the figures shift dramatically:

Sport	Won (PHP)	Staked (PHP)	Ratio
Football	4,921,004	6,112,537	0.805
Basketball	2,715,389	3,208,921	0.847
Boxing	542,107	791,484	0.685
E‑Sports	364,817	516,802	0.706
Others	219,000	345,757	0.634

Football and basketball show relatively healthy ratios, staying above the 0.80 threshold that MostBet designates as “strong”. Boxing, E‑Sports, and the catch‑all “Others” category fall below 0.70, signalling that odds may be too generous or that promotional pressure is distorting the natural market balance.

The ratio also informs bonus‑budget allocation. MostBet currently offers a 150 % welcome bonus up to PHP 5,000 for new users and a PHP 1,000 free bet every Friday for active bettors. By applying the ratio to the net exposure of each promo, the finance team can forecast the incremental cost and ensure it does not push the overall ratio below the sustainability limit of 0.75.

Compare Ratios For Each Main Sport

Having isolated the individual sport ratios, the next analytical layer involves a side‑by‑side comparison to spot outliers and to prioritize resource allocation. The table below ranks the main sports by ratio from strongest to weakest, while also providing ancillary metrics that help explain the performance.

Rank	Sport	Ratio	Avg. Odds (Decimal)	Avg. Stake per Ticket (PHP)	Promo Influence (%)
1	Basketball	0.847	2.12	7.21	12
2	Football	0.805	2.05	6.89	18
3	Boxing	0.685	1.98	5.76	9
4	E‑Sports	0.706	2.27	6.13	22
5	Others	0.634	2.10	5.34	7

Basketball leads with the highest ratio, driven by a relatively low average stake per ticket and a modest promotional overlay. Football, while generating the largest absolute profit, carries a higher promotional influence (18 %) because of the aggressive “First Goal” and “Double Chance” offers that attract new users.

Boxing and E‑Sports lag behind, and the data suggests two primary causes:

Volatile odds – both sports often feature sudden line movements, which can create “sticky” odds that punters exploit.
Higher promo density – the e‑Sports segment is targeted with daily free‑bet vouchers to maintain engagement, inflating the stake without a proportional win ratio.

The “Others” bucket aggregates niche markets such as horse racing, tennis, and volleyball. Its low ratio signals that the odds‑risk team should consider tightening the margin for these lines or reducing promotional exposure.

By visualising these figures in a heat‑map dashboard, MostBet’s product managers can instantly identify which sports warrant a ratio‑boosting strategy (e.g., raising the vig on football “over/under”) and which can remain unchanged.

Cut Sports With Weak Ratios From MostBet Plan

When a sport consistently underperforms the ratio target of 0.80, the prudent action is to either reduce exposure or re‑price odds. MostBet follows a structured decision‑tree that combines quantitative thresholds with qualitative market insights.

The first gate checks the weekly moving average of the ratio over the past six weeks. If the average falls below 0.72 and the standard deviation exceeds 0.08, the sport moves to the “review” bucket. For the last month, E‑Sports recorded a moving average of 0.69 with a standard deviation of 0.11, triggering an immediate review.

The second gate evaluates promo spend as a proportion of total stake for the sport. Anything above 20 % is deemed unsustainable. Boxing showed a 23 % promo‑to‑stake ratio, prompting the risk team to pause the “KO‑Bonus” that offers a 100 % match on the first boxing bet of the month.

If both gates are met, the following actions are taken:

Odds tightening – increase the vig by 2‑3 percentage points on high‑volume markets.
Bet‑type restrictions – temporarily disable parlays or accumulator options for that sport.
Promotional freeze – halt new bonus campaigns until the ratio climbs above the 0.77 threshold.

These measures are documented in the Risk Action Log and communicated to the Marketing department via an automated ticket in the internal workflow system. The goal is to ensure that the sportsbook returns to a healthy margin without alienating loyal bettors.

A historical case illustrates the effectiveness of this approach. In July 2022, MostBet’s cricket line suffered a ratio drop to 0.61 after an aggressive “World Cup Starter Pack” that offered unlimited free bets. By executing the tiered response—tightening odds by 4 % and suspending the free‑bet program for two weeks—MostBet lifted the cricket ratio back to 0.78 within ten days, recouping PHP 2.3 million in lost margin.

Raise Volume Only Where Ratios Are Strong

Having pruned weak‑performing sports, the next strategic focus is to grow turnover in the strong‑ratio segments. MostBet leverages a combination of targeted promotions, enhanced odds, and personalised marketing to stimulate betting activity where the profit outlook is favourable.

A core tactic is the “Boost & Win” offer, which applies only to sports with a ratio of ≥ 0.80. For basketball and football, MostBet currently runs a 10 % odds boost on selected match‑winner markets every weekend. Historical data shows that such boosts lift the average stake per ticket by 15 % while keeping the ratio within the 0.79‑0.82 band, thanks to the already healthy underlying margin.

Another lever is the VIP loyalty programme. High‑value bettors—those who wager more than PHP 50,000 per month—receive exclusive “cash‑back” rebates capped at PHP 5,000 if their personal win‑to‑stake ratio exceeds 0.85 for the month. This incentive aligns the bettor’s success with the bookmaker’s profitability, encouraging disciplined staking behaviour.

Finally, data‑driven cross‑selling plays a pivotal role. The analytics engine identifies users who predominantly bet on basketball and suggests football accumulator tickets with a PHP 1,200 “first‑accumulator” bonus. Because football already boasts a solid ratio, the cross‑sell does not dilute overall margin, yet it expands the user’s activity footprint.

Since implementing these volume‑focused measures in Q4 2023, MostBet recorded a 23 % increase in total weekly stake for the strong‑ratio sports, while the overall win‑to‑stake ratio held steady at 0.79. This performance demonstrates that disciplined expansion, anchored by robust ratio monitoring, can drive growth without compromising sustainability.