South India 2026 · Verdict In
Consolidated Accuracy Report · 4 May 2026

We were right where we said we'd be.
And honest where we weren't.

Across 404 seats in Tamil Nadu, Kerala, and Puducherry, VoteMatrix's pre-poll AI consensus called 27 of 29 marquee battles correctly and predicted 2 of 3 governments within range. We also missed Tamil Nadu's TVK wave — alongside every published pre-poll model in India. Here is the consolidated, unfiltered scorecard.

Marquee Battle Accuracy
93%
27 of 29 high-profile constituency battles called for the right alliance — same definition applied across Tamil Nadu, Kerala, and Puducherry.
Government Outcome Calls
2/3
Kerala UDF and Puducherry NDA called correctly. Tamil Nadu TVK wave missed — like every pre-poll model in India.
404
Seats Analysed
3
States Covered
29
Marquee Battles
2/3
Top Scenarios Hit
State-by-State Verdict

Three states. Three different stories.

The model performed cleanly where 2024 Lok Sabha signals translated to assembly arithmetic. It broke where a new force converted vote-share to seats faster than any historical precedent.

Tamil Nadu ✗ Wave Missed

The TVK Surprise

234 seats · ECI declared 4 May
96%
Top-3 accuracy — the actual winner appeared in our top-3 named candidates in 225 of 234 seats. Direction-of-government was wrong because TVK converted vote-share to seats at unprecedented rates.
Full TN Scorecard
Kerala ✓ Government Called

The UDF Wave

140 seats · ECI declared 4 May
93%
Safe-tier accuracy — 13 of 14 highest-confidence calls landed. Both BJP breakthrough seats (Nemom, Kazhakkoottam) called exactly right. UDF government, top scenario, all confirmed.
Full Kerala Scorecard
Puducherry ✓ Within Range

NDA, Confirmed

30 seats · ECI declared 4 May
16/16–18
NDA seat count fell squarely inside our 14–18 band, three weeks before polling. Top scenario "NDA Majority @ 55%" played out. Rangasamy returned as CM as called.
Full Puducherry Scorecard
Marquee Battle Detail

27 of 29 marquee battles called.

Every constituency we explicitly flagged as a high-profile battle in our pre-poll briefs — CM seats, opposition leaders, marquee candidates, breakthrough bets. Same definition applied to all three states.

TN · #12 PERAMBUR
C. Joseph Vijay
TVK ✓ · Vijay's debut seat
TN · #141 TIRUCHIRAPPALLI EAST
C. Joseph Vijay
TVK ✓ · second seat held
TN · #86 EDAPPADI
E.K. Palaniswami
AIADMK ✓ · Opposition Leader
TN · #200 BODINAYAKANUR
O. Panneerselvam
DMK+ ✓ · defection bet
TN · #19 CHEPAUK-TRIPLICANE
Udhayanidhi Stalin
DMK+ ✓ · Dy CM seat
TN · #140 TIRUCHI WEST
K.N. Nehru
DMK+ ✓ · senior minister
TN · #120 COIMBATORE SOUTH
V. Senthil Balaji
DMK+ ✓ · constituency-shift bet
TN · #119 THONDAMUTHUR
S.P. Velumani
AIADMK ✓ · Coimbatore strongman
TN · #143 LALGUDI
R. Leema Rose Martin
AIADMK ✓ · 1-point margin call
TN · #106 GOBICHETTIPALAYAM
K.A. Sengottaiyan
TVK ✓ · brief flagged him at 26%
KL · DHARMADOM
Pinarayi Vijayan
CPI(M) ✓ · CM seat held
KL · PUTHUPPALLY
Chandy Oommen
INC ✓ · Oommen Chandy legacy
KL · MALAPPURAM
P.K. Kunhalikutty
IUML ✓ · supremo's stronghold
KL · PARAVUR
V.D. Satheesan
INC ✓ · Opposition Leader
KL · NEMOM
Rajeev Chandrasekhar
BJP ✓ · breakthrough call
KL · KAZHAKKOOTTAM
V. Muraleedharan
BJP ✓ · second BJP seat
KL · PALA
Mani C. Kappan
UDF-aligned ✓ · Christian heartland
KL · HARIPAD
Ramesh Chennithala
INC ✓ · senior leader's seat
KL · BEYPORE
P.A. Mohamed Riyas
CPI(M) ✓ · sole LDF marquee
KL · PALAKKAD
Ramesh Pisharody
INC ✓ · tri-polar test
KL · THIRUVANANTHAPURAM
C.P. John
CMP-KSC ✓ · capital city
PY · #9 THATTANCHAVADY
N. Rangasamy
NDA ✓ · CM's home turf
PY · #4 MANGALAM
N. Rangasamy
NDA ✓ · dual-seat strategy
PY · #16 ORLEAMPETH
G. Nehru Kuppusamy
NMK/TVK+ ✓ · NMK fiefdom
PY · #27 KARAIKAL SOUTH
A.M.H. Nazeem
SPA ✓ · DMK veteran
PY · #30 YANAM
Malladi Krishna Rao
NDA ✓ · 20-year fiefdom
PY · #14 RAJ BHAVAN
Vignesh Kannan
SPA ✓ · sympathy wave
KL · THRISSUR · MISS
Padmaja Venugopal (NDA)
UDF flipped it · Suresh Gopi halo didn't replicate
KL · VATTIYOORKAVU · MISS
R. Sreelekha (NDA)
UDF flipped it · urban Nair belt swung back
Both misses came from the same thesis — that the 2024 Lok Sabha BJP surge in Thrissur and the urban Nair vote in Vattiyoorkavu would translate to 2026 assembly seats. Neither did. Every other marquee call across three states and three different competitive systems landed on the right alliance.
Cross-State Analysis

The same patterns showed up everywhere.

Where the model worked, it worked for the same reasons in all three states. Where it broke, it broke for similar reasons too.

What worked across all three states

  • Marquee personality calls

    Pinarayi (Dharmadom), Rangasamy (Thattanchavady, Mangalam), Vijay (Perambur, Trichy East), OPS (Bodi), EPS (Edappadi), Kunhalikutty (Malappuram), Satheesan (Paravur), Chennithala (Haripad) — every CM, ex-CM, opposition leader and supremo call landed.

  • Stronghold + 2024 LS signal

    Where 2024 Lok Sabha vote shares anchored a clean stronghold — DMK+ delta belt, IUML's Malappuram cluster, NDA's Yanam enclave — the model held cleanly. 95% recall on DMK+ in TN; 12 of 12 IUML strongholds in Malappuram.

  • Regional clustering

    Coherent geographic blocs landed almost in entirety. 12 of 12 Kongu/Salem-Dharmapuri NDA seats in TN. Both BJP breakthrough seats in southern Travancore (Nemom, Kazhakkoottam) called exactly. Yanam NDA isolated correctly from mainland Puducherry.

  • Top-scenario probability

    Of the three states, our highest-probability published scenario materialised in two — UDF Majority (Kerala, ~50%) and NDA Majority (Puducherry, ~55%). For a probabilistic model, that's the bar that matters.

What we got wrong, in pattern

  • New-force vote-share-to-seat conversion

    TVK's seat conversion in TN (108 from 22% vote-share) and BJP's late surge in PY (3 Independent flips in addition to 2 BJP wins) both broke our historical FPTP curves. Old third-party precedents don't capture geographic concentration of new movements.

  • Late-stage incumbent collapse under-priced

    In TN, 87 DMK+-called seats went TVK. In Kerala, we predicted 64 LDF seats, actual was 37 — we over-credited CPI(M) cadre resilience. In PY, six SPA-leaning toss-ups flipped to NDA. Same root cause: incumbent floors held in our model when they didn't on the ground.

  • Urban anti-incumbency under-weighted

    Chennai (#14–#33) and Madurai (#189–#195) swept TVK in TN. North Kozhikode flipped UDF in 10 LDF-call seats. Our model treated welfare-scheme delivery as a strong urban floor; voters treated it as a baseline expectation, not a vote-puller.

  • Independents priced as marginal

    PY had three Independent winners (Kadirkamam, Nedungadu, Mahé). In TN, the Sengottaiyan-on-TVK kind of cross-cutting vote was rarer than it should have been in our model. Strong local figures running outside their home alliance need their own probability bucket.

Methodology Refinements

Three corrections we're making before 2031.

Forecasting credibility comes from owning misses publicly and shipping the fix. These three are non-negotiable for the next cycle.

01

Vote-share-to-seat curves, recalibrated

New-party seat conversion will be modeled on real geographic concentration data, not historical FPTP averages. The TVK lesson is that a young party with even district-level concentration can convert at 5x historical third-party rates.

02

Urban anti-incumbency, weighted independently

Welfare-scheme delivery will no longer act as an urban floor. Urban anti-incumbency signals will be tracked as their own variable and applied with a separate, larger uncertainty band — particularly in Chennai, Bengaluru, Hyderabad, and Madurai-class metros.

03

Higher floors for incumbents in volatile races

No "Safe" or "Clean Sweep" tier without an 8+ point cushion across all model runs. Sitting ministers and high-margin incumbents in volatile constituencies will default to "Lean" or "Toss-up" when local cross-currents are present.

Detailed Reports

Read the full reports.

Two layers of detail — the verified accuracy scorecards from each state's verdict, and the constituency-level pre-poll prediction pages that started it all.

2026 Accuracy Reports · Results Verified
State Assembly Election Predictions · Pre-poll AI Forecasts
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