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Forecast · r64-20260730-236b8cdd42f0 · as of 2026-07-30

The Governor · CaliforniaOpen seat

Projected resultModel share · middle 80% of simulations · chance to win
DXavier Becerra5,752,345 votes
54.0
RSteve Hilton4,733,521 votes
44.4
Other170,502 votes
1.6
remainder

Projected turnout: 10,656,368 votes · model estimate, not counted votes.

Displayed shares include the model's Other-vote allowance and therefore add to 100%. Interval endpoints are the model's 10th and 90th percentiles, not a polling margin of error.

SURE — · not yet rateable

How reliable is the evidence behind this race's number — not who wins. A safe seat with no polls can score low while its forecast is easy.

No public poll of this race has been fielded yet. SURE rates poll evidence, so it has nothing to rate here — this is an absence of evidence, not a judgement that the evidence is weak.

Limited evidence: zero polls. The fitted race-error distribution widens automatically; no manual score penalty or race override is applied.

Effective poll evidence0.00
Race-specific error SD6.1 points
Historically calibrated 80% half-range±7.5
Model treatmentprovisional widen-only chamber fallback
Fundamentals Environment Polls Money (FEC) Roster settled

SURE v3 — historically calibrated evidence-conditioned uncertainty · generated 2026-07-27. SURE rates the EVIDENCE behind a race's number, not the outcome: a safe seat with no polls can score low while its forecast is easy. Never a second win probability. It changes only idiosyncratic uncertainty, never the center. Senate marginal intervals are historically calibrated under the stated 0-120 day assumptions; House/Governor conditioning is provisional and widen-only until chamber-specific history passes the same gates.

County by county

County view
Projected margin
R+40R+20EvenD+20D+40
Striped = seat changes partyProjected county outcome

Counties colored by the projected margin — the 2024 result shifted by the state's projected swing, summing exactly to the forecast above. Hover a county for its numbers.

CountyMarginXavier BecerraSteve HiltonTotal
Los AngelesD+20.51,489,168975,4942,504,738
San DiegoD+7.6526,316450,569992,769
OrangeR+7.2425,898493,594934,443
RiversideR+13.7267,558354,093631,759
San BernardinoR+17.7206,353297,175511,715
Santa ClaraD+32.1328,992167,079504,137
AlamedaD+47.2327,464115,305449,968
SacramentoD+11.3241,856192,204441,118
Contra CostaD+29.5227,304122,326355,315
San FranciscoD+61.4216,28950,089270,709
VenturaD+5.9135,746120,472260,384
San MateoD+43.7157,70360,779222,035

All 58 counties, largest projected vote pool first. Projected: the 2024 result shifted by the state's projected swing, summing exactly to the forecast above. Model estimate, not counted votes.

State of the race

Call the Map currently has Becerra ahead of Hilton by D+9.7, with a 96 in 100 chance to win. This is an open seat. That result would keep the seat with Democrats. No current nominee-matched poll average is available, so the forecast is leaning on the non-polling evidence shown below.

Newsom term-limited; Becerra advanced from the June top-two.

CTM forecast
Solid D hold · 96 in 100
Seat
Open · projected hold
Forecast range
D+2.6 to D+16.9
Daily forecast

How the race is moving

96%D win probability today

Since the Jul 21 edition: margin 10.5 pts toward R · win probability -4 pts D

Estimated two-party vote shareLine = estimate · tint = 80% of simulations
D 54.9%● R 45.1%
Win probabilityProbability in each tracked daily edition
D 96%● R 4%

Tracked editions only. The pale segment marks the time remaining to Election Day; it is not fabricated future data. Hover, tap, or focus a chart and use the arrow keys for each edition's exact values.

How the margin was built

Five contributions, summing to the forecast D+9.7. Every model adjustment is published here — including candidate-quality shifts. Read how the whole margin is built →

Comparable evidenceFloor 0.05 · precision discount 0.1

TWIN neighbours

TWIN means Typology-Weighted Inference from Neighbors, Call the Map’s comparable-unit matching engine for any kind of race. It borrows poll residuals only—never centers, terrain, or outcomes. Similarity is demographic and behavioural, not geographic, and each contribution decays with similarity distance. Borrowed evidence always has lower precision than a race’s own polling.

Borrowed term: ±0.000 points. This race has its own usable polling, so TWIN does not return borrowed evidence to it.

Signals at a glance

2024 presidential
D+20.1
Cook PVI
D+12.0

Recent polling

No polls yet for this race — the forecast rests on fundamentals only (partisan lean, fundraising, incumbency).

On the same ballot in California