Research Dashboard

We track what's happening on the ground and the stories about each event. Primary source reporting, cross-referenced and scored for reliability, covering every major event since February 2022.

Updated Daily

561,819 events from 232,024 source articles. Data spans 2022-02-24 to 2026-09-30.

Currently processing 221 more historical reports.

Last updated: 2026-09-30 12:18:22 UTC

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War Events

561,819

Since Feb 24, 2022

Sources

232,024

Source articles analyzed

Unique Entities

177,251

People, places, units

Claims

824,562

Individual assertions recorded

Event Types

16

Oblasts Covered

4,023

Years Spanned

5

Events by Type

πŸ’₯ Attack
10.9% 61,396
βš”οΈ Counterattack
0.7% 3,680
πŸ›‘οΈ Defense
2.9% 16,512
✈️ Aerial
2.1% 11,872
βš“ Naval
0.5% 2,975
🏴 Capture
0.5% 2,901
➑️ Movement
3.3% 18,315
πŸ”₯ Destruction
1.8% 9,915
πŸ”§ Sabotage
1.0% 5,476
πŸ“Š Casualties
4.7% 26,278
πŸ—οΈ Infrastructure
8.4% 47,247
πŸ“¦ Delivery
5.7% 32,184
πŸ₯ Humanitarian
1.9% 10,886
βš–οΈ Law Enforcement
7.0% 39,090
🀝 Diplomatic
23.5% 132,037

Showing top 15 of 16 items

Events by Oblast / Region

15.5% 9,479
11.9% 7,254
11.7% 7,159
10.3% 6,298
8.4% 5,161
7.9% 4,830
7.6% 4,639
6.5% 3,981
6.1% 3,708
5.8% 3,569
4.3% 2,651
4.0% 2,455

Entity Types

39.8% 694,615
24.5% 427,711
14.8% 258,981
12.5% 219,266
8.4% 146,763

Events by Year

111,355
120,177
160,911
87,440
81,936

Geographic Deep Dive

City-level event distribution, oblast warfare profiles, and how the geographic focus has shifted year to year.

Oblast Theater Profiles

Each oblast has a different warfare signature. The stacked bars show event type composition for the most active oblasts.

1. Donetsk β€” 9,479 events
πŸ’₯ Attack (1533) πŸ“Š Casualties (1376) πŸ—οΈ Infrastructure (1221) ➑️ Movement (1214) πŸ“’ Statement (1031) +11 more (3104)
2. Kharkiv β€” 7,254 events
πŸ’₯ Attack (1542) πŸ“Š Casualties (1124) πŸ—οΈ Infrastructure (1054) ➑️ Movement (879) πŸ“’ Statement (567) +11 more (2088)
3. Zaporizhzhia β€” 7,159 events
πŸ’₯ Attack (1626) πŸ—οΈ Infrastructure (1130) ➑️ Movement (853) πŸ“Š Casualties (847) πŸ“’ Statement (614) +11 more (2089)
4. Kherson β€” 6,298 events
πŸ’₯ Attack (1488) πŸ“Š Casualties (1097) πŸ—οΈ Infrastructure (914) ➑️ Movement (573) πŸ“’ Statement (478) +11 more (1748)
5. Kyiv β€” 5,161 events
πŸ—οΈ Infrastructure (922) πŸ’₯ Attack (728) βš–οΈ Law Enforcement (724) πŸ“’ Statement (639) 🀝 Diplomatic (495) +11 more (1653)
6. Dnipropetrovsk β€” 4,830 events
πŸ’₯ Attack (1577) πŸ—οΈ Infrastructure (893) πŸ“Š Casualties (864) βš–οΈ Law Enforcement (322) πŸ“’ Statement (317) +11 more (857)

Geographic Shift by Year

How the top oblasts changed year to year β€” revealing the shifting frontlines of the conflict.

2022 (25,211 events)

2,193
1,806
1,767
1,579

2023 (19,967 events)

2,168
1,587
1,267
1,022

2024 (24,089 events)

2,230
1,911
1,394

2025 (14,878 events)

1,657
1,243
984

2026 (15,884 events)

1,231
1,066
904

Entity Deep Dive

Detailed breakdown of 175,823 unique entities extracted across military units, weapon systems, people, organizations, and locations.

Entities by Faction

πŸ‡ΊπŸ‡¦ Ukrainian
51.9% 12,802
πŸ‡·πŸ‡Ί Russian
36.8% 9,079
🌍 Western
9.6% 2,380
🌐 International
1.7% 408

Faction attribution based on entity name analysis. "Unattributed" indicates entities not yet classified to a specific faction.

Weapon System Categories

11.4% 2,434
11.4% 2,419
7.8% 1,664
5.3% 1,139

Military Unit Categories

47.8% 10,394
13.4% 2,914
2.6% 555

Deeper Analysis

Temporal patterns, co-occurrence analysis, and data quality metrics.

New Entities by Year

2022
56,674
2023
34,142
2024
43,571
2025
21,113
2026
20,323

Number of entities appearing for the first time each year.

Event Type Evolution

How the composition of event types has shifted year-to-year.

Type 20222023202420252026
Attack 9.8% 9.8% 9.9% 12.4% 14.7%
Statement 32.7% 23.4% 23.8% 20.7% 24.6%
Movement 5.6% 3.1% 2.5% 2.7% 2.5%
Diplomatic 14.4% 24.8% 25.2% 29.7% 23.9%
Capture 1.1% 0.3% 0.3% 0.6% 0.4%

Weapon-Unit Co-occurrence

Shahed-136 drone Γ— Russian Armed Forces
1,039
S-300 missile system Γ— Russian Armed Forces
548
T-72 tank Γ— Russian Armed Forces
509
Shahed-136 drone Γ— Ukrainian Air Force
484
Shahed-136 drone Γ— Russian forces
461
HIMARS Γ— Ukrainian Armed Forces
388
HIMARS Γ— Russian Armed Forces
382
artillery Γ— Russian forces
360
MLRS Γ— Russian Armed Forces
355
Shahed-136 drone Γ— Ukrainian Armed Forces
353
artillery Γ— Russian Armed Forces
349
S-300 missile system Γ— Armed Forces of Ukraine
347

How often specific weapons and military units are mentioned together in the same event.

Events per Story

0 events
3.1% 15
1–5
11.3% 54
6–10
20.1% 96
11–20
47.5% 227
21–30
16.3% 78
31+
1.7% 8

Event Density Stats

Average events per story 13.8
Median events per story 14
Maximum events in one story 40
Stories with events 463 / 478
Stories without events 15

Data Notes

  • Events are extracted from 7 primary sources (Stefan Korshak, Kyiv Independent, Ukrainska Pravda, Meduza, Novaya Gazeta Europe, and others) using AI (Kimi K2.5), then cross-referenced against ISW, wire services (Reuters, AP, AFP), and government sources.
  • Each event may have multiple claims from different sources, each with its own confidence level (certain, likely, uncertain, or analytical).
  • Confidence tiers (verified, likely, contested, uncorroborated, debunked) are computed from a weighted reliability algorithm, not editorial judgment.
  • Geographic data is based on location mentions in source text. No events are geocoded to coordinates yet.
  • Entity extraction covers people, military units, weapon systems, organizations, and locations, with faction attribution (Ukrainian, Russian, Western, international).
  • Click any chart label to explore matching events in the Event Explorer.