Dora the Explorer — CS2 Stats
76561198336344184[U:1:376078456]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like b1t 91% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 557ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 19 | 9–10 | 47% | 0.02 | |
| C | 18 | 7–11 | 39% | -0.00 | |
| A | 17 | 10–7 | 59% | -0.01 | |
| A | 16 | 9–7 | 56% | 0.01 | |
| D | 14 | 3–11 | 21% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.07 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 150 | 49% | 1.20 | 18.2 |
| Inferno | 111 | 41% | 1.14 | 17.8 |
| Nuke | 105 | 60% | 1.19 | 17.8 |
| Ancient | 97 | 51% | 1.23 | 17.8 |
| Vertigo | 61 | 59% | 1.31 | 20.4 |
| Overpass | 42 | 60% | 1.43 | 18.6 |
| Dust2 | 30 | 53% | 1.04 | 15.5 |
| Train | 24 | 58% | 1.11 | 17.6 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3715 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.531% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | 0.05 | 22% | 23 Aug → | ||
| 13–3 | -0.02 | 7% | 23 Aug → | ||
| 16–12 | -0.01 | 16% | 23 Aug → | ||
| 13–8 | 0.03 | 27% | 22 Aug → | ||
| 8–13 | -0.04 | 28% | 22 Aug → | ||
| 7–13 | -0.06 | 10% | 14 Aug → | ||
| 13–9 | -0.06 | 14% | 14 Aug → | ||
| 13–10 | 0.01 | 16% | 14 Aug → | ||
| 13–11 | 0.08 | 23% | 11 Aug → | ||
| 10–13 | -0.02 | 12% | 11 Aug → | ||
| 13–11 | 0.08 | 17% | 11 Aug → | ||
| 6–13 | 0.00 | 8% | 11 Aug → | ||
| 13–8 | 0.04 | 16% | 9 Aug → | ||
| 5–13 | 0.01 | 14% | 9 Aug → | ||
| 11–13 | 0.03 | 15% | 9 Aug → | ||
| 11–13 | -0.01 | 20% | 9 Aug → | ||
| 13–8 | 0.03 | 15% | 9 Aug → | ||
| 13–5 | -0.01 | 14% | 9 Aug → | ||
| 10–13 | 0.07 | 31% | 7 Aug → | ||
| 16–13 | 0.00 | 17% | 7 Aug → | ||
| 4–13 | 0.05 | 20% | 7 Aug → | ||
| 11–13 | 0.02 | 13% | 6 Aug → | ||
| 13–7 | 0.05 | 16% | 6 Aug → | ||
| 14–16 | 0.02 | 13% | 6 Aug → | ||
| 7–13 | 0.00 | 13% | 6 Aug → | ||
| 13–8 | 0.02 | 7% | 3 Aug → | ||
| 16–14 | -0.01 | 16% | 2 Aug → | ||
| 13–6 | 0.02 | 16% | 2 Aug → | ||
| 9–13 | 0.03 | 9% | 2 Aug → | ||
| 4–13 | -0.06 | 21% | 2 Aug → | ||
| 11–13 | -0.01 | 30% | 1 Aug → | ||
| 10–13 | -0.05 | 22% | 1 Aug → | ||
| 11–13 | -0.04 | 10% | 31 Jul → | ||
| 13–9 | 0.03 | 22% | 31 Jul → | ||
| 13–8 | -0.05 | 17% | 31 Jul → | ||
| 13–11 | 0.06 | 13% | 31 Jul → | ||
| 13–4 | 0.04 | 14% | 28 Jul → | ||
| 9–13 | -0.06 | 16% | 27 Jul → | ||
| 13–9 | 0.02 | 22% | 27 Jul → | ||
| 13–10 | 0.06 | 18% | 26 Jul → | ||
| 7–13 | 0.01 | 21% | 26 Jul → | ||
| 13–11 | 0.02 | 10% | 25 Jul → | ||
| 13–8 | 0.04 | 22% | 25 Jul → | ||
| 4–13 | 0.04 | 18% | 24 Jul → | ||
| 10–13 | 0.02 | 23% | 24 Jul → | ||
| 13–5 | 0.06 | 15% | 24 Jul → | ||
| 10–13 | 0.05 | 17% | 24 Jul → | ||
| 6–13 | 0.03 | 17% | 24 Jul → | ||
| 13–8 | 0.04 | 26% | 21 Jul → | ||
| 13–9 | -0.01 | 16% | 21 Jul → | ||
| 1–13 | -0.05 | 19% | 21 Jul → | ||
| 13–9 | -0.04 | 19% | 21 Jul → | ||
| 7–13 | 0.04 | 25% | 19 Jul → | ||
| 15–15 | 0.10 | 21% | 19 Jul → | ||
| 13–7 | 0.03 | 16% | 19 Jul → | ||
| 8–13 | -0.00 | 17% | 19 Jul → | ||
| 6–13 | -0.08 | 13% | 17 Jul → | ||
| 13–8 | 0.01 | 16% | 17 Jul → | ||
| 6–13 | -0.03 | 17% | 17 Jul → | ||
| 1–13 | -0.06 | 31% | 17 Jul → | ||
| 11–13 | -0.00 | 36% | 17 Jul → | ||
| 13–2 | -0.04 | 19% | 15 Jul → | ||
| 13–8 | 0.03 | 21% | 15 Jul → | ||
| 7–13 | -0.02 | 33% | 13 Jul → | ||
| 13–8 | 0.04 | 26% | 13 Jul → | ||
| 6–13 | -0.04 | 10% | 13 Jul → | ||
| 13–6 | -0.08 | 10% | 13 Jul → | ||
| 10–13 | 0.04 | 17% | 13 Jul → | ||
| 13–8 | 0.01 | 7% | 13 Jul → | ||
| 13–5 | -0.04 | 25% | 9 Jul → | ||
| 13–10 | -0.07 | 14% | 9 Jul → | ||
| 13–3 | 0.04 | 10% | 9 Jul → | ||
| 5–13 | 0.01 | 10% | 6 Jul → | ||
| 6–13 | 0.01 | 9% | 6 Jul → | ||
| 5–13 | -0.10 | 19% | 4 Jul → | ||
| 8–13 | -0.03 | 38% | 4 Jul → | ||
| 11–13 | -0.02 | 21% | 1 Jul → | ||
| 8–13 | -0.05 | 15% | 1 Jul → | ||
| 8–13 | 0.06 | 31% | 30 Jun → | ||
| 7–13 | 0.04 | 14% | 30 Jun → | ||
| 9–13 | -0.02 | 20% | 30 Jun → | ||
| 7–13 | -0.01 | 19% | 30 Jun → | ||
| 9–13 | -0.05 | 13% | 28 Jun → | ||
| 16–13 | 0.02 | 13% | 28 Jun → | ||
| 16–13 | 0.08 | 31% | 26 Jun → | ||
| 13–7 | -0.01 | 17% | 26 Jun → | ||
| 11–13 | -0.02 | 8% | 26 Jun → | ||
| 12–16 | -0.07 | 20% | 26 Jun → | ||
| 13–11 | 0.07 | 19% | 23 Jun → | ||
| 6–13 | -0.05 | 13% | 23 Jun → | ||
| 13–8 | -0.02 | 13% | 21 Jun → | ||
| 13–9 | 0.00 | 6% | 21 Jun → | ||
| 4–13 | 0.02 | 21% | 21 Jun → | ||
| 13–1 | 0.11 | 25% | 21 Jun → | ||
| 6–13 | -0.05 | 15% | 21 Jun → | ||
| 8–13 | -0.00 | 40% | 19 Jun → | ||
| 8–13 | 0.05 | 18% | 19 Jun → | ||
| 13–2 | 0.23 | 20% | 18 Jun → | ||
| 1–13 | -0.09 | 30% | 5 Jun → | ||
| 7–13 | -0.04 | 4% | 2 Jun → |
Match data via Leetify.
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