Hearts — CS2 Stats
76561198318266551[U:1:358000823]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
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 Twistzz 77% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 29 | 14–15 | 48% | -0.02 | |
| C | 26 | 11–15 | 42% | -0.03 | |
| C | 20 | 7–13 | 35% | -0.03 | |
| C | 14 | 5–9 | 36% | -0.03 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 80% | 0.69 | 10.8 |
| Ancient | 2 | 0% | 0.38 | 6.0 |
| Inferno | 1 | 100% | 0.70 | 14.0 |
| Dust2 | 1 | 100% | 0.71 | 15.0 |
| Overpass | 1 | 0% | 0.06 | 1.0 |
| Nuke | 1 | 0% | 0.73 | 11.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.399% — below the 15% mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.7919% — 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.
35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.02 | 14% | 28 Aug → | ||
| 13–4 | -0.00 | 19% | 28 Aug → | ||
| 13–7 | 0.00 | 9% | 28 Aug → | ||
| 13–8 | -0.01 | 14% | 28 Aug → | ||
| 12–6 | -0.07 | 13% | 27 Aug → | ||
| 13–9 | 0.01 | 10% | 26 Aug → | ||
| 3–13 | -0.04 | 26% | 26 Aug → | ||
| 11–13 | 0.02 | 15% | 26 Aug → | ||
| 6–13 | -0.01 | 13% | 26 Aug → | ||
| 13–11 | 0.08 | 13% | 26 Aug → | ||
| 13–11 | -0.02 | 19% | 26 Aug → | ||
| 13–7 | 0.07 | 18% | 26 Aug → | ||
| 13–10 | -0.06 | 7% | 25 Aug → | ||
| 15–15 | -0.07 | 20% | 25 Aug → | ||
| 13–7 | 0.02 | 23% | 25 Aug → | ||
| 13–8 | 0.15 | 31% | 25 Aug → | ||
| 13–10 | -0.06 | 27% | 23 Aug → | ||
| 14–16 | -0.06 | 8% | 23 Aug → | ||
| 4–9 | -0.04 | 15% | 23 Aug → | ||
| 10–13 | 0.04 | 9% | 23 Aug → | ||
| 13–3 | 0.05 | 4% | 22 Aug → | ||
| 13–9 | 0.00 | 10% | 22 Aug → | ||
| 15–15 | 0.04 | 16% | 22 Aug → | ||
| 2–13 | -0.03 | 16% | 22 Aug → | ||
| 15–15 | 0.04 | 10% | 22 Aug → | ||
| 4–13 | -0.05 | 19% | 22 Aug → | ||
| 5–13 | -0.10 | 14% | 22 Aug → | ||
| 6–13 | -0.09 | 5% | 22 Aug → | ||
| 10–13 | -0.00 | 17% | 22 Aug → | ||
| 6–13 | 0.01 | 5% | 21 Aug → | ||
| 15–15 | -0.03 | 10% | 20 Aug → | ||
| 13–8 | 0.02 | 11% | 20 Aug → | ||
| 13–5 | -0.04 | 31% | 18 Aug → | ||
| 9–13 | -0.01 | 10% | 18 Aug → | ||
| 13–9 | -0.04 | 14% | 18 Aug → | ||
| 13–10 | 0.02 | 21% | 18 Aug → | ||
| 13–8 | 0.05 | 18% | 17 Aug → | ||
| 11–13 | -0.04 | 19% | 17 Aug → | ||
| 13–7 | 0.01 | 11% | 17 Aug → | ||
| 13–6 | 0.04 | 8% | 17 Aug → | ||
| 13–10 | -0.07 | 9% | 16 Aug → | ||
| 13–9 | -0.03 | 17% | 15 Aug → | ||
| 9–13 | -0.05 | 12% | 15 Aug → | ||
| 8–13 | -0.04 | 15% | 15 Aug → | ||
| 9–13 | -0.02 | 9% | 15 Aug → | ||
| 13–10 | -0.03 | 14% | 15 Aug → | ||
| 15–15 | -0.00 | 15% | 15 Aug → | ||
| 16–13 | -0.00 | 14% | 15 Aug → | ||
| 13–7 | -0.08 | 21% | 15 Aug → | ||
| 3–13 | -0.03 | 12% | 15 Aug → | ||
| 6–13 | -0.05 | 12% | 15 Aug → | ||
| 13–10 | -0.02 | 7% | 15 Aug → | ||
| 13–6 | 0.04 | 16% | 14 Aug → | ||
| 13–8 | 0.01 | 13% | 14 Aug → | ||
| 10–13 | -0.05 | 6% | 14 Aug → | ||
| 15–15 | 0.02 | 13% | 14 Aug → | ||
| 15–15 | 0.10 | 17% | 14 Aug → | ||
| 5–13 | 0.00 | 16% | 14 Aug → | ||
| 1–13 | -0.08 | 8% | 14 Aug → | ||
| 4–13 | -0.04 | 11% | 14 Aug → | ||
| 10–13 | -0.05 | 8% | 13 Aug → | ||
| 6–13 | -0.01 | 14% | 13 Aug → | ||
| 6–13 | -0.05 | 24% | 13 Aug → | ||
| 13–8 | 0.04 | 26% | 13 Aug → | ||
| 13–8 | -0.00 | 24% | 13 Aug → | ||
| 13–9 | -0.06 | 10% | 13 Aug → | ||
| 7–13 | -0.06 | 12% | 13 Aug → | ||
| 13–9 | 0.03 | 16% | 13 Aug → | ||
| 6–13 | -0.07 | 3% | 13 Aug → | ||
| 8–13 | -0.05 | 12% | 13 Aug → | ||
| 13–5 | -0.03 | 14% | 13 Aug → | ||
| 13–3 | 0.02 | 9% | 13 Aug → | ||
| 8–13 | -0.05 | 19% | 13 Aug → | ||
| 13–9 | -0.03 | 8% | 12 Aug → | ||
| 16–14 | -0.07 | 19% | 12 Aug → | ||
| 9–13 | -0.03 | 20% | 12 Aug → | ||
| 13–7 | 0.06 | 12% | 12 Aug → | ||
| 13–11 | -0.02 | 14% | 12 Aug → | ||
| 7–13 | -0.04 | 15% | 12 Aug → | ||
| 4–13 | -0.06 | 12% | 12 Aug → | ||
| 13–16 | -0.08 | 8% | 12 Aug → | ||
| 5–13 | -0.07 | 12% | 12 Aug → | ||
| 10–13 | -0.08 | 15% | 12 Aug → | ||
| 8–13 | -0.08 | 13% | 12 Aug → | ||
| 13–10 | -0.10 | 3% | 12 Aug → | ||
| 6–13 | -0.03 | 16% | 12 Aug → | ||
| 5–13 | -0.09 | 13% | 12 Aug → | ||
| 13–3 | -0.01 | 16% | 12 Aug → | ||
| 6–13 | -0.06 | 21% | 12 Aug → | ||
| 2–13 | -0.02 | 9% | 19 Jan → | ||
| 13–3 | -0.02 | 29% | 19 Jan → | ||
| 9–13 | -0.04 | 33% | 19 Jan → | ||
| 3–13 | -0.06 | 15% | 19 Jan → | ||
| 9–13 | -0.09 | 32% | 19 Jan → | ||
| 7–13 | -0.07 | 29% | 18 Jan → | ||
| 9–13 | -0.12 | 5% | 17 Jan → | ||
| 3–13 | -0.06 | 23% | 17 Jan → | ||
| 13–10 | -0.08 | 12% | 17 Jan → | ||
| 4–13 | -0.04 | 12% | 28 Oct → | ||
| 7–13 | -0.06 | 20% | 10 Oct → |
Match data via Leetify.