Heal Slut — CS2 Stats
76561198060702089[U:1:100436361]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 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 NiKo 82% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: higher opening-fight frequency; 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. 642ms 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 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| A | 24 | 14–10 | 58% | 0.01 | |
| A | 22 | 14–8 | 64% | 0.02 | |
| C | 13 | 5–8 | 38% | 0.01 | |
| S | 12 | 9–3 | 75% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis 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.
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.4576° — above the 12° mark we flag
- 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 12.5489% — below the 15% mark we flag
- 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 0.4795 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.09 | 18% | 23 Aug → | ||
| 13–11 | -0.01 | 10% | 23 Aug → | ||
| 13–1 | 0.01 | 13% | 23 Aug → | ||
| 1–13 | -0.07 | 10% | 23 Aug → | ||
| 13–8 | -0.01 | 10% | 21 Aug → | ||
| 13–8 | 0.00 | 18% | 21 Aug → | ||
| 10–13 | -0.01 | 10% | 16 Aug → | ||
| 13–4 | 0.01 | 8% | 15 Aug → | ||
| 13–6 | -0.04 | 8% | 12 Aug → | ||
| 13–11 | 0.01 | 16% | 12 Aug → | ||
| 6–13 | -0.07 | 22% | 12 Aug → | ||
| 8–13 | -0.03 | 14% | 10 Aug → | ||
| 13–3 | 0.00 | 13% | 10 Aug → | ||
| 13–11 | 0.05 | 11% | 10 Aug → | ||
| 13–10 | -0.03 | 11% | 10 Aug → | ||
| 12–12 | 0.03 | 11% | 10 Aug → | ||
| 13–8 | 0.04 | 5% | 8 Aug → | ||
| 5–13 | -0.03 | 16% | 8 Aug → | ||
| 5–13 | -0.06 | 9% | 8 Aug → | ||
| 13–10 | 0.06 | 9% | 8 Aug → | ||
| 8–13 | -0.04 | 11% | 7 Aug → | ||
| 9–13 | 0.05 | 14% | 7 Aug → | ||
| 13–1 | 0.13 | 20% | 7 Aug → | ||
| 13–5 | 0.04 | 7% | 7 Aug → | ||
| 13–5 | 0.09 | 19% | 7 Aug → | ||
| 11–13 | 0.02 | 14% | 7 Aug → | ||
| 10–13 | -0.03 | 13% | 5 Aug → | ||
| 13–11 | -0.01 | 12% | 5 Aug → | ||
| 13–5 | -0.04 | 9% | 2 Aug → | ||
| 13–8 | -0.02 | 17% | 2 Aug → | ||
| 9–4 | 0.08 | 13% | 2 Aug → | ||
| 7–13 | -0.04 | 17% | 2 Aug → | ||
| 7–3 | -0.07 | 13% | 2 Aug → | ||
| 13–8 | 0.04 | 5% | 2 Aug → | ||
| 9–13 | -0.08 | 3% | 2 Aug → | ||
| 13–6 | 0.08 | 5% | 2 Aug → | ||
| 13–3 | -0.01 | 4% | 2 Aug → | ||
| 13–9 | 0.03 | 9% | 2 Aug → | ||
| 4–13 | 0.04 | 14% | 2 Aug → | ||
| 13–7 | 0.01 | 20% | 2 Aug → | ||
| 10–13 | -0.01 | 11% | 2 Aug → | ||
| 5–0 | 0.01 | 33% | 2 Aug → | ||
| 13–6 | -0.01 | 5% | 2 Aug → | ||
| 10–13 | -0.02 | 1% | 2 Aug → | ||
| 13–6 | -0.00 | 3% | 2 Aug → | ||
| 13–9 | -0.02 | 4% | 1 Aug → | ||
| 12–12 | -0.01 | 3% | 1 Aug → | ||
| 5–13 | -0.07 | 7% | 26 Jul → | ||
| 12–12 | -0.02 | 6% | 26 Jul → | ||
| 13–4 | 0.10 | 4% | 26 Jul → | ||
| 10–13 | 0.03 | 3% | 26 Jul → | ||
| 4–13 | -0.03 | 3% | 26 Jul → | ||
| 2–13 | -0.08 | 13% | 26 Jul → | ||
| 13–10 | 0.09 | 8% | 26 Jul → | ||
| 11–13 | -0.02 | 6% | 26 Jul → | ||
| 7–13 | -0.06 | 4% | 26 Jul → | ||
| 13–6 | 0.02 | 12% | 26 Jul → | ||
| 3–13 | -0.04 | 10% | 25 Jul → | ||
| 9–13 | -0.06 | 11% | 25 Jul → | ||
| 11–13 | 0.03 | 12% | 25 Jul → | ||
| 13–5 | -0.01 | 3% | 25 Jul → | ||
| 13–11 | 0.02 | 9% | 25 Jul → | ||
| 5–13 | -0.04 | 10% | 25 Jul → | ||
| 6–13 | -0.01 | 9% | 25 Jul → | ||
| 13–10 | 0.05 | 10% | 25 Jul → | ||
| 3–7 | -0.00 | 20% | 25 Jul → | ||
| 13–6 | -0.01 | 14% | 25 Jul → | ||
| 13–2 | 0.10 | 13% | 25 Jul → | ||
| 13–6 | 0.09 | 9% | 25 Jul → | ||
| 13–3 | -0.03 | 5% | 25 Jul → | ||
| 13–7 | -0.01 | 15% | 25 Jul → | ||
| 13–6 | 0.03 | 20% | 25 Jul → | ||
| 13–11 | 0.07 | 9% | 23 Jul → | ||
| 13–7 | 0.08 | 8% | 23 Jul → | ||
| 13–1 | 0.03 | 22% | 23 Jul → | ||
| 12–12 | -0.00 | 9% | 23 Jul → | ||
| 13–8 | 0.09 | 20% | 23 Jul → | ||
| 13–11 | -0.01 | 7% | 23 Jul → | ||
| 12–12 | 0.02 | 9% | 23 Jul → | ||
| 12–12 | -0.02 | 13% | 22 Jul → | ||
| 9–13 | 0.05 | 19% | 22 Jul → | ||
| 12–12 | -0.01 | 11% | 20 Jul → | ||
| 6–13 | -0.01 | 13% | 19 Jul → | ||
| 13–8 | -0.03 | 9% | 19 Jul → | ||
| 12–12 | 0.01 | 15% | 19 Jul → | ||
| 5–13 | 0.01 | 10% | 19 Jul → | ||
| 13–10 | 0.06 | 12% | 19 Jul → | ||
| 11–13 | 0.00 | 8% | 19 Jul → | ||
| 13–10 | 0.02 | 11% | 19 Jul → | ||
| 13–1 | 0.07 | 15% | 19 Jul → | ||
| 13–1 | 0.06 | 2% | 19 Jul → | ||
| 13–9 | -0.00 | 9% | 18 Jul → | ||
| 13–6 | 0.06 | 15% | 18 Jul → | ||
| 13–8 | 0.08 | 7% | 18 Jul → | ||
| 13–3 | 0.00 | 5% | 18 Jul → | ||
| 4–13 | -0.04 | 11% | 18 Jul → | ||
| 13–4 | 0.08 | 9% | 18 Jul → | ||
| 13–8 | 0.10 | 13% | 17 Jul → | ||
| 13–5 | 0.03 | 10% | 17 Jul → | ||
| 8–13 | 0.04 | 9% | 17 Jul → |
Match data via Leetify.