the_rat_killer — CS2 Stats
76561199029369628[U:1:1069103900]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 NiKo 60% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 38% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 738ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 55% 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 1.7/10 (Learning), 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 54 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 |
|---|---|---|---|---|---|
 inferno | D | 12 | 3–9 | 25% | -0.03 |
 dust2 | C | 9 | 4–5 | 44% | -0.01 |
 nuke | A | 7 | 4–3 | 57% | -0.02 |
 mirage | D | 6 | 2–4 | 33% | -0.04 |
 vertigo | A | 5 | 3–2 | 60% | -0.02 |
 ancient | — | 4 | 1–3 | 25% | -0.04 |
 cache | — | 3 | 1–2 | 33% | -0.00 |
 train | — | 3 | 0–3 | 0% | -0.07 |
 anubis | — | 3 | 0–3 | 0% | -0.05 |
| fachwerk | — | 1 | 0–1 | 0% | -0.07 |
| office | — | 1 | 0–1 | 0% | 0.02 |
Across the last 54 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (25% over 12). 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.
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 13.4093° — 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 10.8128% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 737.9895ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–6 | -0.02 | 13% | 23 Aug → | |
| inferno | 5–13 | -0.02 | 17% | 23 Aug → | |
| vertigo | 9–5 | 0.09 | 25% | 23 Aug → | |
| inferno | 4–9 | -0.06 | 26% | 23 Aug → | |
| mirage | 11–13 | -0.02 | 9% | 22 Aug → | |
| inferno | 4–13 | -0.10 | 7% | 22 Aug → | |
| cache | 13–7 | -0.01 | 11% | 22 Aug → | |
| mirage | 2–11 | -0.08 | 4% | 20 Aug → | |
| ancient | 11–13 | -0.07 | 8% | 20 Aug → | |
| train | 12–12 | -0.02 | 15% | 18 Aug → | |
| dust2 | 13–11 | -0.04 | 0% | 17 Aug → | |
| nuke | 8–0 | 0.03 | 100% | 17 Aug → | |
| anubis | 5–13 | -0.03 | 21% | 16 Aug → | |
| cache | 11–13 | 0.01 | 10% | 9 Aug → | |
| ancient | 13–4 | 0.00 | 17% | 9 Aug → | |
| dust2 | 2–13 | -0.07 | 7% | 9 Aug → | |
| train | 5–13 | -0.09 | 9% | 8 Aug → | |
| inferno | 6–13 | -0.08 | 5% | 4 Aug → | |
| inferno | 13–6 | 0.05 | 17% | 1 Aug → | |
| mirage | 6–13 | -0.07 | 16% | 29 Jul → | |
| inferno | 12–12 | -0.03 | 10% | 28 Jul → | |
| nuke | 9–13 | -0.10 | 6% | 27 Jul → | |
| inferno | 6–13 | -0.07 | 0% | 27 Jul → | |
| dust2 | 14–16 | -0.01 | 15% | 26 Jul → | |
| mirage | 6–13 | -0.10 | 3% | 26 Jul → | |
| cache | 8–13 | -0.01 | 3% | 26 Jul → | |
| inferno | 3–13 | -0.07 | 9% | 25 Jul → | |
| ancient | 5–13 | -0.01 | 9% | 24 Jul → | |
| dust2 | 13–5 | 0.06 | 9% | 23 Jul → | |
| vertigo | 6–13 | -0.07 | 3% | 23 Jul → | |
| mirage | 5–4 | -0.03 | 16% | 23 Jul → | |
| inferno | 1–13 | -0.03 | 10% | 22 Jul → | |
| dust2 | 13–11 | -0.05 | 10% | 22 Jul → | |
| vertigo | 2–13 | -0.04 | 8% | 22 Jul → | |
| inferno | 13–11 | 0.03 | 17% | 22 Jul → | |
| nuke | 8–13 | -0.09 | 24% | 17 Jul → | |
| mirage | 13–7 | 0.05 | 11% | 17 Jul → | |
| dust2 | 8–13 | -0.09 | 18% | 13 Jul → | |
| fachwerk | 12–12 | -0.07 | 10% | 13 Jul → | |
| office | 11–13 | 0.02 | 18% | 8 Jul → | |
| dust2 | 12–12 | 0.02 | 14% | 1 Jul → | |
| anubis | 6–13 | -0.09 | 2% | 29 Jun → | |
| inferno | 13–8 | 0.07 | 9% | 29 Jun → | |
| nuke | 13–11 | 0.02 | 8% | 27 Jun → | |
| nuke | 13–6 | 0.04 | 9% | 27 Jun → | |
| ancient | 4–13 | -0.09 | 9% | 26 Jun → | |
| nuke | 6–13 | -0.00 | 12% | 26 Jun → | |
| dust2 | 13–3 | -0.02 | 8% | 25 Jun → | |
| inferno | 9–13 | -0.11 | 13% | 24 Jun → | |
| dust2 | 12–12 | 0.15 | 15% | 23 Jun → | |
| vertigo | 13–6 | -0.01 | 10% | 22 Jun → | |
| vertigo | 13–7 | -0.08 | 4% | 19 Jun → | |
| anubis | 6–13 | -0.01 | 17% | 18 Jun → | |
| train | 6–13 | -0.10 | 3% | 18 Jun → |
Match data via Leetify.
