MR_KRABS_BIG_MONEY — CS2 Stats
76561198119047175[U:1:158781447]✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 35.8% | 40.1% | 41.7% | 5.8% short |
| Shot accuracy | 7.6% | 7.6% | 8.8% | 1.2% short |
| Kill/death ratio | 0.82 | 0.92 | 0.97 | 0.15 short |
| Match win rate | 58.3% | 42.2% | 43.8% | above |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Effective flashesLimited utility dependenceReliable in 1v1s
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 81% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower 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. 593ms 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 4.2/10 (Developing), 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 |
|---|---|---|---|---|---|
 ancient | C | 17 | 7–10 | 41% | -0.01 |
 dust2 | B | 16 | 8–8 | 50% | -0.01 |
 inferno | C | 15 | 6–9 | 40% | -0.01 |
 nuke | A | 14 | 9–5 | 64% | 0.01 |
 cache | B | 14 | 7–7 | 50% | -0.00 |
 mirage | D | 11 | 2–9 | 18% | -0.02 |
 anubis | — | 4 | 3–1 | 75% | -0.04 |
 vertigo | — | 3 | 1–2 | 33% | -0.06 |
 overpass | — | 2 | 1–1 | 50% | -0.02 |
 train | — | 2 | 0–2 | 0% | -0.04 |
| office | — | 1 | 1–0 | 100% | 0.01 |
| warden | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage 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 resultsWWLWL
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 12.437% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.891 — below the 4 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 27.4302% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 7–13 | -0.05 | 15% | 29 Aug → | |
| ancient | 8–13 | -0.06 | 8% | 24 Aug → | |
| dust2 | 13–11 | -0.03 | 8% | 17 Aug → | |
| inferno | 7–13 | 0.00 | 10% | 14 Aug → | |
| nuke | 13–11 | 0.01 | 6% | 14 Aug → | |
| inferno | 8–13 | 0.05 | 9% | 9 Aug → | |
| inferno | 11–13 | 0.00 | 13% | 9 Aug → | |
| dust2 | 13–6 | 0.03 | 13% | 9 Aug → | |
| dust2 | 10–13 | 0.07 | 12% | 8 Aug → | |
| ancient | 1–10 | -0.05 | 0% | 8 Aug → | |
| dust2 | 13–8 | 0.06 | 14% | 8 Aug → | |
| dust2 | 13–6 | 0.05 | 14% | 7 Aug → | |
| anubis | 3–13 | -0.06 | 8% | 7 Aug → | |
| cache | 11–13 | 0.01 | 20% | 6 Aug → | |
| inferno | 13–3 | 0.05 | 33% | 5 Aug → | |
| mirage | 7–13 | 0.00 | 16% | 4 Aug → | |
| ancient | 13–8 | -0.03 | 13% | 4 Aug → | |
| cache | 13–3 | 0.02 | 2% | 2 Aug → | |
| mirage | 10–13 | -0.03 | 7% | 2 Aug → | |
| inferno | 13–9 | 0.03 | 13% | 2 Aug → | |
| ancient | 8–13 | 0.04 | 22% | 2 Aug → | |
| cache | 14–16 | 0.02 | 10% | 1 Aug → | |
| dust2 | 13–10 | -0.01 | 14% | 1 Aug → | |
| nuke | 11–13 | -0.01 | 15% | 24 Jul → | |
| mirage | 9–13 | -0.02 | 13% | 23 Jul → | |
| cache | 13–4 | 0.05 | 13% | 23 Jul → | |
| ancient | 13–7 | -0.02 | 9% | 21 Jul → | |
| dust2 | 6–13 | -0.12 | 11% | 21 Jul → | |
| mirage | 7–13 | -0.06 | 12% | 21 Jul → | |
| cache | 10–13 | -0.06 | 19% | 20 Jul → | |
| inferno | 13–6 | -0.02 | 26% | 20 Jul → | |
| mirage | 16–13 | 0.04 | 9% | 19 Jul → | |
| inferno | 13–8 | -0.01 | 11% | 19 Jul → | |
| cache | 13–11 | 0.01 | 11% | 18 Jul → | |
| ancient | 13–8 | -0.02 | 8% | 18 Jul → | |
| cache | 13–10 | -0.01 | 15% | 18 Jul → | |
| dust2 | 16–14 | -0.01 | 8% | 17 Jul → | |
| dust2 | 13–4 | 0.04 | 27% | 17 Jul → | |
| mirage | 10–13 | 0.07 | 9% | 14 Jul → | |
| nuke | 13–9 | 0.01 | 6% | 14 Jul → | |
| mirage | 10–13 | -0.00 | 17% | 14 Jul → | |
| cache | 13–7 | 0.02 | 9% | 14 Jul → | |
| ancient | 15–15 | -0.06 | 10% | 13 Jul → | |
| cache | 4–13 | -0.05 | 15% | 12 Jul → | |
| dust2 | 15–15 | -0.02 | 10% | 11 Jul → | |
| nuke | 13–2 | 0.01 | 19% | 11 Jul → | |
| dust2 | 11–13 | -0.07 | 11% | 11 Jul → | |
| ancient | 13–16 | -0.00 | 12% | 6 Jul → | |
| vertigo | 4–6 | -0.13 | 0% | 5 Jul → | |
| nuke | 13–6 | 0.04 | 24% | 5 Jul → | |
| dust2 | 10–13 | -0.07 | 14% | 2 Jul → | |
| ancient | 6–13 | -0.04 | 10% | 2 Jul → | |
| mirage | 16–13 | -0.04 | 19% | 2 Jul → | |
| nuke | 13–9 | 0.06 | 3% | 26 Jun → | |
| overpass | 13–9 | 0.00 | 8% | 26 Jun → | |
| mirage | 13–16 | -0.04 | 6% | 22 Jun → | |
| nuke | 13–10 | 0.02 | 13% | 22 Jun → | |
| ancient | 5–13 | -0.06 | 10% | 13 Jun → | |
| ancient | 12–16 | -0.01 | 18% | 9 Jun → | |
| nuke | 7–13 | -0.00 | 2% | 9 Jun → | |
| mirage | 11–13 | -0.01 | 10% | 9 Jun → | |
| dust2 | 8–13 | -0.03 | 29% | 8 Jun → | |
| ancient | 10–13 | 0.07 | 10% | 7 Jun → | |
| inferno | 13–11 | -0.02 | 19% | 7 Jun → | |
| nuke | 13–7 | -0.02 | 14% | 7 Jun → | |
| inferno | 9–13 | -0.03 | 13% | 31 May → | |
| office | 13–7 | 0.01 | 18% | 25 May → | |
| warden | 10–13 | 0.03 | 9% | 25 May → | |
| vertigo | 12–12 | 0.01 | 10% | 23 May → | |
| vertigo | 13–7 | -0.07 | 8% | 23 May → | |
| inferno | 12–12 | -0.00 | 15% | 22 May → | |
| inferno | 8–13 | -0.09 | 10% | 13 May → | |
| ancient | 13–7 | -0.00 | 0% | 13 May → | |
| nuke | 8–13 | -0.05 | 11% | 13 May → | |
| overpass | 7–13 | -0.05 | 6% | 13 May → | |
| nuke | 9–13 | 0.00 | 5% | 13 May → | |
| anubis | 4–0 | -0.11 | 0% | 13 May → | |
| dust2 | 8–13 | -0.02 | 9% | 11 May → | |
| inferno | 13–1 | -0.04 | 14% | 11 May → | |
| dust2 | 14–16 | -0.02 | 20% | 11 May → | |
| inferno | 3–13 | -0.03 | 15% | 10 May → | |
| cache | 13–0 | 0.06 | 20% | 10 May → | |
| cache | 6–13 | -0.05 | 10% | 10 May → | |
| cache | 13–5 | 0.02 | 9% | 8 May → | |
| dust2 | 16–14 | 0.01 | 9% | 5 May → | |
| mirage | 11–13 | -0.09 | 13% | 30 Apr → | |
| cache | 6–13 | -0.04 | 6% | 30 Apr → | |
| cache | 10–13 | -0.05 | 11% | 30 Apr → | |
| inferno | 8–13 | -0.03 | 12% | 27 Apr → | |
| anubis | 13–8 | 0.03 | 12% | 27 Apr → | |
| nuke | 13–7 | 0.02 | 5% | 27 Apr → | |
| anubis | 13–5 | -0.02 | 9% | 27 Apr → | |
| ancient | 13–1 | 0.09 | 14% | 26 Apr → | |
| ancient | 13–6 | -0.01 | 8% | 26 Apr → | |
| nuke | 13–6 | 0.07 | 7% | 26 Apr → | |
| ancient | 13–16 | -0.02 | 12% | 23 Apr → | |
| ancient | 4–1 | 0.01 | 38% | 23 Apr → | |
| inferno | 2–13 | -0.06 | 5% | 23 Apr → | |
| train | 6–13 | -0.08 | 0% | 22 Apr → | |
| train | 12–12 | 0.00 | 11% | 22 Apr → |
Match data via Leetify.
