MI BOMBOOO — CS2 Stats
76561199026849764[U:1:1066584036]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 37.0% | 42.2% | 42.7% | 5.6% short |
| Shot accuracy | 6.9% | 11.9% | 10.8% | 3.9% short |
| Kill/death ratio | 0.74 | 0.98 | 1.00 | 0.26 short |
| Match win rate | 40.4% | 43.6% | 44.1% | 3.7% short |
This profile sits below the typical Level 4 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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: -40pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 ropz 83% 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 617ms 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 |
|---|---|---|---|---|---|
 inferno | A | 26 | 16–10 | 62% | 0.01 |
 anubis | D | 15 | 5–10 | 33% | 0.01 |
 mirage | B | 13 | 7–6 | 54% | -0.00 |
 overpass | C | 13 | 5–8 | 38% | 0.01 |
 nuke | B | 12 | 6–6 | 50% | 0.01 |
 dust2 | C | 10 | 4–6 | 40% | -0.01 |
 ancient | S | 6 | 4–2 | 67% | 0.01 |
| office | — | 2 | 0–2 | 0% | 0.03 |
 train | — | 1 | 0–1 | 0% | -0.07 |
 vertigo | — | 1 | 1–0 | 100% | -0.04 |
 cache | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 15). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 35 | 46% | 0.91 | 12.1 |
| Overpass | 26 | 69% | 0.86 | 13.2 |
| Train | 20 | 55% | 0.92 | 12.3 |
| Ancient | 16 | 62% | 0.84 | 11.6 |
| Anubis | 16 | 31% | 0.74 | 10.8 |
| Nuke | 15 | 47% | 0.75 | 12.8 |
| Mirage | 12 | 58% | 0.68 | 9.8 |
| Dust2 | 9 | 11% | 0.67 | 13.3 |
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 14.4019% — 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 0.2267 — below the 0.5 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 38.1574% — 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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 8–13 | -0.05 | 20% | 9 Jun → | |
| train | 2–13 | -0.07 | 15% | 4 Jun → | |
| vertigo | 13–8 | -0.04 | 5% | 4 Jun → | |
| mirage | 4–10 | -0.04 | 20% | 27 May → | |
| office | 11–13 | 0.02 | 16% | 26 May → | |
| overpass | 6–13 | -0.04 | 13% | 26 May → | |
| mirage | 11–13 | -0.03 | 9% | 26 May → | |
| inferno | 10–13 | -0.06 | 6% | 21 May → | |
| nuke | 9–13 | -0.01 | 5% | 21 May → | |
| anubis | 3–13 | -0.04 | 29% | 21 May → | |
| mirage | 13–9 | 0.02 | 21% | 21 May → | |
| overpass | 5–13 | 0.03 | 13% | 21 May → | |
| anubis | 6–13 | -0.05 | 26% | 21 May → | |
| anubis | 13–7 | 0.03 | 19% | 20 May → | |
| anubis | 8–13 | -0.05 | 15% | 20 May → | |
| inferno | 13–11 | 0.00 | 25% | 12 May → | |
| overpass | 13–5 | 0.04 | 10% | 12 May → | |
| overpass | 12–16 | 0.01 | 16% | 10 May → | |
| overpass | 11–13 | -0.05 | 10% | 8 May → | |
| overpass | 13–8 | -0.05 | 10% | 7 May → | |
| dust2 | 5–13 | -0.05 | 16% | 7 May → | |
| mirage | 7–13 | -0.04 | 13% | 6 May → | |
| inferno | 9–3 | 0.07 | 16% | 6 May → | |
| inferno | 13–6 | -0.03 | 18% | 6 May → | |
| anubis | 11–13 | -0.00 | 14% | 4 May → | |
| cache | 13–11 | 0.07 | 12% | 3 May → | |
| anubis | 8–13 | -0.03 | 12% | 3 May → | |
| nuke | 8–13 | 0.04 | 16% | 2 May → | |
| mirage | 13–5 | -0.02 | 3% | 2 May → | |
| dust2 | 13–8 | -0.08 | 19% | 2 May → | |
| mirage | 6–13 | -0.04 | 11% | 28 Apr → | |
| ancient | 15–15 | -0.02 | 18% | 28 Apr → | |
| mirage | 6–13 | -0.05 | 10% | 22 Apr → | |
| inferno | 6–13 | -0.01 | 23% | 22 Apr → | |
| office | 9–13 | 0.05 | 12% | 20 Apr → | |
| nuke | 2–13 | -0.03 | 11% | 16 Apr → | |
| anubis | 1–13 | -0.11 | 5% | 16 Apr → | |
| mirage | 13–6 | 0.10 | 9% | 16 Apr → | |
| overpass | 13–10 | 0.02 | 6% | 14 Apr → | |
| dust2 | 15–15 | 0.05 | 13% | 14 Apr → | |
| inferno | 13–8 | 0.01 | 10% | 14 Apr → | |
| inferno | 13–10 | 0.03 | 8% | 10 Apr → | |
| anubis | 13–7 | 0.00 | 3% | 10 Apr → | |
| dust2 | 7–13 | -0.04 | 13% | 10 Apr → | |
| inferno | 13–9 | -0.06 | 13% | 10 Apr → | |
| nuke | 6–13 | -0.06 | 11% | 9 Apr → | |
| mirage | 13–4 | -0.00 | 25% | 9 Apr → | |
| nuke | 13–1 | 0.09 | 18% | 5 Apr → | |
| overpass | 10–13 | -0.00 | 8% | 5 Apr → | |
| mirage | 13–7 | 0.05 | 11% | 4 Apr → | |
| nuke | 13–9 | 0.05 | 4% | 4 Apr → | |
| inferno | 9–13 | 0.06 | 9% | 4 Apr → | |
| ancient | 13–11 | 0.05 | 8% | 4 Apr → | |
| inferno | 16–14 | 0.03 | 11% | 4 Apr → | |
| nuke | 13–9 | 0.00 | 13% | 3 Apr → | |
| anubis | 7–13 | 0.05 | 14% | 2 Apr → | |
| dust2 | 11–13 | -0.02 | 15% | 2 Apr → | |
| inferno | 13–6 | 0.01 | 16% | 2 Apr → | |
| nuke | 13–1 | 0.04 | 15% | 1 Apr → | |
| anubis | 9–13 | 0.05 | 9% | 1 Apr → | |
| inferno | 13–5 | 0.12 | 4% | 1 Apr → | |
| mirage | 13–10 | 0.01 | 14% | 1 Apr → | |
| nuke | 13–8 | 0.09 | 12% | 1 Apr → | |
| anubis | 11–13 | 0.06 | 14% | 1 Apr → | |
| inferno | 13–10 | 0.01 | 4% | 1 Apr → | |
| dust2 | 13–6 | 0.08 | 26% | 1 Apr → | |
| nuke | 9–13 | -0.04 | 47% | 1 Apr → | |
| inferno | 13–9 | 0.09 | 13% | 31 Mar → | |
| nuke | 10–2 | -0.05 | 12% | 31 Mar → | |
| inferno | 9–13 | -0.00 | 16% | 31 Mar → | |
| overpass | 8–13 | 0.02 | 20% | 30 Mar → | |
| anubis | 8–13 | 0.07 | 10% | 26 Mar → | |
| overpass | 10–13 | 0.04 | 12% | 26 Mar → | |
| ancient | 2–13 | -0.10 | 27% | 26 Mar → | |
| mirage | 5–13 | -0.04 | 8% | 25 Mar → | |
| ancient | 13–11 | -0.02 | 16% | 25 Mar → | |
| inferno | 10–13 | -0.02 | 13% | 25 Mar → | |
| inferno | 11–13 | -0.01 | 32% | 24 Mar → | |
| inferno | 5–13 | -0.02 | 5% | 22 Mar → | |
| dust2 | 5–13 | -0.03 | 18% | 19 Mar → | |
| dust2 | 13–7 | 0.00 | 12% | 19 Mar → | |
| dust2 | 11–13 | -0.02 | 18% | 19 Mar → | |
| inferno | 13–11 | -0.06 | 10% | 17 Mar → | |
| mirage | 13–11 | 0.06 | 18% | 17 Mar → | |
| anubis | 13–11 | 0.08 | 13% | 17 Mar → | |
| inferno | 13–7 | 0.04 | 13% | 17 Mar → | |
| ancient | 13–11 | -0.03 | 5% | 17 Mar → | |
| anubis | 13–4 | 0.06 | 3% | 17 Mar → | |
| anubis | 13–5 | -0.02 | 11% | 16 Mar → | |
| nuke | 11–13 | -0.04 | 12% | 16 Mar → | |
| inferno | 13–1 | 0.01 | 6% | 16 Mar → | |
| overpass | 13–10 | 0.07 | 24% | 16 Mar → | |
| inferno | 13–4 | 0.07 | 14% | 16 Mar → | |
| inferno | 11–13 | -0.04 | 7% | 16 Mar → | |
| inferno | 13–6 | 0.00 | 6% | 16 Mar → | |
| overpass | 13–5 | 0.06 | 16% | 16 Mar → | |
| inferno | 10–13 | -0.01 | 5% | 15 Mar → | |
| overpass | 6–13 | -0.04 | 3% | 15 Mar → | |
| dust2 | 13–10 | -0.01 | 21% | 15 Mar → | |
| ancient | 13–4 | 0.16 | 16% | 13 Mar → |
Match data via Leetify.