Halo Two Battle Rifle — CS2 Stats
US76561198065485851[U:1:105220123]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 58.5% | 52.8% | above |
| Shot accuracy | 17.4% | 13.7% | above |
| Kill/death ratio | 1.04 | 1.08 | 0.04 short |
| Match win rate | 44.6% | 49.2% | 4.5% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 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: -70pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 560ms 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 27 | 16–11 | 59% | 0.02 | |
| B | 19 | 9–10 | 47% | 0.00 | |
| C | 18 | 8–10 | 44% | 0.01 | |
| S | 17 | 11–6 | 65% | -0.00 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| — | 3 | 0–3 | 0% | 0.01 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| boulder | — | 2 | 1–1 | 50% | -0.04 |
| shelter | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (44% over 18). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 85 | 54% | 1.06 | 16.3 |
| Anubis | 62 | 60% | 1.19 | 16.0 |
| Mirage | 60 | 43% | 1.08 | 16.3 |
| Inferno | 39 | 38% | 1.06 | 16.1 |
| Cache | 38 | 58% | 1.24 | 17.8 |
| Overpass | 21 | 62% | 1.29 | 16.8 |
| Vertigo | 18 | 56% | 1.02 | 16.1 |
| Nuke | 12 | 33% | 1.03 | 17.0 |
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.
- 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 36.8719% — 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.
44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.03 | 20% | 25 Aug → | ||
| 8–13 | 0.02 | 25% | 20 Aug → | ||
| 14–16 | -0.02 | 21% | 19 Aug → | ||
| 13–8 | 0.00 | 27% | 19 Aug → | ||
| 4–13 | -0.01 | 19% | 17 Aug → | ||
| 12–16 | -0.00 | 28% | 17 Aug → | ||
| 16–13 | 0.02 | 14% | 17 Aug → | ||
| 8–13 | -0.00 | 23% | 16 Aug → | ||
| 5–13 | -0.06 | 24% | 16 Aug → | ||
| 10–13 | -0.02 | 20% | 16 Aug → | ||
| 16–14 | 0.08 | 26% | 16 Aug → | ||
| 13–11 | -0.08 | 23% | 16 Aug → | ||
| 13–8 | -0.01 | 16% | 14 Aug → | ||
| 13–8 | -0.02 | 23% | 14 Aug → | ||
| 7–13 | -0.06 | 24% | 13 Aug → | ||
| 13–10 | 0.01 | 14% | 13 Aug → | ||
| 19–17 | 0.02 | 18% | 12 Aug → | ||
| 13–11 | 0.06 | 22% | 12 Aug → | ||
| 13–10 | 0.04 | 18% | 10 Aug → | ||
| 13–7 | 0.06 | 23% | 10 Aug → | ||
| 6–13 | 0.03 | 29% | 9 Aug → | ||
| 15–19 | -0.05 | 18% | 7 Aug → | ||
| 13–11 | -0.02 | 29% | 7 Aug → | ||
| 10–13 | 0.03 | 27% | 7 Aug → | ||
| 13–11 | 0.04 | 24% | 7 Aug → | ||
| 3–13 | -0.05 | 19% | 7 Aug → | ||
| 13–11 | -0.02 | 21% | 5 Aug → | ||
| 15–15 | 0.05 | 24% | 5 Aug → | ||
| 15–15 | 0.00 | 26% | 5 Aug → | ||
| 5–13 | -0.02 | 29% | 5 Aug → | ||
| 13–11 | 0.03 | 28% | 31 Jul → | ||
| 13–1 | 0.15 | 38% | 31 Jul → | ||
| 13–9 | 0.07 | 28% | 31 Jul → | ||
| 13–7 | 0.10 | 29% | 30 Jul → | ||
| 13–8 | 0.01 | 24% | 30 Jul → | ||
| 13–7 | -0.07 | 19% | 29 Jul → | ||
| 11–13 | 0.09 | 37% | 29 Jul → | ||
| 13–3 | -0.00 | 25% | 28 Jul → | ||
| 8–13 | 0.01 | 21% | 28 Jul → | ||
| 13–7 | 0.08 | 9% | 28 Jul → | ||
| 12–12 | -0.02 | 37% | 25 Jul → | ||
| 5–13 | 0.05 | 42% | 25 Jul → | ||
| 9–13 | 0.00 | 28% | 25 Jul → | ||
| 13–8 | -0.01 | 41% | 24 Jul → | ||
| 13–11 | -0.04 | 16% | 23 Jul → | ||
| shelter | 12–12 | -0.01 | 34% | 23 Jul → | |
| boulder | 1–13 | -0.12 | 13% | 22 Jul → | |
| 13–8 | -0.00 | 41% | 22 Jul → | ||
| boulder | 13–10 | 0.04 | 14% | 17 Jul → | |
| 13–11 | 0.02 | 24% | 14 Jul → | ||
| 7–13 | -0.01 | 13% | 13 Jul → | ||
| 8–13 | -0.04 | 10% | 13 Jul → | ||
| 13–8 | 0.01 | 12% | 13 Jul → | ||
| 13–16 | -0.01 | 14% | 13 Jul → | ||
| 5–13 | 0.04 | 30% | 13 Jul → | ||
| 14–16 | -0.02 | 18% | 12 Jul → | ||
| 12–16 | -0.03 | 19% | 11 Jul → | ||
| 13–8 | 0.10 | 33% | 11 Jul → | ||
| 13–11 | 0.01 | 32% | 10 Jul → | ||
| 8–13 | -0.04 | 12% | 10 Jul → | ||
| 13–5 | 0.08 | 28% | 10 Jul → | ||
| 13–1 | 0.05 | 11% | 10 Jul → | ||
| 8–13 | -0.02 | 12% | 9 Jul → | ||
| 8–13 | -0.04 | 33% | 9 Jul → | ||
| 13–3 | 0.01 | 37% | 9 Jul → | ||
| 9–13 | 0.03 | 21% | 3 Jul → | ||
| 14–16 | -0.02 | 25% | 1 Jul → | ||
| 4–13 | 0.01 | 26% | 1 Jul → | ||
| 13–6 | 0.02 | 17% | 1 Jul → | ||
| 11–13 | 0.00 | 23% | 1 Jul → | ||
| 13–11 | 0.01 | 31% | 26 Jun → | ||
| 5–13 | -0.06 | 22% | 26 Jun → | ||
| 13–8 | 0.04 | 17% | 25 Jun → | ||
| 11–13 | -0.01 | 27% | 25 Jun → | ||
| 9–13 | 0.02 | 28% | 24 Jun → | ||
| 16–12 | 0.01 | 23% | 14 Jun → | ||
| 13–11 | 0.13 | 29% | 14 Jun → | ||
| 10–11 | 0.06 | 24% | 13 Jun → | ||
| 13–8 | -0.03 | 47% | 11 Jun → | ||
| 9–13 | 0.00 | 52% | 11 Jun → | ||
| 11–13 | 0.03 | 28% | 9 Jun → | ||
| 13–16 | -0.03 | 21% | 9 Jun → | ||
| 13–9 | -0.03 | 17% | 8 Jun → | ||
| 13–7 | 0.08 | 28% | 6 Jun → | ||
| 13–11 | 0.04 | 26% | 5 Jun → | ||
| 8–13 | -0.01 | 24% | 4 Jun → | ||
| 13–6 | 0.02 | 17% | 4 Jun → | ||
| 11–13 | -0.02 | 19% | 3 Jun → | ||
| 13–9 | -0.01 | 18% | 3 Jun → | ||
| 13–3 | 0.10 | 29% | 3 Jun → | ||
| 10–13 | 0.00 | 23% | 3 Jun → | ||
| 7–13 | -0.04 | 23% | 2 Jun → | ||
| 13–10 | -0.02 | 27% | 2 Jun → | ||
| 13–4 | 0.02 | 30% | 1 Jun → | ||
| 13–6 | 0.00 | 18% | 1 Jun → | ||
| 13–10 | -0.01 | 15% | 1 Jun → | ||
| 19–16 | 0.01 | 24% | 31 May → | ||
| 7–13 | -0.04 | 26% | 31 May → | ||
| 14–16 | 0.00 | 20% | 31 May → | ||
| 13–7 | 0.05 | 24% | 31 May → |
Match data via Leetify.