Boba Chang — CS2 Stats
HK76561198313231079[U:1:352965351]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=38,294), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 42.6% | 46.9% | 49.3% | 6.7% short |
| Shot accuracy | 12.8% | 13.0% | 13.4% | 0.6% short |
| Kill/death ratio | 0.96 | 1.08 | 1.12 | 0.17 short |
| Match win rate | 33.8% | 46.7% | 48.5% | 14.7% short |
This profile sits below the typical Red band player on every metric we can compare.
Widest gap: Match win rate. That is the metric furthest from the Red 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.
Player DNA
Primary style: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).
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.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like donk 80% playstyle similarity
Most alike: positioning profile, aim profile.
Where you differ: lower opening-duel success; lower 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
T openings. 61% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 70 | 64% | 1.30 | 19.2 |
| Anubis | 40 | 65% | 1.37 | 18.2 |
| Nuke | 32 | 53% | 1.54 | 21.0 |
| Inferno | 30 | 53% | 1.30 | 17.9 |
| Ancient | 20 | 40% | 1.26 | 18.4 |
| Dust2 | 17 | 59% | 1.43 | 18.8 |
| Overpass | 9 | 67% | 1.23 | 20.3 |
| Vertigo | 7 | 43% | 1.03 | 16.7 |
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.
- 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 0.3499 — below the 0.5 mark we flag
Milestones
This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.