VietBong — CS2 Stats
76561198086383591[U:1:126117863]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 52.2% | 46.1% | 47.0% | above |
| Shot accuracy | 6.9% | 12.6% | 12.7% | 5.8% short |
| Kill/death ratio | 0.90 | 1.05 | 1.07 | 0.18 short |
| Match win rate | 46.5% | 45.7% | 46.4% | meets |
This profile matches the typical Level 8 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 8 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: -20pp win rate · -0.03 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 Twistzz 85% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success; 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. 579ms 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 5.1/10 (Developing), 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 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 | S | 21 | 14–7 | 67% | 0.02 |
 dust2 | B | 19 | 9–10 | 47% | 0.01 |
 mirage | A | 18 | 10–8 | 56% | -0.00 |
 anubis | B | 13 | 6–7 | 46% | 0.00 |
 nuke | B | 13 | 7–6 | 54% | -0.01 |
 inferno | C | 9 | 4–5 | 44% | 0.02 |
 overpass | — | 3 | 2–1 | 67% | 0.03 |
 train | — | 3 | 1–2 | 33% | 0.02 |
 cache | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (44% over 9). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 27 | 63% | 1.74 | 17.7 |
| Inferno | 10 | 50% | 1.21 | 14.9 |
| Anubis | 7 | 71% | 1.06 | 14.9 |
| Ancient | 7 | 43% | 1.14 | 15.0 |
| Vertigo | 6 | 100% | 1.70 | 18.2 |
| Dust2 | 4 | 50% | 1.47 | 14.3 |
| Nuke | 3 | 33% | 0.99 | 16.3 |
| Overpass | 1 | 100% | 1.60 | 16.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4281° — 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 14.344% — below the 15% 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–9 | 0.06 | 11% | 4 Aug → | |
| anubis | 10–13 | -0.05 | 17% | 2 Aug → | |
| dust2 | 6–13 | 0.02 | 14% | 30 Jul → | |
| dust2 | 13–8 | -0.03 | 15% | 30 Jul → | |
| nuke | 6–13 | -0.01 | 14% | 30 Jul → | |
| mirage | 13–2 | 0.03 | 11% | 30 Jul → | |
| dust2 | 15–15 | -0.01 | 18% | 30 Jul → | |
| nuke | 10–13 | -0.07 | 7% | 30 Jul → | |
| ancient | 13–2 | -0.00 | 16% | 30 Jul → | |
| dust2 | 10–13 | 0.01 | 11% | 25 Jul → | |
| nuke | 9–13 | 0.01 | 13% | 25 Jul → | |
| anubis | 13–8 | 0.00 | 11% | 25 Jul → | |
| cache | 13–1 | 0.06 | 11% | 17 Jul → | |
| ancient | 4–13 | 0.01 | 16% | 17 Jul → | |
| ancient | 11–13 | -0.04 | 4% | 14 Jul → | |
| ancient | 13–6 | 0.13 | 13% | 12 Jul → | |
| anubis | 13–7 | 0.00 | 9% | 12 Jul → | |
| anubis | 8–13 | -0.01 | 9% | 17 May → | |
| mirage | 13–11 | 0.01 | 10% | 17 May → | |
| ancient | 13–4 | 0.04 | 17% | 25 Apr → | |
| ancient | 6–13 | -0.06 | 11% | 24 Apr → | |
| mirage | 13–7 | 0.05 | 27% | 14 Apr → | |
| anubis | 16–14 | -0.01 | 17% | 5 Apr → | |
| nuke | 6–13 | -0.01 | 18% | 30 Mar → | |
| dust2 | 11–13 | 0.01 | 23% | 29 Mar → | |
| overpass | 13–3 | 0.07 | 13% | 15 Mar → | |
| inferno | 5–1 | 0.09 | 23% | 15 Mar → | |
| nuke | 11–13 | 0.06 | 25% | 14 Mar → | |
| ancient | 13–5 | 0.02 | 16% | 14 Mar → | |
| inferno | 9–13 | 0.05 | 13% | 5 Mar → | |
| nuke | 13–5 | -0.02 | 24% | 16 Feb → | |
| nuke | 13–10 | -0.02 | 16% | 17 Jan → | |
| ancient | 13–3 | 0.08 | 13% | 7 Dec → | |
| train | 5–13 | -0.03 | 17% | 30 Nov → | |
| mirage | 16–14 | -0.03 | 22% | 29 Nov → | |
| dust2 | 13–8 | -0.01 | 14% | 14 Nov → | |
| dust2 | 13–6 | 0.09 | 22% | 12 Nov → | |
| dust2 | 13–6 | 0.07 | 33% | 7 Nov → | |
| overpass | 13–4 | 0.03 | 15% | 17 Oct → | |
| dust2 | 10–13 | 0.05 | 22% | 17 Oct → | |
| overpass | 7–13 | -0.02 | 23% | 8 Sept → | |
| dust2 | 13–9 | 0.02 | 25% | 6 Sept → | |
| nuke | 13–10 | -0.01 | 18% | 19 Jul → | |
| mirage | 9–13 | 0.01 | 17% | 18 Jul → | |
| ancient | 16–12 | 0.01 | 17% | 27 Jun → | |
| dust2 | 13–11 | 0.01 | 11% | 26 Jun → | |
| mirage | 13–11 | -0.00 | 18% | 25 Jun → | |
| anubis | 13–10 | 0.08 | 14% | 23 Jun → | |
| anubis | 9–13 | 0.03 | 14% | 18 Jun → | |
| inferno | 8–13 | 0.02 | 27% | 15 Jun → | |
| ancient | 13–11 | 0.07 | 15% | 9 Jun → | |
| mirage | 13–6 | 0.13 | 24% | 25 May → | |
| anubis | 13–1 | 0.12 | 17% | 25 May → | |
| mirage | 16–12 | -0.00 | 25% | 25 May → | |
| mirage | 11–13 | -0.06 | 19% | 24 May → | |
| anubis | 9–13 | -0.02 | 20% | 24 May → | |
| ancient | 13–16 | -0.02 | 14% | 15 May → | |
| dust2 | 11–13 | 0.07 | 16% | 11 May → | |
| inferno | 13–6 | 0.06 | 15% | 11 May → | |
| ancient | 13–7 | 0.09 | 25% | 10 May → | |
| nuke | 4–13 | -0.03 | 30% | 10 May → | |
| mirage | 13–8 | 0.03 | 14% | 10 May → | |
| dust2 | 13–3 | 0.05 | 26% | 9 May → | |
| ancient | 13–3 | 0.09 | 26% | 1 May → | |
| dust2 | 11–13 | -0.10 | 18% | 24 Apr → | |
| ancient | 7–13 | 0.09 | 17% | 19 Apr → | |
| ancient | 11–13 | 0.06 | 23% | 14 Apr → | |
| nuke | 13–7 | 0.04 | 20% | 14 Apr → | |
| inferno | 13–9 | 0.07 | 23% | 12 Apr → | |
| mirage | 5–13 | -0.04 | 19% | 9 Apr → | |
| dust2 | 10–13 | 0.05 | 16% | 22 Mar → | |
| mirage | 7–13 | 0.02 | 22% | 22 Mar → | |
| mirage | 15–15 | 0.02 | 34% | 28 Feb → | |
| dust2 | 10–13 | -0.01 | 20% | 27 Feb → | |
| mirage | 13–3 | 0.01 | 35% | 27 Feb → | |
| ancient | 13–7 | -0.05 | 13% | 26 Feb → | |
| ancient | 16–12 | -0.06 | 11% | 26 Feb → | |
| mirage | 3–13 | -0.05 | 27% | 26 Feb → | |
| anubis | 13–11 | -0.06 | 20% | 26 Feb → | |
| anubis | 4–13 | -0.01 | 14% | 26 Feb → | |
| train | 13–11 | 0.08 | 24% | 24 Feb → | |
| ancient | 12–3 | 0.02 | 11% | 21 Feb → | |
| train | 11–13 | 0.02 | 17% | 21 Feb → | |
| nuke | 13–4 | -0.01 | 14% | 20 Feb → | |
| nuke | 16–14 | -0.02 | 22% | 19 Feb → | |
| anubis | 6–13 | -0.07 | 30% | 19 Feb → | |
| dust2 | 13–7 | -0.03 | 24% | 16 Feb → | |
| inferno | 13–7 | 0.07 | 26% | 8 Feb → | |
| ancient | 1–13 | -0.05 | 29% | 8 Feb → | |
| anubis | 9–13 | 0.01 | 18% | 7 Feb → | |
| dust2 | 13–1 | 0.02 | 20% | 26 Jan → | |
| inferno | 4–13 | -0.10 | 13% | 26 Jan → | |
| dust2 | 8–13 | -0.03 | 17% | 22 Jan → | |
| inferno | 11–13 | -0.06 | 35% | 19 Jan → | |
| mirage | 8–13 | -0.03 | 30% | 19 Jan → | |
| mirage | 13–7 | -0.06 | 37% | 19 Jan → | |
| mirage | 8–13 | -0.06 | 26% | 18 Jan → | |
| inferno | 9–13 | -0.05 | 28% | 18 Jan → | |
| ancient | 13–7 | -0.01 | 26% | 18 Jan → | |
| nuke | 13–6 | -0.08 | 29% | 16 Jan → |
Match data via Leetify.