Bafala — CS2 Stats
DK76561198054354955[U:1:94089227]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 31.4% | 42.7% | 44.0% | 12.6% short |
| Shot accuracy | 19.3% | 10.8% | 11.6% | above |
| Kill/death ratio | 0.86 | 1.00 | 1.03 | 0.17 short |
| Match win rate | 41.1% | 44.1% | 45.1% | 4.0% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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: +0pp win rate · -0.02 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 NiKo 71% 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
Reaction time. 693ms 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 3.4/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 26 | 13–13 | 50% | -0.01 | |
| A | 18 | 10–8 | 56% | -0.03 | |
| B | 18 | 9–9 | 50% | -0.02 | |
| B | 11 | 5–6 | 45% | -0.03 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| D | 8 | 2–6 | 25% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 95 | 57% | 0.96 | 13.4 |
| Ancient | 63 | 40% | 0.93 | 15.2 |
| Vertigo | 46 | 50% | 0.88 | 13.8 |
| Inferno | 38 | 34% | 0.83 | 14.4 |
| Train | 26 | 42% | 0.89 | 14.0 |
| Anubis | 25 | 44% | 0.84 | 13.8 |
| Overpass | 25 | 60% | 0.99 | 14.4 |
| Mirage | 13 | 31% | 0.88 | 12.6 |
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 11.9704% — 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 0.2169 — 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 25.0141% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.01 | 24% | 17 Jan → | ||
| 7–13 | -0.03 | 19% | 17 Jan → | ||
| 9–13 | -0.06 | 5% | 16 Jan → | ||
| 13–8 | -0.07 | 17% | 8 Jan → | ||
| 13–7 | -0.06 | 10% | 7 Jan → | ||
| 17–19 | -0.01 | 15% | 7 Jan → | ||
| 13–6 | -0.07 | 5% | 6 Jan → | ||
| 16–13 | -0.03 | 27% | 11 Dec → | ||
| 8–13 | -0.04 | 18% | 11 Dec → | ||
| 8–13 | -0.06 | 11% | 2 Dec → | ||
| 13–11 | -0.01 | 11% | 30 Nov → | ||
| 13–10 | -0.04 | 14% | 30 Nov → | ||
| 5–13 | -0.03 | 15% | 28 Nov → | ||
| 11–13 | -0.08 | 21% | 27 Nov → | ||
| 16–14 | -0.02 | 7% | 25 Nov → | ||
| 16–14 | 0.02 | 8% | 25 Nov → | ||
| 9–13 | 0.02 | 23% | 25 Nov → | ||
| 11–13 | -0.06 | 0% | 27 Jul → | ||
| 13–16 | -0.04 | 8% | 15 Jul → | ||
| 13–4 | 0.01 | 13% | 15 Jun → | ||
| 11–13 | -0.04 | 4% | 11 May → | ||
| 9–13 | -0.05 | 0% | 10 May → | ||
| 10–13 | 0.02 | 14% | 3 May → | ||
| 13–11 | 0.00 | 14% | 20 Apr → | ||
| 13–11 | -0.02 | 5% | 11 Apr → | ||
| 13–7 | 0.01 | 11% | 11 Apr → | ||
| 13–11 | -0.01 | 18% | 11 Apr → | ||
| 13–10 | 0.02 | 5% | 11 Apr → | ||
| 8–13 | -0.03 | 12% | 11 Apr → | ||
| 5–13 | 0.01 | 5% | 11 Apr → | ||
| 6–13 | -0.05 | 10% | 19 Dec → | ||
| 9–13 | -0.03 | 14% | 5 Nov → | ||
| 13–8 | 0.02 | 11% | 1 Nov → | ||
| 13–4 | 0.12 | 9% | 24 Oct → | ||
| 9–13 | -0.04 | 17% | 22 Aug → | ||
| 7–13 | -0.06 | 28% | 22 Apr → | ||
| 19–17 | 0.04 | 10% | 26 Feb → | ||
| 3–13 | -0.04 | 16% | 29 Jan → | ||
| 6–13 | -0.06 | 12% | 23 Jan → | ||
| 13–6 | 0.02 | 13% | 23 Jan → | ||
| 6–13 | -0.02 | 16% | 20 Jan → | ||
| 19–16 | -0.00 | 12% | 19 Jan → | ||
| 13–2 | 0.02 | 15% | 17 Jan → | ||
| 9–13 | -0.05 | 6% | 6 Jan → | ||
| 8–13 | -0.01 | 6% | 6 Jan → | ||
| 8–13 | 0.03 | 18% | 5 Jan → | ||
| 5–13 | -0.10 | 14% | 3 Jan → | ||
| 13–9 | 0.02 | 21% | 3 Jan → | ||
| 5–13 | -0.07 | 7% | 2 Jan → | ||
| 6–13 | -0.07 | 21% | 29 Dec → | ||
| 7–13 | 0.03 | 20% | 18 Dec → | ||
| 13–3 | 0.07 | 11% | 7 Oct → | ||
| 19–17 | 0.00 | 7% | 24 Sept → | ||
| 9–16 | -0.01 | 15% | 23 Sept → | ||
| 16–13 | 0.06 | 8% | 3 Sept → | ||
| 16–14 | -0.06 | 4% | 2 Sept → | ||
| 16–10 | 0.02 | 14% | 2 Sept → | ||
| 22–20 | -0.01 | 10% | 2 Sept → | ||
| 7–16 | -0.10 | 7% | 1 Sept → | ||
| 12–16 | -0.05 | 6% | 27 Aug → | ||
| 14–16 | -0.02 | 8% | 26 Aug → | ||
| 12–16 | -0.03 | 9% | 22 Aug → | ||
| 16–10 | 0.05 | 19% | 22 Aug → | ||
| 19–16 | 0.01 | 8% | 22 Aug → | ||
| 13–1 | 0.01 | 13% | 22 Aug → | ||
| 16–6 | -0.06 | 5% | 19 Aug → | ||
| 16–10 | -0.03 | 18% | 9 Jul → | ||
| 19–16 | -0.01 | 7% | 8 Jul → | ||
| 16–7 | -0.02 | 6% | 25 Jun → | ||
| 16–14 | -0.01 | 10% | 25 Jun → | ||
| 16–9 | -0.02 | 7% | 24 Jun → | ||
| 16–4 | 0.07 | 9% | 24 Jun → | ||
| 13–16 | -0.04 | 8% | 10 Jun → | ||
| 16–14 | -0.03 | 12% | 9 Jun → | ||
| 6–16 | -0.07 | 9% | 29 May → | ||
| 13–16 | -0.10 | 0% | 29 May → | ||
| 19–16 | 0.04 | 10% | 29 May → | ||
| 21–25 | -0.01 | 10% | 27 May → | ||
| 16–12 | -0.02 | 9% | 27 May → | ||
| 16–4 | -0.03 | 10% | 22 May → | ||
| 9–16 | -0.05 | 8% | 21 May → | ||
| 20–22 | 0.00 | 6% | 21 May → | ||
| 10–16 | -0.04 | 4% | 21 May → | ||
| 16–9 | -0.05 | 6% | 19 May → | ||
| 16–9 | -0.04 | 12% | 18 May → | ||
| 14–16 | -0.02 | 11% | 18 May → | ||
| 10–16 | -0.06 | 9% | 18 May → | ||
| 8–16 | -0.07 | 8% | 18 May → | ||
| 17–19 | 0.01 | 13% | 14 May → | ||
| 5–16 | -0.06 | 7% | 14 May → | ||
| 8–16 | -0.10 | 3% | 13 May → | ||
| 16–9 | -0.02 | 7% | 13 May → | ||
| 12–16 | 0.01 | 12% | 30 Apr → | ||
| 8–16 | -0.08 | 15% | 30 Apr → | ||
| 6–16 | -0.03 | 5% | 30 Apr → | ||
| 16–14 | -0.01 | 8% | 29 Apr → | ||
| 16–13 | -0.02 | 11% | 23 Apr → | ||
| 7–16 | -0.02 | 2% | 23 Apr → | ||
| 16–13 | -0.04 | 6% | 14 Apr → | ||
| 13–16 | -0.04 | 8% | 9 Apr → |
Match data via Leetify.