babalou — CS2 Stats
76561198137536171[U:1:177270443]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=3,953), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 36.8% | 41.5% | 44.2% | 7.4% short |
| Shot accuracy | 12.2% | 9.1% | 11.7% | above |
| Kill/death ratio | 0.89 | 0.98 | 1.03 | 0.13 short |
| Match win rate | 46.0% | 43.7% | 45.2% | meets |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Purple 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.
Recent form
Last 10 vs previous 10: +10pp 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 73% 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
T-side openings. Opening success drops from 41% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 cache | A | 24 | 15–9 | 63% | -0.02 |
 dust2 | C | 19 | 7–12 | 37% | -0.02 |
 anubis | B | 17 | 9–8 | 53% | 0.00 |
 ancient | C | 12 | 5–7 | 42% | -0.01 |
 mirage | D | 12 | 3–9 | 25% | -0.04 |
 nuke | D | 9 | 3–6 | 33% | -0.01 |
 inferno | — | 4 | 3–1 | 75% | 0.02 |
 train | — | 2 | 2–0 | 100% | 0.02 |
| cache_b | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (25% over 12). 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 1.14 | 16.5 |
| Ancient | 1 | 0% | 0.92 | 12.0 |
| Overpass | 1 | 0% | 0.83 | 25.0 |
| Nuke | 1 | 0% | 0.76 | 13.0 |
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.
- 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 14.1957% — below the 15% 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 19.9272% — 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–10 | 0.02 | 14% | 29 Aug → | |
| anubis | 13–10 | -0.02 | 10% | 29 Aug → | |
| anubis | 13–10 | 0.08 | 13% | 28 Aug → | |
| nuke | 13–6 | 0.08 | 17% | 28 Aug → | |
| dust2 | 6–11 | -0.05 | 6% | 28 Aug → | |
| dust2 | 10–13 | 0.06 | 15% | 28 Aug → | |
| cache | 13–9 | -0.01 | 13% | 22 Aug → | |
| dust2 | 1–13 | -0.04 | 14% | 22 Aug → | |
| dust2 | 6–13 | -0.04 | 12% | 22 Aug → | |
| cache | 16–13 | -0.01 | 14% | 17 Aug → | |
| dust2 | 13–3 | 0.08 | 18% | 17 Aug → | |
| ancient | 6–13 | 0.04 | 22% | 17 Aug → | |
| mirage | 20–22 | -0.07 | 13% | 16 Aug → | |
| cache | 13–10 | -0.04 | 18% | 16 Aug → | |
| anubis | 13–11 | -0.04 | 11% | 15 Aug → | |
| anubis | 13–9 | -0.02 | 13% | 15 Aug → | |
| cache | 13–5 | 0.04 | 20% | 15 Aug → | |
| anubis | 13–16 | -0.04 | 16% | 15 Aug → | |
| ancient | 7–13 | -0.03 | 10% | 14 Aug → | |
| mirage | 4–13 | -0.10 | 15% | 14 Aug → | |
| ancient | 13–5 | -0.03 | 19% | 14 Aug → | |
| nuke | 6–13 | 0.07 | 28% | 14 Aug → | |
| ancient | 13–5 | 0.08 | 8% | 14 Aug → | |
| mirage | 13–6 | 0.01 | 11% | 8 Aug → | |
| dust2 | 13–10 | -0.05 | 8% | 8 Aug → | |
| mirage | 11–13 | -0.05 | 15% | 8 Aug → | |
| cache | 7–13 | 0.03 | 11% | 8 Aug → | |
| dust2 | 5–13 | -0.09 | 11% | 8 Aug → | |
| mirage | 6–13 | -0.08 | 19% | 8 Aug → | |
| ancient | 8–13 | -0.06 | 18% | 8 Aug → | |
| anubis | 6–13 | 0.00 | 17% | 7 Aug → | |
| mirage | 8–13 | -0.04 | 18% | 7 Aug → | |
| anubis | 16–13 | 0.05 | 9% | 6 Aug → | |
| cache | 16–12 | -0.05 | 8% | 6 Aug → | |
| mirage | 11–13 | -0.01 | 13% | 6 Aug → | |
| dust2 | 5–13 | -0.08 | 23% | 5 Aug → | |
| cache | 13–16 | 0.02 | 29% | 5 Aug → | |
| inferno | 13–4 | -0.04 | 19% | 5 Aug → | |
| anubis | 13–7 | 0.05 | 20% | 4 Aug → | |
| nuke | 13–5 | -0.03 | 10% | 4 Aug → | |
| mirage | 16–14 | -0.04 | 14% | 4 Aug → | |
| cache | 8–13 | -0.04 | 27% | 3 Aug → | |
| anubis | 15–15 | -0.05 | 14% | 3 Aug → | |
| cache | 13–5 | 0.08 | 15% | 3 Aug → | |
| cache | 13–9 | -0.04 | 17% | 31 Jul → | |
| anubis | 8–13 | -0.07 | 5% | 30 Jul → | |
| dust2 | 7–13 | -0.05 | 17% | 30 Jul → | |
| dust2 | 13–11 | -0.06 | 24% | 30 Jul → | |
| ancient | 16–14 | -0.03 | 10% | 29 Jul → | |
| cache | 13–3 | -0.07 | 18% | 29 Jul → | |
| dust2 | 0–7 | -0.03 | 31% | 29 Jul → | |
| dust2 | 13–5 | -0.01 | 24% | 29 Jul → | |
| ancient | 8–13 | -0.11 | 13% | 29 Jul → | |
| cache | 16–14 | -0.02 | 10% | 28 Jul → | |
| ancient | 9–13 | -0.04 | 11% | 28 Jul → | |
| anubis | 9–13 | 0.01 | 16% | 28 Jul → | |
| cache | 11–13 | -0.03 | 15% | 27 Jul → | |
| cache | 13–11 | 0.01 | 8% | 27 Jul → | |
| anubis | 10–13 | -0.02 | 12% | 27 Jul → | |
| ancient | 13–9 | 0.06 | 24% | 27 Jul → | |
| cache | 9–13 | -0.08 | 9% | 10 Jul → | |
| nuke | 13–3 | 0.03 | 10% | 10 Jul → | |
| cache | 13–5 | -0.00 | 13% | 10 Jul → | |
| dust2 | 13–4 | 0.00 | 13% | 10 Jul → | |
| anubis | 13–2 | 0.03 | 10% | 10 Jul → | |
| cache | 8–13 | -0.02 | 19% | 8 Jul → | |
| cache | 6–13 | -0.05 | 23% | 7 Jul → | |
| anubis | 13–9 | -0.06 | 22% | 7 Jul → | |
| cache | 13–4 | 0.02 | 17% | 7 Jul → | |
| cache | 13–1 | 0.01 | 7% | 7 Jul → | |
| cache | 13–5 | -0.00 | 11% | 7 Jul → | |
| ancient | 16–14 | 0.02 | 15% | 5 Jul → | |
| anubis | 10–13 | -0.01 | 16% | 18 Jun → | |
| nuke | 1–13 | -0.09 | 15% | 6 Jun → | |
| dust2 | 13–5 | 0.10 | 10% | 3 Jun → | |
| train | 13–9 | 0.04 | 26% | 3 Jun → | |
| mirage | 7–13 | -0.05 | 19% | 30 May → | |
| ancient | 6–13 | -0.03 | 14% | 13 May → | |
| cache | 9–13 | -0.02 | 10% | 13 May → | |
| cache | 5–13 | -0.03 | 28% | 9 May → | |
| anubis | 7–13 | 0.06 | 8% | 3 May → | |
| mirage | 13–11 | -0.03 | 17% | 3 May → | |
| dust2 | 1–13 | -0.07 | 20% | 2 May → | |
| cache | 13–8 | -0.07 | 21% | 2 May → | |
| nuke | 15–15 | -0.00 | 19% | 2 May → | |
| nuke | 11–13 | -0.03 | 5% | 2 May → | |
| inferno | 13–3 | 0.11 | 14% | 2 May → | |
| nuke | 5–13 | -0.01 | 5% | 30 Apr → | |
| nuke | 5–13 | -0.10 | 8% | 23 Apr → | |
| dust2 | 13–8 | -0.02 | 14% | 23 Apr → | |
| dust2 | 11–13 | -0.03 | 9% | 18 Apr → | |
| mirage | 7–13 | -0.02 | 21% | 18 Apr → | |
| mirage | 4–13 | -0.02 | 10% | 12 Apr → | |
| inferno | 9–13 | 0.00 | 20% | 8 Apr → | |
| anubis | 13–11 | 0.11 | 12% | 4 Apr → | |
| dust2 | 10–13 | 0.02 | 26% | 25 Mar → | |
| dust2 | 8–13 | -0.05 | 15% | 12 Jan → | |
| cache_b | 6–13 | -0.06 | 33% | 10 Jan → | |
| ancient | 11–13 | -0.03 | 7% | 9 Jan → | |
| train | 13–1 | 0.01 | 7% | 9 Jan → |
Match data via Leetify.
