facecrack — CS2 Stats
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Rating over time
Faceit ELO
- At peak — 3,522
- Next: 4,000 ELO at 4,000 — 478 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashesHigh utility contribution
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 b1t 91% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 77 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 60% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| C | 27 | 11–16 | 41% | -0.01 | |
| A | 19 | 11–8 | 58% | -0.02 | |
| D | 15 | 5–10 | 33% | -0.02 | |
| S | 15 | 10–5 | 67% | -0.01 | |
| D | 15 | 5–10 | 33% | -0.03 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.00 | |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 805 | 54% | 1.13 | 16.4 |
| Ancient | 506 | 59% | 1.16 | 15.7 |
| Dust2 | 400 | 54% | 1.15 | 16.2 |
| Anubis | 356 | 59% | 1.17 | 15.9 |
| Nuke | 308 | 61% | 1.16 | 15.7 |
| Inferno | 87 | 56% | 1.17 | 15.0 |
| Overpass | 76 | 54% | 1.01 | 15.3 |
| Vertigo | 32 | 47% | 0.98 | 16.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 12.6152° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.08 | 28% | 11 Jul → | ||
| 10–13 | -0.00 | 15% | 11 Jul → | ||
| 13–9 | -0.07 | 18% | 11 Jul → | ||
| 22–19 | -0.01 | 21% | 7 Jul → | ||
| 9–13 | -0.02 | 10% | 7 Jul → | ||
| 4–13 | -0.04 | 18% | 7 Jul → | ||
| 5–13 | -0.05 | 11% | 17 Jun → | ||
| 13–11 | 0.01 | 27% | 17 Jun → | ||
| 11–13 | -0.00 | 23% | 17 Jun → | ||
| 13–3 | -0.02 | 21% | 16 Jun → | ||
| 11–13 | -0.02 | 24% | 16 Jun → | ||
| 11–13 | -0.04 | 20% | 16 Jun → | ||
| 13–7 | -0.02 | 26% | 13 Jun → | ||
| 13–11 | 0.03 | 8% | 13 Jun → | ||
| 13–1 | -0.04 | 4% | 11 Jun → | ||
| 13–9 | -0.00 | 22% | 11 Jun → | ||
| 13–9 | 0.02 | 19% | 9 Jun → | ||
| 6–13 | -0.05 | 20% | 9 Jun → | ||
| 7–13 | -0.04 | 25% | 9 Jun → | ||
| 14–16 | -0.05 | 14% | 8 Jun → | ||
| 10–13 | -0.03 | 11% | 8 Jun → | ||
| 11–13 | -0.08 | 14% | 4 Jun → | ||
| 13–8 | 0.02 | 15% | 4 Jun → | ||
| 14–16 | -0.04 | 15% | 4 Jun → | ||
| 13–2 | 0.05 | 38% | 27 May → | ||
| 4–13 | -0.05 | 19% | 26 May → | ||
| 11–13 | -0.03 | 20% | 26 May → | ||
| 9–13 | -0.02 | 8% | 22 May → | ||
| 9–13 | -0.01 | 23% | 22 May → | ||
| 2–13 | -0.03 | 47% | 22 May → | ||
| 10–13 | -0.05 | 13% | 22 May → | ||
| 13–8 | -0.03 | 20% | 22 May → | ||
| 13–5 | 0.00 | 23% | 21 May → | ||
| 13–10 | 0.02 | 11% | 20 May → | ||
| 13–9 | 0.01 | 31% | 20 May → | ||
| 16–14 | -0.04 | 13% | 19 May → | ||
| 10–13 | -0.02 | 30% | 19 May → | ||
| 13–4 | 0.05 | 25% | 19 May → | ||
| 18–22 | -0.04 | 17% | 18 May → | ||
| 6–13 | -0.03 | 13% | 18 May → | ||
| 11–13 | -0.00 | 26% | 2 May → | ||
| 13–11 | -0.04 | 9% | 2 May → | ||
| 5–13 | -0.04 | 22% | 2 May → | ||
| 13–2 | 0.06 | 24% | 2 May → | ||
| 13–16 | -0.05 | 10% | 2 May → | ||
| 5–13 | -0.04 | 31% | 2 May → | ||
| 13–10 | -0.03 | 16% | 1 May → | ||
| 13–7 | -0.05 | 18% | 1 May → | ||
| 13–4 | 0.03 | 18% | 30 Apr → | ||
| 13–4 | 0.01 | 18% | 30 Apr → | ||
| 1–10 | -0.09 | 45% | 30 Apr → | ||
| 14–16 | -0.03 | 21% | 30 Apr → | ||
| 16–13 | -0.01 | 11% | 30 Apr → | ||
| 14–16 | 0.00 | 19% | 29 Apr → | ||
| 13–7 | 0.02 | 14% | 20 Apr → | ||
| 5–13 | 0.03 | 35% | 10 Apr → | ||
| 11–13 | -0.03 | 22% | 10 Apr → | ||
| 13–1 | -0.04 | 11% | 9 Apr → | ||
| 6–13 | 0.01 | 26% | 9 Apr → | ||
| 10–13 | -0.03 | 27% | 8 Apr → | ||
| 14–16 | -0.03 | 23% | 8 Apr → | ||
| 11–13 | -0.02 | 12% | 7 Apr → | ||
| 7–13 | -0.04 | 14% | 7 Apr → | ||
| 9–13 | -0.06 | 10% | 7 Apr → | ||
| 13–1 | 0.03 | 25% | 7 Apr → | ||
| 10–13 | -0.06 | 14% | 5 Apr → | ||
| 13–10 | -0.00 | 25% | 5 Apr → | ||
| 13–10 | 0.06 | 22% | 5 Apr → | ||
| 11–13 | -0.03 | 15% | 5 Apr → | ||
| 13–5 | -0.00 | 22% | 5 Apr → | ||
| 13–9 | -0.03 | 33% | 3 Apr → | ||
| 13–2 | 0.03 | 25% | 2 Apr → | ||
| 14–16 | -0.06 | 16% | 2 Apr → | ||
| 13–8 | 0.04 | 18% | 1 Apr → | ||
| 13–16 | -0.04 | 13% | 1 Apr → | ||
| 13–4 | -0.05 | 18% | 1 Apr → | ||
| 3–13 | -0.08 | 13% | 1 Apr → | ||
| 11–13 | -0.04 | 12% | 1 Apr → | ||
| 13–11 | -0.03 | 14% | 31 Mar → | ||
| 13–8 | 0.02 | 20% | 31 Mar → | ||
| 2–13 | -0.08 | 30% | 31 Mar → | ||
| 13–1 | 0.01 | 14% | 30 Mar → | ||
| 13–11 | -0.04 | 20% | 30 Mar → | ||
| 10–13 | -0.00 | 21% | 30 Mar → | ||
| 11–13 | 0.02 | 28% | 30 Mar → | ||
| 16–13 | 0.04 | 20% | 30 Mar → | ||
| 13–6 | 0.03 | 20% | 29 Mar → | ||
| 11–13 | -0.03 | 28% | 29 Mar → | ||
| 13–11 | -0.02 | 28% | 29 Mar → | ||
| 13–2 | 0.02 | 10% | 29 Mar → | ||
| 16–13 | -0.05 | 13% | 29 Mar → | ||
| 12–9 | -0.02 | 22% | 28 Mar → | ||
| 13–7 | 0.00 | 21% | 28 Mar → | ||
| 11–13 | -0.01 | 20% | 28 Mar → | ||
| 7–9 | -0.05 | 36% | 28 Mar → | ||
| 13–5 | 0.06 | 21% | 28 Mar → | ||
| 3–4 | 0.08 | 4% | 27 Mar → | ||
| 5–9 | -0.11 | 15% | 27 Mar → | ||
| 13–3 | -0.03 | 22% | 27 Mar → | ||
| 0–2 | -0.02 | 0% | 27 Mar → |
Match data via Leetify.