Faker — CS2 Stats
76561197991155960[U:1:30890232]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 90% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower aim profile; lower positioning 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
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 50% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 600ms 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 24 | 11–13 | 46% | -0.03 | |
| B | 23 | 11–12 | 48% | 0.01 | |
| C | 16 | 7–9 | 44% | -0.00 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| D | 9 | 3–6 | 33% | -0.02 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke 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 resultsLLLLL
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 13.0808% — 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 0.4842 — 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 26.2153% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.04 | 16% | 28 Aug → | ||
| 13–11 | 0.04 | 12% | 28 Aug → | ||
| 13–11 | 0.03 | 13% | 28 Aug → | ||
| 13–10 | 0.02 | 16% | 28 Aug → | ||
| 3–13 | -0.07 | 16% | 27 Aug → | ||
| 6–13 | -0.02 | 8% | 27 Aug → | ||
| 13–8 | -0.05 | 14% | 27 Aug → | ||
| 10–13 | -0.01 | 12% | 27 Aug → | ||
| 13–1 | 0.02 | 14% | 27 Aug → | ||
| 13–11 | 0.04 | 6% | 27 Aug → | ||
| 13–8 | -0.00 | 16% | 27 Aug → | ||
| 3–8 | -0.12 | 35% | 26 Aug → | ||
| 4–11 | -0.01 | 8% | 26 Aug → | ||
| 5–13 | 0.00 | 14% | 25 Aug → | ||
| 5–13 | -0.08 | 4% | 25 Aug → | ||
| 13–8 | -0.05 | 12% | 25 Aug → | ||
| 15–15 | 0.02 | 16% | 23 Aug → | ||
| 11–13 | -0.07 | 5% | 22 Aug → | ||
| 15–15 | 0.07 | 27% | 21 Aug → | ||
| 13–11 | 0.03 | 6% | 21 Aug → | ||
| 13–11 | -0.05 | 15% | 19 Aug → | ||
| 7–13 | -0.07 | 10% | 18 Aug → | ||
| 13–10 | -0.01 | 18% | 17 Aug → | ||
| 5–13 | 0.01 | 19% | 17 Aug → | ||
| 9–13 | 0.03 | 14% | 17 Aug → | ||
| 12–16 | -0.06 | 7% | 16 Aug → | ||
| 12–16 | 0.03 | 13% | 16 Aug → | ||
| 13–11 | -0.03 | 9% | 16 Aug → | ||
| 11–13 | -0.01 | 18% | 16 Aug → | ||
| 8–13 | -0.05 | 9% | 16 Aug → | ||
| 14–16 | -0.03 | 7% | 15 Aug → | ||
| 13–1 | 0.06 | 18% | 14 Aug → | ||
| 13–8 | -0.04 | 12% | 14 Aug → | ||
| 13–3 | 0.05 | 10% | 14 Aug → | ||
| 9–13 | -0.01 | 12% | 14 Aug → | ||
| 8–13 | -0.01 | 12% | 14 Aug → | ||
| 0–5 | -0.03 | 36% | 13 Aug → | ||
| 16–13 | -0.02 | 14% | 13 Aug → | ||
| 15–15 | -0.06 | 18% | 12 Aug → | ||
| 13–6 | 0.09 | 14% | 12 Aug → | ||
| 13–11 | -0.03 | 29% | 11 Aug → | ||
| 5–13 | 0.00 | 13% | 11 Aug → | ||
| 13–8 | -0.01 | 3% | 10 Aug → | ||
| 7–13 | 0.06 | 14% | 9 Aug → | ||
| 9–13 | -0.06 | 8% | 9 Aug → | ||
| 9–13 | 0.04 | 10% | 9 Aug → | ||
| 8–13 | 0.01 | 13% | 6 Aug → | ||
| 16–14 | -0.07 | 13% | 5 Aug → | ||
| 13–7 | 0.11 | 10% | 5 Aug → | ||
| 8–13 | -0.03 | 14% | 31 Jul → | ||
| 13–5 | -0.01 | 16% | 30 Jul → | ||
| 13–3 | -0.04 | 6% | 30 Jul → | ||
| 5–13 | -0.02 | 13% | 30 Jul → | ||
| 4–13 | -0.05 | 11% | 29 Jul → | ||
| 13–6 | 0.03 | 9% | 29 Jul → | ||
| 9–13 | 0.00 | 13% | 29 Jul → | ||
| 13–1 | -0.01 | 10% | 27 Jul → | ||
| 13–9 | 0.03 | 20% | 27 Jul → | ||
| 9–13 | 0.01 | 10% | 27 Jul → | ||
| 16–12 | -0.04 | 12% | 27 Jul → | ||
| 13–4 | 0.10 | 5% | 27 Jul → | ||
| 13–8 | 0.04 | 17% | 27 Jul → | ||
| 6–13 | -0.08 | 13% | 27 Jul → | ||
| 13–10 | -0.06 | 15% | 24 Jul → | ||
| 10–13 | 0.04 | 19% | 23 Jul → | ||
| 8–13 | 0.03 | 8% | 23 Jul → | ||
| 13–10 | 0.08 | 9% | 23 Jul → | ||
| 8–13 | -0.03 | 13% | 17 Jul → | ||
| 6–13 | -0.06 | 13% | 17 Jul → | ||
| 6–13 | -0.09 | 21% | 17 Jul → | ||
| 16–13 | 0.04 | 21% | 17 Jul → | ||
| 16–14 | -0.01 | 8% | 10 Jul → | ||
| 5–13 | -0.03 | 13% | 10 Jul → | ||
| 13–4 | 0.00 | 15% | 9 Jul → | ||
| 15–15 | -0.01 | 14% | 6 Jul → | ||
| 13–4 | -0.07 | 8% | 6 Jul → | ||
| 13–11 | -0.02 | 11% | 3 Jul → | ||
| 13–5 | 0.07 | 5% | 3 Jul → | ||
| 13–10 | 0.02 | 6% | 30 Jun → | ||
| 13–9 | 0.01 | 15% | 30 Jun → | ||
| 10–13 | 0.01 | 12% | 29 Jun → | ||
| 13–4 | 0.05 | 15% | 29 Jun → | ||
| 13–3 | 0.01 | 5% | 29 Jun → | ||
| 7–13 | -0.09 | 13% | 28 Jun → | ||
| 8–13 | 0.06 | 11% | 18 Jun → | ||
| 13–11 | 0.02 | 9% | 18 Jun → | ||
| 13–11 | 0.04 | 11% | 17 Jun → | ||
| 11–13 | 0.01 | 16% | 12 Jun → | ||
| 1–5 | 0.04 | 43% | 12 Jun → | ||
| 16–13 | 0.07 | 12% | 11 Jun → | ||
| 11–13 | 0.03 | 5% | 10 Jun → | ||
| 13–11 | -0.01 | 8% | 13 May → | ||
| 6–13 | -0.09 | 7% | 11 May → | ||
| 13–7 | 0.10 | 22% | 11 May → | ||
| 13–4 | 0.15 | 19% | 11 May → | ||
| 4–13 | -0.02 | 17% | 25 Apr → | ||
| 9–13 | -0.06 | 12% | 23 Apr → | ||
| 13–6 | 0.09 | 12% | 18 Apr → | ||
| 7–13 | 0.01 | 11% | 18 Apr → | ||
| 7–13 | -0.05 | 14% | 18 Apr → |
Match data via Leetify.