Nifty — CS2 Stats
PRO“young gerald”RetiredUnited StatesIGLSettings & gear profile →
US76561198123624249[U:1:163358521]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 27,571
- Next: Gold band at 30,000 — 2,429 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerHigh 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 Twistzz 96% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.
Reaction time. 603ms 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 7.7/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 19 | 12–7 | 63% | 0.05 | |
| B | 16 | 8–8 | 50% | 0.02 | |
| S | 15 | 11–4 | 73% | 0.02 | |
| B | 13 | 6–7 | 46% | 0.02 | |
| S | 12 | 9–3 | 75% | 0.05 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| C | 8 | 3–5 | 38% | 0.03 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| — | 1 | 0–1 | 0% | 0.03 | |
| shelter | — | 1 | 1–0 | 100% | 0.16 |
| — | 1 | 0–1 | 0% | 0.03 | |
| alpine | — | 1 | 0–1 | 0% | 0.09 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 113 | 60% | 1.39 | 17.2 |
| Anubis | 76 | 74% | 1.39 | 17.1 |
| Ancient | 56 | 43% | 1.12 | 14.8 |
| Nuke | 42 | 60% | 1.36 | 19.0 |
| Inferno | 26 | 54% | 1.37 | 20.0 |
| Vertigo | 22 | 50% | 1.08 | 15.8 |
| Overpass | 20 | 50% | 1.21 | 15.2 |
| Dust2 | 13 | 54% | 1.19 | 18.1 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.12 | 35% | 27 Aug → | ||
| 2–13 | -0.07 | 17% | 27 Aug → | ||
| 2–13 | -0.04 | 43% | 27 Aug → | ||
| 13–11 | 0.04 | 21% | 19 Aug → | ||
| 13–10 | 0.12 | 26% | 19 Aug → | ||
| 13–2 | 0.07 | 37% | 19 Aug → | ||
| 13–11 | 0.05 | 48% | 19 Aug → | ||
| 13–4 | -0.01 | 45% | 19 Aug → | ||
| 13–5 | 0.10 | 25% | 19 Aug → | ||
| 16–13 | 0.04 | 29% | 19 Aug → | ||
| 13–6 | -0.00 | 23% | 19 Aug → | ||
| 5–13 | 0.01 | 14% | 19 Aug → | ||
| 3–13 | -0.08 | 44% | 19 Aug → | ||
| 16–12 | 0.03 | 33% | 18 Aug → | ||
| 13–9 | 0.01 | 35% | 16 Aug → | ||
| 13–10 | 0.09 | 55% | 16 Aug → | ||
| 9–13 | 0.03 | 23% | 16 Aug → | ||
| 5–13 | 0.07 | 20% | 15 Aug → | ||
| 4–13 | -0.03 | 21% | 15 Aug → | ||
| 13–1 | 0.08 | 21% | 15 Aug → | ||
| 13–4 | 0.08 | 35% | 15 Aug → | ||
| 13–2 | 0.09 | 38% | 15 Aug → | ||
| 13–11 | 0.20 | 37% | 15 Aug → | ||
| 13–7 | 0.11 | 35% | 15 Aug → | ||
| 13–5 | 0.08 | 46% | 15 Aug → | ||
| 13–6 | 0.08 | 35% | 14 Aug → | ||
| 7–13 | -0.01 | 15% | 14 Aug → | ||
| 16–13 | 0.07 | 30% | 14 Aug → | ||
| 11–13 | 0.11 | 26% | 14 Aug → | ||
| 13–9 | 0.05 | 25% | 14 Aug → | ||
| 13–4 | 0.09 | 27% | 14 Aug → | ||
| 0–3 | -0.12 | 0% | 12 Aug → | ||
| 13–7 | 0.09 | 28% | 12 Aug → | ||
| 13–5 | 0.06 | 27% | 12 Aug → | ||
| 13–3 | 0.12 | 32% | 12 Aug → | ||
| 14–16 | 0.01 | 20% | 10 Aug → | ||
| 13–3 | 0.03 | 35% | 9 Aug → | ||
| 13–16 | 0.03 | 22% | 7 Aug → | ||
| 8–13 | 0.00 | 23% | 7 Aug → | ||
| 5–13 | 0.04 | 32% | 7 Aug → | ||
| 13–10 | -0.01 | 28% | 6 Aug → | ||
| 5–13 | -0.08 | 21% | 6 Aug → | ||
| 12–12 | -0.01 | 20% | 6 Aug → | ||
| 13–0 | 0.06 | 18% | 6 Aug → | ||
| 13–9 | 0.10 | 34% | 6 Aug → | ||
| 10–13 | 0.03 | 19% | 6 Aug → | ||
| shelter | 5–0 | 0.16 | 56% | 5 Aug → | |
| 6–13 | -0.00 | 24% | 5 Aug → | ||
| 16–12 | -0.01 | 31% | 4 Aug → | ||
| 14–16 | 0.00 | 25% | 3 Aug → | ||
| 8–13 | 0.00 | 32% | 3 Aug → | ||
| 13–10 | -0.04 | 23% | 24 Jul → | ||
| 7–13 | 0.00 | 42% | 24 Jul → | ||
| 12–12 | 0.03 | 28% | 24 Jul → | ||
| 12–12 | 0.05 | 30% | 24 Jul → | ||
| 5–13 | 0.05 | 21% | 24 Jul → | ||
| 6–0 | 0.10 | 42% | 24 Jul → | ||
| 10–13 | 0.11 | 20% | 24 Jul → | ||
| 13–5 | 0.00 | 22% | 23 Jul → | ||
| 13–3 | 0.01 | 39% | 23 Jul → | ||
| 12–12 | 0.12 | 24% | 23 Jul → | ||
| 13–10 | 0.05 | 35% | 23 Jul → | ||
| 5–13 | -0.02 | 33% | 23 Jul → | ||
| 2–13 | -0.04 | 23% | 23 Jul → | ||
| 2–13 | 0.01 | 33% | 23 Jul → | ||
| 5–13 | 0.06 | 41% | 23 Jul → | ||
| 10–13 | 0.01 | 28% | 23 Jul → | ||
| 12–12 | 0.07 | 28% | 22 Jul → | ||
| 13–9 | -0.02 | 32% | 22 Jul → | ||
| 13–10 | -0.00 | 44% | 22 Jul → | ||
| 13–11 | 0.08 | 30% | 22 Jul → | ||
| 13–11 | 0.01 | 33% | 22 Jul → | ||
| 7–13 | 0.00 | 35% | 22 Jul → | ||
| 8–13 | -0.04 | 32% | 22 Jul → | ||
| 10–13 | -0.03 | 35% | 21 Jul → | ||
| 10–13 | 0.01 | 28% | 21 Jul → | ||
| 13–3 | 0.02 | 29% | 4 Jul → | ||
| 13–5 | 0.04 | 41% | 4 Jul → | ||
| 13–9 | 0.05 | 21% | 4 Jul → | ||
| 13–8 | -0.01 | 29% | 4 Jul → | ||
| 12–12 | -0.01 | 32% | 4 Jul → | ||
| 13–5 | -0.03 | 54% | 4 Jul → | ||
| 13–5 | -0.00 | 22% | 4 Jul → | ||
| 13–7 | -0.04 | 31% | 1 Jul → | ||
| 8–4 | -0.01 | 25% | 1 Jul → | ||
| 13–6 | 0.02 | 22% | 1 Jul → | ||
| 13–4 | 0.02 | 29% | 1 Jul → | ||
| 13–5 | 0.03 | 24% | 1 Jul → | ||
| 13–2 | 0.09 | 14% | 1 Jul → | ||
| 13–6 | 0.05 | 31% | 30 Jun → | ||
| 8–13 | 0.07 | 35% | 30 Jun → | ||
| 3–13 | -0.03 | 10% | 30 Jun → | ||
| 7–13 | 0.05 | 25% | 30 Jun → | ||
| alpine | 12–12 | 0.09 | 29% | 30 Jun → | |
| 13–7 | 0.09 | 26% | 29 Jun → | ||
| 7–2 | 0.01 | 33% | 29 Jun → | ||
| 13–4 | 0.01 | 47% | 29 Jun → | ||
| 13–6 | 0.08 | 37% | 28 Jun → | ||
| 9–13 | 0.04 | 18% | 28 Jun → | ||
| 13–1 | 0.10 | 67% | 28 Jun → |
Match data via Leetify.