GDL_Scientist科学家 — CS2 Stats
US76561199853252460[U:1:1892986732]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 778
- Next: Level 4 at 901 — 123 to go
- Reached: Level 3 · Level 2
- Level 3 first seen 2026-08-28
- Level 2 first seen 2026-08-28
Premier CS Rating
- At peak — 13,742
- Next: Purple band at 15,000 — 1,258 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.00 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 77% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% 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 3.4/10 (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 |
|---|---|---|---|---|---|
| B | 37 | 18–19 | 49% | -0.03 | |
| C | 30 | 13–17 | 43% | -0.05 | |
| C | 18 | 8–10 | 44% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.04 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.02 | |
| — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 30). 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 16 | 38% | 0.55 | 8.8 |
| Inferno | 13 | 46% | 0.63 | 10.8 |
| Dust2 | 9 | 56% | 0.70 | 11.4 |
| Nuke | 5 | 80% | 0.58 | 8.8 |
| Overpass | 3 | 67% | 0.52 | 8.7 |
| Ancient | 1 | 0% | 0.57 | 12.0 |
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.
- 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 23.3374% — 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.
43% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.05 | 23% | 23 Aug → | ||
| 10–13 | 0.02 | 32% | 23 Aug → | ||
| 11–13 | -0.07 | 18% | 22 Aug → | ||
| 7–13 | -0.11 | 14% | 22 Aug → | ||
| 13–1 | 0.03 | 14% | 22 Aug → | ||
| 7–13 | -0.10 | 3% | 22 Aug → | ||
| 13–10 | -0.10 | 11% | 22 Aug → | ||
| 13–3 | 0.03 | 46% | 22 Aug → | ||
| 16–13 | -0.07 | 19% | 18 Aug → | ||
| 13–7 | -0.01 | 21% | 17 Aug → | ||
| 5–13 | 0.05 | 17% | 17 Aug → | ||
| 12–12 | 0.01 | 33% | 17 Aug → | ||
| 9–13 | -0.06 | 55% | 17 Aug → | ||
| 11–13 | -0.02 | 23% | 17 Aug → | ||
| 3–13 | -0.12 | 6% | 17 Aug → | ||
| 13–5 | 0.04 | 24% | 16 Aug → | ||
| 13–11 | -0.08 | 21% | 16 Aug → | ||
| 9–13 | -0.02 | 10% | 15 Aug → | ||
| 2–13 | -0.09 | 4% | 15 Aug → | ||
| 6–13 | -0.09 | 9% | 14 Aug → | ||
| 6–13 | -0.04 | 7% | 13 Aug → | ||
| 9–13 | -0.02 | 17% | 13 Aug → | ||
| 13–5 | -0.04 | 19% | 11 Aug → | ||
| 13–11 | -0.06 | 17% | 11 Aug → | ||
| 5–13 | -0.06 | 8% | 10 Aug → | ||
| 10–13 | -0.07 | 23% | 9 Aug → | ||
| 8–13 | -0.06 | 17% | 8 Aug → | ||
| 7–13 | -0.06 | 4% | 7 Aug → | ||
| 8–13 | -0.06 | 20% | 7 Aug → | ||
| 13–4 | -0.02 | 32% | 7 Aug → | ||
| 10–13 | -0.06 | 18% | 3 Aug → | ||
| 13–9 | -0.02 | 11% | 3 Aug → | ||
| 13–11 | -0.08 | 11% | 3 Aug → | ||
| 13–7 | 0.01 | 18% | 3 Aug → | ||
| 13–6 | -0.02 | 20% | 3 Aug → | ||
| 13–6 | 0.04 | 20% | 3 Aug → | ||
| 13–1 | -0.05 | 8% | 3 Aug → | ||
| 13–6 | -0.06 | 0% | 3 Aug → | ||
| 5–13 | -0.07 | 14% | 3 Aug → | ||
| 7–13 | -0.01 | 25% | 2 Aug → | ||
| 3–13 | -0.13 | 8% | 2 Aug → | ||
| 5–13 | -0.06 | 13% | 1 Aug → | ||
| 10–13 | -0.03 | 36% | 1 Aug → | ||
| 13–3 | 0.10 | 22% | 1 Aug → | ||
| 3–13 | -0.01 | 21% | 31 Jul → | ||
| 13–10 | -0.01 | 14% | 31 Jul → | ||
| 13–7 | -0.00 | 24% | 31 Jul → | ||
| 8–13 | -0.03 | 22% | 31 Jul → | ||
| 13–9 | -0.03 | 16% | 31 Jul → | ||
| 6–13 | 0.04 | 22% | 31 Jul → | ||
| 10–13 | -0.06 | 17% | 30 Jul → | ||
| 13–5 | -0.09 | 6% | 30 Jul → | ||
| 0–13 | -0.11 | 29% | 29 Jul → | ||
| 13–3 | 0.11 | 41% | 29 Jul → | ||
| 13–8 | -0.03 | 16% | 29 Jul → | ||
| 16–14 | -0.06 | 16% | 28 Jul → | ||
| 13–4 | 0.00 | 22% | 28 Jul → | ||
| 10–13 | -0.05 | 18% | 28 Jul → | ||
| 12–12 | -0.06 | 14% | 28 Jul → | ||
| 13–3 | 0.06 | 40% | 28 Jul → | ||
| 10–13 | -0.02 | 20% | 25 Jul → | ||
| 4–13 | -0.04 | 33% | 25 Jul → | ||
| 13–0 | 0.02 | 27% | 25 Jul → | ||
| 4–13 | -0.07 | 11% | 23 Jul → | ||
| 12–16 | -0.02 | 11% | 23 Jul → | ||
| 11–13 | -0.06 | 14% | 22 Jul → | ||
| 13–8 | -0.02 | 0% | 22 Jul → | ||
| 9–13 | -0.04 | 4% | 22 Jul → | ||
| 13–9 | -0.05 | 24% | 22 Jul → | ||
| 13–4 | -0.02 | 7% | 22 Jul → | ||
| 7–13 | -0.07 | 3% | 22 Jul → | ||
| 13–7 | 0.05 | 11% | 22 Jul → | ||
| 13–2 | -0.04 | 11% | 22 Jul → | ||
| 13–5 | -0.06 | 0% | 21 Jul → | ||
| 6–0 | 0.14 | 8% | 21 Jul → | ||
| 13–0 | -0.02 | 25% | 21 Jul → | ||
| 13–5 | -0.07 | 33% | 21 Jul → | ||
| 0–8 | 0.01 | 25% | 21 Jul → | ||
| 2–13 | -0.02 | 15% | 21 Jul → | ||
| 13–8 | 0.04 | 13% | 21 Jul → | ||
| 16–14 | -0.01 | 21% | 20 Jul → | ||
| 13–5 | -0.07 | 5% | 20 Jul → | ||
| 1–13 | -0.06 | 100% | 20 Jul → | ||
| 13–5 | -0.05 | 29% | 20 Jul → | ||
| 16–14 | -0.05 | 15% | 17 Jul → | ||
| 13–6 | -0.04 | 17% | 16 Jul → | ||
| 9–13 | -0.03 | 14% | 16 Jul → | ||
| 15–15 | -0.07 | 14% | 16 Jul → | ||
| 13–8 | -0.06 | 12% | 16 Jul → | ||
| 7–13 | -0.09 | 8% | 16 Jul → | ||
| 8–13 | -0.05 | 7% | 16 Jul → | ||
| 8–13 | -0.08 | 14% | 16 Jul → | ||
| 11–13 | -0.07 | 13% | 15 Jul → | ||
| 13–10 | -0.04 | 12% | 15 Jul → | ||
| 13–10 | -0.00 | 20% | 15 Jul → | ||
| 9–13 | -0.05 | 10% | 15 Jul → | ||
| 12–16 | -0.08 | 14% | 14 Jul → | ||
| 13–11 | -0.00 | 25% | 14 Jul → | ||
| 11–13 | -0.06 | 14% | 14 Jul → | ||
| 11–13 | -0.06 | 6% | 14 Jul → |
Match data via Leetify.