KuKu Pachu — CS2 Stats
PK76561198105667736[U:1:145402008]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 1,650
- Next: Level 9 at 1,751 — 101 to go
- Reached: Level 8 · Level 7 · Level 6 · Level 5
- Level 8 first seen 2026-08-28
- Level 7 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: -20pp 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 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 626ms 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 4.7/10 (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 |
|---|---|---|---|---|---|
| S | 25 | 17–8 | 68% | 0.01 | |
| D | 18 | 5–13 | 28% | -0.01 | |
| C | 17 | 7–10 | 41% | -0.01 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| C | 11 | 4–7 | 36% | 0.00 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| boulder | — | 1 | 0–1 | 0% | -0.00 |
| shelter | — | 1 | 1–0 | 100% | 0.03 |
| — | 1 | 0–1 | 0% | 0.05 | |
| office | — | 1 | 0–1 | 0% | -0.03 |
| italy | — | 1 | 1–0 | 100% | 0.05 |
| warden | — | 1 | 1–0 | 100% | 0.11 |
| alpine | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Ancient 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 81 | 59% | 0.99 | 15.7 |
| Ancient | 76 | 51% | 0.96 | 16.2 |
| Nuke | 51 | 49% | 0.99 | 14.8 |
| Mirage | 45 | 49% | 1.02 | 14.2 |
| Inferno | 17 | 41% | 0.92 | 14.7 |
| Dust2 | 13 | 15% | 0.72 | 12.9 |
| Cache | 11 | 36% | 1.01 | 15.0 |
| Vertigo | 7 | 29% | 0.79 | 12.7 |
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.
- 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 0.4284 — 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 27.8199% — 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.
28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | -0.01 | 13% | 28 Aug → | ||
| 5–13 | -0.01 | 20% | 27 Aug → | ||
| 10–13 | 0.10 | 12% | 25 Aug → | ||
| 7–13 | -0.04 | 11% | 24 Aug → | ||
| 10–13 | -0.08 | 16% | 23 Aug → | ||
| 14–16 | -0.02 | 19% | 20 Aug → | ||
| 13–11 | 0.00 | 16% | 20 Aug → | ||
| 13–11 | 0.00 | 39% | 14 Aug → | ||
| 10–13 | 0.01 | 16% | 12 Aug → | ||
| 5–13 | -0.02 | 9% | 11 Aug → | ||
| 4–9 | 0.06 | 16% | 10 Aug → | ||
| 13–8 | 0.05 | 25% | 30 Jul → | ||
| 13–11 | -0.02 | 14% | 30 Jul → | ||
| 8–8 | 0.02 | 33% | 25 Jul → | ||
| 9–13 | 0.09 | 26% | 24 Jul → | ||
| 13–6 | -0.00 | 24% | 24 Jul → | ||
| 7–13 | 0.00 | 22% | 23 Jul → | ||
| 13–7 | -0.04 | 29% | 20 Jul → | ||
| 13–5 | 0.02 | 19% | 20 Jul → | ||
| 5–13 | -0.02 | 16% | 14 Jul → | ||
| 13–8 | -0.02 | 13% | 14 Jul → | ||
| 9–5 | 0.12 | 25% | 14 Jul → | ||
| 6–9 | -0.04 | 11% | 14 Jul → | ||
| boulder | 11–13 | -0.00 | 14% | 9 Jul → | |
| shelter | 13–11 | 0.03 | 17% | 9 Jul → | |
| 14–16 | -0.01 | 13% | 8 Jul → | ||
| 6–13 | 0.08 | 14% | 8 Jul → | ||
| 5–13 | -0.04 | 16% | 7 Jul → | ||
| 16–13 | 0.06 | 15% | 6 Jul → | ||
| 13–11 | 0.02 | 13% | 6 Jul → | ||
| 8–13 | -0.04 | 17% | 6 Jul → | ||
| 11–13 | -0.05 | 12% | 6 Jul → | ||
| 16–14 | 0.03 | 10% | 6 Jul → | ||
| 4–13 | -0.04 | 14% | 6 Jul → | ||
| 12–12 | 0.01 | 16% | 4 Jul → | ||
| 8–13 | -0.02 | 15% | 3 Jul → | ||
| 13–10 | 0.10 | 17% | 3 Jul → | ||
| 13–8 | 0.02 | 16% | 3 Jul → | ||
| 8–13 | 0.02 | 25% | 2 Jul → | ||
| 13–1 | -0.01 | 11% | 2 Jul → | ||
| 13–11 | -0.00 | 24% | 1 Jul → | ||
| 15–15 | -0.03 | 16% | 1 Jul → | ||
| 6–13 | 0.00 | 34% | 1 Jul → | ||
| 8–13 | -0.04 | 4% | 1 Jul → | ||
| 15–15 | -0.00 | 10% | 1 Jul → | ||
| 13–9 | 0.02 | 25% | 30 Jun → | ||
| 13–11 | -0.05 | 16% | 25 Jun → | ||
| 13–8 | 0.00 | 35% | 25 Jun → | ||
| 13–9 | -0.01 | 12% | 25 Jun → | ||
| 13–7 | -0.04 | 13% | 24 Jun → | ||
| 11–13 | -0.02 | 14% | 24 Jun → | ||
| 11–13 | 0.00 | 14% | 23 Jun → | ||
| 13–5 | 0.06 | 11% | 23 Jun → | ||
| 8–13 | -0.02 | 15% | 23 Jun → | ||
| 13–8 | 0.04 | 17% | 20 Jun → | ||
| 15–15 | -0.01 | 24% | 20 Jun → | ||
| 12–12 | 0.05 | 19% | 18 Jun → | ||
| 13–10 | 0.06 | 29% | 16 Jun → | ||
| 0–13 | -0.05 | 67% | 16 Jun → | ||
| 7–13 | -0.00 | 10% | 14 Jun → | ||
| 8–13 | -0.02 | 26% | 14 Jun → | ||
| 13–3 | 0.11 | 22% | 14 Jun → | ||
| 13–4 | 0.04 | 16% | 13 Jun → | ||
| 11–13 | -0.00 | 22% | 13 Jun → | ||
| 5–13 | -0.03 | 20% | 10 Jun → | ||
| 13–7 | 0.03 | 18% | 9 Jun → | ||
| 5–13 | -0.09 | 29% | 9 Jun → | ||
| 13–9 | -0.03 | 15% | 6 Jun → | ||
| 13–9 | 0.01 | 17% | 6 Jun → | ||
| 13–10 | 0.10 | 28% | 3 Jun → | ||
| 13–7 | -0.00 | 10% | 3 Jun → | ||
| 14–16 | 0.00 | 9% | 29 May → | ||
| 15–15 | 0.02 | 18% | 29 May → | ||
| 13–10 | 0.08 | 14% | 29 May → | ||
| 11–13 | -0.02 | 17% | 25 May → | ||
| 4–13 | -0.07 | 21% | 25 May → | ||
| 13–11 | -0.01 | 17% | 14 May → | ||
| 12–16 | -0.03 | 14% | 14 May → | ||
| 4–13 | -0.08 | 28% | 10 May → | ||
| 8–13 | 0.01 | 19% | 8 May → | ||
| 13–9 | -0.00 | 23% | 4 May → | ||
| 13–8 | 0.01 | 28% | 4 May → | ||
| 13–5 | 0.06 | 16% | 4 May → | ||
| 7–13 | -0.02 | 11% | 21 Apr → | ||
| 9–13 | -0.01 | 24% | 21 Apr → | ||
| 13–6 | -0.02 | 22% | 20 Apr → | ||
| 10–13 | -0.04 | 24% | 18 Apr → | ||
| office | 9–13 | -0.03 | 24% | 2 Apr → | |
| 13–11 | 0.11 | 24% | 2 Apr → | ||
| 2–13 | -0.08 | 26% | 2 Apr → | ||
| 11–13 | 0.04 | 14% | 2 Apr → | ||
| 16–13 | -0.04 | 21% | 1 Apr → | ||
| 13–9 | 0.00 | 13% | 1 Apr → | ||
| 13–9 | -0.01 | 23% | 30 Mar → | ||
| 13–7 | 0.01 | 26% | 30 Mar → | ||
| 13–6 | -0.00 | 20% | 30 Mar → | ||
| 13–6 | 0.00 | 28% | 30 Mar → | ||
| italy | 13–11 | 0.05 | 14% | 29 Mar → | |
| warden | 13–4 | 0.11 | 43% | 29 Mar → | |
| alpine | 13–3 | 0.07 | 20% | 29 Mar → |
Match data via Leetify.