PepperSpeck — CS2 Stats
76561198063208363[U:1:102942635]✓ No bans
Rating over time
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 · -0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 62% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 607ms 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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
 nuke | A | 22 | 12–10 | 55% | 0.01 |
 dust2 | B | 21 | 10–11 | 48% | 0.01 |
 mirage | C | 14 | 6–8 | 43% | -0.01 |
 cache | A | 10 | 6–4 | 60% | 0.01 |
 ancient | S | 9 | 8–1 | 89% | 0.03 |
 anubis | D | 7 | 2–5 | 29% | 0.02 |
 vertigo | C | 7 | 3–4 | 43% | 0.02 |
 inferno | C | 7 | 3–4 | 43% | 0.03 |
 train | — | 2 | 1–1 | 50% | 0.12 |
| office | — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 28% | 0.98 | 15.4 |
| Nuke | 17 | 41% | 1.03 | 15.1 |
| Ancient | 14 | 57% | 0.96 | 16.0 |
| Dust2 | 12 | 50% | 1.30 | 17.0 |
| Inferno | 9 | 44% | 1.11 | 15.1 |
| Cache | 6 | 67% | 1.30 | 16.8 |
| Anubis | 4 | 75% | 1.05 | 14.8 |
| Train | 2 | 50% | 1.22 | 18.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 9–13 | 0.00 | 27% | 25 Aug → | |
| mirage | 5–13 | -0.12 | 15% | 25 Aug → | |
| mirage | 2–13 | -0.05 | 16% | 24 Aug → | |
| dust2 | 13–9 | -0.03 | 14% | 24 Aug → | |
| cache | 13–7 | -0.02 | 36% | 24 Aug → | |
| anubis | 8–13 | 0.03 | 15% | 24 Aug → | |
| mirage | 13–8 | -0.01 | 24% | 24 Aug → | |
| vertigo | 4–13 | 0.04 | 12% | 24 Aug → | |
| nuke | 11–13 | 0.02 | 17% | 24 Aug → | |
| ancient | 16–13 | -0.01 | 24% | 22 Aug → | |
| inferno | 12–12 | 0.05 | 20% | 22 Aug → | |
| anubis | 9–13 | 0.03 | 20% | 22 Aug → | |
| mirage | 3–2 | 0.04 | 27% | 22 Aug → | |
| ancient | 13–10 | -0.03 | 13% | 17 Aug → | |
| cache | 13–2 | 0.04 | 23% | 17 Aug → | |
| dust2 | 13–8 | 0.09 | 18% | 17 Aug → | |
| mirage | 13–7 | 0.06 | 17% | 17 Aug → | |
| vertigo | 13–5 | 0.14 | 10% | 17 Aug → | |
| nuke | 13–11 | -0.02 | 27% | 17 Aug → | |
| dust2 | 7–13 | 0.05 | 11% | 17 Aug → | |
| ancient | 13–7 | 0.07 | 30% | 17 Aug → | |
| nuke | 16–13 | 0.04 | 20% | 17 Aug → | |
| ancient | 13–4 | 0.12 | 28% | 16 Aug → | |
| mirage | 13–5 | 0.01 | 27% | 16 Aug → | |
| anubis | 12–12 | 0.03 | 28% | 16 Aug → | |
| dust2 | 15–15 | -0.06 | 16% | 16 Aug → | |
| dust2 | 13–8 | -0.01 | 13% | 15 Aug → | |
| dust2 | 11–13 | -0.02 | 33% | 15 Aug → | |
| dust2 | 13–3 | 0.10 | 15% | 15 Aug → | |
| cache | 13–9 | 0.01 | 22% | 15 Aug → | |
| nuke | 13–7 | -0.02 | 16% | 15 Aug → | |
| inferno | 9–13 | 0.05 | 34% | 15 Aug → | |
| vertigo | 10–13 | -0.03 | 41% | 15 Aug → | |
| cache | 12–12 | -0.01 | 19% | 15 Aug → | |
| ancient | 10–13 | -0.01 | 23% | 15 Aug → | |
| dust2 | 12–12 | -0.05 | 26% | 15 Aug → | |
| mirage | 13–8 | -0.04 | 33% | 15 Aug → | |
| nuke | 4–2 | 0.01 | 19% | 15 Aug → | |
| dust2 | 13–6 | -0.04 | 26% | 13 Aug → | |
| mirage | 9–13 | -0.06 | 12% | 13 Aug → | |
| mirage | 3–13 | 0.03 | 23% | 13 Aug → | |
| dust2 | 13–5 | 0.00 | 24% | 13 Aug → | |
| inferno | 13–3 | 0.04 | 13% | 13 Aug → | |
| nuke | 6–13 | -0.01 | 21% | 12 Aug → | |
| train | 13–7 | 0.13 | 22% | 12 Aug → | |
| train | 10–13 | 0.11 | 43% | 12 Aug → | |
| dust2 | 5–13 | 0.02 | 33% | 11 Aug → | |
| inferno | 13–8 | 0.14 | 23% | 11 Aug → | |
| nuke | 13–10 | 0.12 | 18% | 11 Aug → | |
| dust2 | 13–2 | 0.06 | 36% | 11 Aug → | |
| dust2 | 13–10 | 0.04 | 25% | 11 Aug → | |
| vertigo | 8–13 | -0.04 | 17% | 11 Aug → | |
| nuke | 12–12 | -0.04 | 13% | 10 Aug → | |
| vertigo | 13–1 | 0.07 | 32% | 10 Aug → | |
| anubis | 8–13 | 0.00 | 25% | 10 Aug → | |
| cache | 5–11 | -0.08 | 15% | 10 Aug → | |
| ancient | 13–11 | 0.05 | 15% | 10 Aug → | |
| mirage | 10–13 | 0.01 | 14% | 10 Aug → | |
| inferno | 5–13 | -0.06 | 28% | 10 Aug → | |
| dust2 | 3–13 | -0.07 | 32% | 10 Aug → | |
| nuke | 13–4 | 0.07 | 21% | 9 Aug → | |
| nuke | 13–8 | 0.09 | 13% | 9 Aug → | |
| nuke | 3–13 | -0.07 | 28% | 9 Aug → | |
| anubis | 13–5 | -0.01 | 14% | 6 Aug → | |
| dust2 | 13–11 | -0.00 | 22% | 6 Aug → | |
| cache | 13–9 | 0.03 | 29% | 6 Aug → | |
| mirage | 13–7 | -0.03 | 17% | 6 Aug → | |
| nuke | 10–13 | -0.09 | 23% | 6 Aug → | |
| office | 13–11 | 0.09 | 22% | 6 Aug → | |
| nuke | 8–13 | -0.04 | 12% | 6 Aug → | |
| nuke | 8–13 | 0.02 | 31% | 6 Aug → | |
| nuke | 13–7 | 0.05 | 31% | 6 Aug → | |
| nuke | 13–1 | 0.02 | 16% | 6 Aug → | |
| nuke | 12–12 | -0.06 | 30% | 6 Aug → | |
| nuke | 12–12 | 0.02 | 15% | 6 Aug → | |
| cache | 13–11 | 0.07 | 10% | 5 Aug → | |
| ancient | 13–11 | 0.03 | 10% | 5 Aug → | |
| mirage | 9–13 | 0.02 | 14% | 4 Aug → | |
| ancient | 13–6 | 0.03 | 16% | 4 Aug → | |
| dust2 | 13–10 | 0.00 | 12% | 4 Aug → | |
| anubis | 5–13 | 0.04 | 15% | 4 Aug → | |
| dust2 | 4–13 | -0.01 | 18% | 4 Aug → | |
| dust2 | 10–13 | -0.00 | 19% | 4 Aug → | |
| dust2 | 12–12 | 0.10 | 24% | 3 Aug → | |
| mirage | 8–13 | -0.07 | 16% | 3 Aug → | |
| nuke | 13–9 | 0.05 | 18% | 3 Aug → | |
| ancient | 13–11 | 0.02 | 20% | 2 Aug → | |
| anubis | 13–7 | 0.00 | 3% | 2 Aug → | |
| inferno | 3–13 | 0.03 | 28% | 2 Aug → | |
| cache | 4–13 | -0.04 | 24% | 1 Aug → | |
| dust2 | 10–13 | -0.04 | 13% | 1 Aug → | |
| mirage | 9–13 | -0.00 | 22% | 31 Jul → | |
| nuke | 13–5 | -0.02 | 13% | 31 Jul → | |
| cache | 7–13 | 0.04 | 13% | 31 Jul → | |
| dust2 | 4–13 | 0.06 | 18% | 30 Jul → | |
| cache | 13–9 | 0.05 | 30% | 30 Jul → | |
| nuke | 13–10 | 0.05 | 16% | 30 Jul → | |
| vertigo | 13–9 | -0.03 | 17% | 30 Jul → | |
| vertigo | 9–13 | -0.02 | 43% | 29 Jul → | |
| inferno | 13–8 | -0.01 | 11% | 28 Jul → |
Match data via Leetify.
