Puppilovr — CS2 Stats
76561198778885460[U:1:818619732]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong CT-side openerLimited utility dependence
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 ropz 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower aim profile; lower 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
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 60% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 655ms 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 5.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 23 | 5–18 | 22% | 0.00 | |
| A | 14 | 8–6 | 57% | -0.00 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| D | 11 | 3–8 | 27% | -0.01 | |
| D | 11 | 2–9 | 18% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.00 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.00 | |
| office | — | 2 | 1–1 | 50% | -0.07 |
| — | 1 | 1–0 | 100% | 0.07 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| boulder | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (18% over 11). 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.
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 0.4395 — 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 30.5534% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.00 | 14% | 28 Aug → | ||
| 11–13 | 0.07 | 27% | 28 Aug → | ||
| 4–13 | -0.08 | 28% | 27 Aug → | ||
| 7–13 | -0.08 | 21% | 27 Aug → | ||
| 11–13 | -0.08 | 23% | 27 Aug → | ||
| 7–13 | -0.03 | 28% | 26 Aug → | ||
| 7–13 | -0.02 | 22% | 25 Aug → | ||
| 3–13 | 0.09 | 16% | 25 Aug → | ||
| 7–13 | -0.03 | 18% | 25 Aug → | ||
| 9–13 | -0.03 | 19% | 24 Aug → | ||
| 10–13 | 0.02 | 18% | 24 Aug → | ||
| 6–13 | 0.04 | 21% | 23 Aug → | ||
| 13–3 | 0.11 | 23% | 23 Aug → | ||
| 13–5 | 0.06 | 12% | 23 Aug → | ||
| 5–13 | -0.09 | 21% | 23 Aug → | ||
| 10–13 | -0.03 | 19% | 23 Aug → | ||
| 13–7 | 0.09 | 25% | 20 Aug → | ||
| 8–13 | -0.03 | 6% | 20 Aug → | ||
| 6–13 | -0.01 | 28% | 19 Aug → | ||
| 10–13 | -0.06 | 9% | 19 Aug → | ||
| 12–12 | -0.05 | 29% | 19 Aug → | ||
| 12–12 | 0.02 | 18% | 19 Aug → | ||
| 13–9 | 0.07 | 19% | 18 Aug → | ||
| 13–6 | 0.05 | 21% | 18 Aug → | ||
| 13–5 | 0.02 | 31% | 18 Aug → | ||
| 15–15 | -0.03 | 20% | 16 Aug → | ||
| 13–9 | 0.01 | 22% | 16 Aug → | ||
| 7–13 | 0.03 | 22% | 16 Aug → | ||
| 5–13 | -0.07 | 23% | 16 Aug → | ||
| 13–6 | 0.00 | 27% | 16 Aug → | ||
| 10–13 | 0.02 | 30% | 15 Aug → | ||
| 12–12 | 0.10 | 24% | 15 Aug → | ||
| 13–7 | 0.02 | 28% | 13 Aug → | ||
| 13–9 | 0.08 | 29% | 13 Aug → | ||
| 13–9 | 0.07 | 40% | 13 Aug → | ||
| 8–13 | -0.06 | 23% | 13 Aug → | ||
| 10–13 | 0.02 | 26% | 13 Aug → | ||
| 10–13 | -0.03 | 23% | 13 Aug → | ||
| 13–6 | 0.09 | 28% | 13 Aug → | ||
| 4–13 | -0.11 | 22% | 13 Aug → | ||
| 6–13 | -0.00 | 19% | 12 Aug → | ||
| 5–13 | -0.06 | 25% | 12 Aug → | ||
| 13–10 | 0.03 | 42% | 12 Aug → | ||
| 11–13 | -0.03 | 28% | 12 Aug → | ||
| 13–10 | 0.02 | 16% | 12 Aug → | ||
| 5–13 | -0.06 | 18% | 11 Aug → | ||
| 3–13 | -0.08 | 0% | 11 Aug → | ||
| 13–5 | 0.02 | 15% | 10 Aug → | ||
| 9–4 | -0.08 | 9% | 10 Aug → | ||
| 6–13 | -0.06 | 18% | 10 Aug → | ||
| 13–11 | -0.08 | 21% | 10 Aug → | ||
| 13–7 | 0.06 | 23% | 9 Aug → | ||
| 12–1 | 0.08 | 30% | 9 Aug → | ||
| 12–12 | -0.05 | 19% | 9 Aug → | ||
| 13–9 | 0.01 | 23% | 9 Aug → | ||
| 8–13 | 0.07 | 23% | 9 Aug → | ||
| 13–6 | -0.04 | 6% | 9 Aug → | ||
| 13–9 | 0.03 | 19% | 8 Aug → | ||
| 0–13 | -0.06 | 16% | 8 Aug → | ||
| 13–2 | -0.01 | 18% | 8 Aug → | ||
| 12–12 | -0.05 | 67% | 8 Aug → | ||
| 3–13 | 0.03 | 23% | 8 Aug → | ||
| 13–16 | -0.02 | 33% | 7 Aug → | ||
| 13–6 | 0.02 | 19% | 7 Aug → | ||
| office | 12–12 | -0.02 | 38% | 7 Aug → | |
| 1–13 | -0.05 | 22% | 6 Aug → | ||
| 13–4 | 0.02 | 29% | 6 Aug → | ||
| 7–13 | 0.01 | 12% | 6 Aug → | ||
| 10–13 | 0.02 | 24% | 6 Aug → | ||
| boulder | 4–13 | -0.04 | 5% | 6 Aug → | |
| 1–13 | -0.04 | 29% | 6 Aug → | ||
| 13–10 | -0.00 | 19% | 5 Aug → | ||
| 11–13 | 0.02 | 21% | 5 Aug → | ||
| 13–5 | 0.06 | 31% | 5 Aug → | ||
| 13–11 | 0.03 | 27% | 4 Aug → | ||
| 13–10 | -0.00 | 19% | 4 Aug → | ||
| 12–2 | -0.01 | 11% | 4 Aug → | ||
| 11–13 | 0.01 | 22% | 2 Aug → | ||
| 7–13 | 0.07 | 22% | 2 Aug → | ||
| 4–13 | 0.08 | 48% | 1 Aug → | ||
| 13–5 | 0.01 | 34% | 1 Aug → | ||
| 12–12 | -0.04 | 41% | 31 Jul → | ||
| 13–9 | 0.07 | 11% | 31 Jul → | ||
| 12–12 | 0.00 | 14% | 31 Jul → | ||
| 13–2 | -0.05 | 13% | 30 Jul → | ||
| 8–13 | -0.06 | 10% | 30 Jul → | ||
| 7–13 | -0.03 | 23% | 30 Jul → | ||
| 12–12 | -0.01 | 22% | 30 Jul → | ||
| 13–10 | 0.05 | 29% | 30 Jul → | ||
| 7–9 | 0.04 | 29% | 30 Jul → | ||
| 2–13 | 0.01 | 37% | 30 Jul → | ||
| 10–13 | 0.01 | 20% | 30 Jul → | ||
| 12–12 | -0.04 | 21% | 30 Jul → | ||
| 13–9 | 0.10 | 25% | 30 Jul → | ||
| 13–7 | -0.04 | 30% | 29 Jul → | ||
| 11–13 | -0.07 | 13% | 29 Jul → | ||
| office | 13–6 | -0.12 | 20% | 29 Jul → | |
| 10–13 | -0.11 | 13% | 29 Jul → | ||
| 12–12 | -0.02 | 22% | 29 Jul → | ||
| 5–13 | 0.07 | 25% | 24 Jul → |
Match data via Leetify.