Merc — CS2 Stats
76561199175903740[U:1:1215638012]
Rating over time
Premier CS Rating
- At peak — 18,805
- Next: Pink band at 20,000 — 1,195 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- 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.
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 34.9% | 44.1% | 47.2% | 12.3% short |
| Shot accuracy | 0.5% | 11.4% | 12.7% | 12.3% short |
| Kill/death ratio | 1.19 | 1.03 | 1.09 | above |
| Match win rate | 52.0% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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. 550ms 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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 18 | 3–15 | 17% | -0.01 | |
| A | 15 | 9–6 | 60% | 0.04 | |
| A | 14 | 8–6 | 57% | 0.02 | |
| C | 12 | 5–7 | 42% | 0.06 | |
| B | 11 | 5–6 | 45% | 0.08 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.01 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| — | 2 | 0–2 | 0% | 0.04 | |
| office | — | 2 | 1–1 | 50% | -0.01 |
| debris | — | 1 | 0–1 | 0% | -0.14 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (17% over 18). 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.
- 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 37.427% — 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.
17% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.05 | 6% | 29 Aug → | ||
| 2–13 | 0.00 | 18% | 29 Aug → | ||
| 3–13 | -0.07 | 13% | 29 Aug → | ||
| 13–6 | 0.03 | 12% | 29 Aug → | ||
| 10–13 | 0.03 | 8% | 29 Aug → | ||
| 3–13 | 0.02 | 13% | 28 Aug → | ||
| 11–13 | 0.06 | 18% | 28 Aug → | ||
| 13–8 | 0.02 | 17% | 28 Aug → | ||
| 2–13 | -0.06 | 18% | 27 Aug → | ||
| 10–13 | -0.05 | 21% | 27 Aug → | ||
| 7–13 | -0.02 | 14% | 27 Aug → | ||
| 13–11 | -0.01 | 19% | 27 Aug → | ||
| 13–11 | 0.06 | 11% | 27 Aug → | ||
| 13–3 | 0.07 | 10% | 26 Aug → | ||
| 5–13 | 0.03 | 21% | 26 Aug → | ||
| 7–13 | -0.07 | 13% | 26 Aug → | ||
| 13–6 | 0.04 | 5% | 26 Aug → | ||
| 13–6 | 0.01 | 8% | 26 Aug → | ||
| 13–3 | 0.10 | 13% | 25 Aug → | ||
| 13–4 | 0.03 | 19% | 25 Aug → | ||
| 12–12 | 0.01 | 21% | 25 Aug → | ||
| 7–9 | 0.06 | 14% | 22 Aug → | ||
| 8–8 | 0.10 | 33% | 22 Aug → | ||
| 7–13 | 0.01 | 18% | 22 Aug → | ||
| 12–12 | -0.06 | 15% | 22 Aug → | ||
| 13–4 | 0.01 | 23% | 22 Aug → | ||
| 13–5 | 0.02 | 22% | 22 Aug → | ||
| 13–8 | 0.02 | 27% | 20 Aug → | ||
| 13–0 | 0.04 | 17% | 20 Aug → | ||
| 8–13 | 0.07 | 25% | 20 Aug → | ||
| 12–12 | 0.06 | 13% | 20 Aug → | ||
| 13–9 | 0.15 | 16% | 20 Aug → | ||
| 3–13 | -0.00 | 5% | 19 Aug → | ||
| 13–10 | -0.04 | 23% | 19 Aug → | ||
| 7–13 | 0.15 | 13% | 19 Aug → | ||
| 13–10 | 0.02 | 12% | 19 Aug → | ||
| 13–8 | -0.01 | 12% | 19 Aug → | ||
| 7–13 | 0.00 | 14% | 19 Aug → | ||
| 13–7 | -0.02 | 17% | 18 Aug → | ||
| 16–13 | 0.01 | 18% | 18 Aug → | ||
| 9–2 | 0.14 | 18% | 18 Aug → | ||
| 13–7 | 0.03 | 18% | 18 Aug → | ||
| 8–13 | 0.09 | 14% | 18 Aug → | ||
| 10–13 | 0.07 | 11% | 18 Aug → | ||
| 12–12 | -0.02 | 17% | 16 Aug → | ||
| 13–1 | 0.10 | 25% | 16 Aug → | ||
| 9–13 | -0.03 | 23% | 16 Aug → | ||
| office | 5–12 | 0.05 | 26% | 16 Aug → | |
| 9–13 | -0.00 | 11% | 16 Aug → | ||
| 5–13 | 0.03 | 11% | 16 Aug → | ||
| 13–3 | 0.05 | 21% | 16 Aug → | ||
| 13–4 | 0.03 | 15% | 16 Aug → | ||
| 9–13 | 0.06 | 12% | 16 Aug → | ||
| 13–11 | 0.06 | 13% | 15 Aug → | ||
| 16–14 | 0.01 | 24% | 15 Aug → | ||
| 13–8 | 0.09 | 9% | 15 Aug → | ||
| 12–12 | -0.01 | 14% | 15 Aug → | ||
| 8–13 | -0.02 | 18% | 15 Aug → | ||
| 10–13 | 0.12 | 18% | 15 Aug → | ||
| 13–10 | 0.05 | 12% | 15 Aug → | ||
| 13–6 | 0.09 | 9% | 15 Aug → | ||
| 13–3 | 0.03 | 18% | 15 Aug → | ||
| 12–12 | 0.08 | 15% | 15 Aug → | ||
| 13–8 | 0.01 | 15% | 15 Aug → | ||
| 9–13 | -0.03 | 15% | 15 Aug → | ||
| 12–12 | -0.02 | 16% | 15 Aug → | ||
| debris | 3–9 | -0.14 | 25% | 15 Aug → | |
| 13–11 | 0.00 | 26% | 13 Aug → | ||
| 12–12 | 0.04 | 9% | 13 Aug → | ||
| 4–13 | -0.03 | 11% | 13 Aug → | ||
| 4–13 | 0.13 | 19% | 12 Aug → | ||
| 12–12 | 0.02 | 27% | 12 Aug → | ||
| 9–3 | 0.06 | 4% | 12 Aug → | ||
| 7–13 | 0.01 | 19% | 12 Aug → | ||
| 7–1 | 0.08 | 15% | 12 Aug → | ||
| 11–13 | 0.11 | 22% | 12 Aug → | ||
| 9–6 | 0.12 | 14% | 11 Aug → | ||
| 13–8 | 0.05 | 22% | 11 Aug → | ||
| 12–12 | -0.04 | 6% | 11 Aug → | ||
| 3–13 | 0.01 | 15% | 11 Aug → | ||
| 6–13 | -0.10 | 12% | 8 Aug → | ||
| 5–13 | 0.08 | 14% | 8 Aug → | ||
| 8–13 | -0.05 | 18% | 8 Aug → | ||
| 5–13 | -0.04 | 30% | 8 Aug → | ||
| office | 13–9 | -0.06 | 27% | 8 Aug → | |
| 8–13 | 0.10 | 19% | 8 Aug → | ||
| 13–11 | 0.02 | 9% | 8 Aug → | ||
| 0–8 | -0.02 | 9% | 7 Aug → | ||
| 5–13 | -0.06 | 9% | 7 Aug → | ||
| 9–13 | -0.02 | 23% | 7 Aug → | ||
| 8–8 | 0.15 | 20% | 7 Aug → | ||
| 13–6 | -0.04 | 11% | 6 Aug → | ||
| 13–10 | 0.09 | 8% | 6 Aug → | ||
| 13–7 | 0.03 | 16% | 6 Aug → | ||
| 7–13 | -0.02 | 17% | 6 Aug → | ||
| 13–4 | -0.04 | 11% | 6 Aug → | ||
| 13–6 | 0.18 | 9% | 5 Aug → | ||
| 7–13 | 0.05 | 19% | 5 Aug → | ||
| 13–9 | 0.02 | 12% | 5 Aug → | ||
| 12–12 | 0.02 | 23% | 5 Aug → |
Match data via Leetify.