McDo ♡ — CS2 Stats
76561198146222954[U:1:185957226]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 29.5% | 48.1% | 18.6% short |
| Shot accuracy | 5.9% | 12.9% | 7.0% short |
| Kill/death ratio | 1.01 | 1.08 | 0.07 short |
| Match win rate | 47.4% | 46.5% | meets |
This profile matches the typical Pink band player on 1 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: -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 75% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower opening-duel success; 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 42% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 58% 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 3.2/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 21 | 10–11 | 48% | -0.02 | |
| C | 16 | 6–10 | 38% | 0.01 | |
| D | 14 | 3–11 | 21% | -0.01 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| — | 4 | 1–3 | 25% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.588° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4865% — below the 15% mark we flag
- 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 0.4803 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.03 | 11% | 25 Aug → | ||
| 13–16 | -0.02 | 14% | 24 Aug → | ||
| 11–13 | -0.02 | 12% | 24 Aug → | ||
| 15–15 | 0.01 | 11% | 24 Aug → | ||
| 14–16 | 0.00 | 7% | 20 Aug → | ||
| 10–13 | -0.06 | 13% | 20 Aug → | ||
| 13–8 | -0.01 | 22% | 20 Aug → | ||
| 10–13 | 0.03 | 8% | 15 Aug → | ||
| 13–6 | -0.03 | 11% | 15 Aug → | ||
| 5–13 | -0.01 | 21% | 15 Aug → | ||
| 10–13 | -0.02 | 10% | 15 Aug → | ||
| 16–14 | -0.02 | 17% | 15 Aug → | ||
| 13–3 | 0.01 | 10% | 15 Aug → | ||
| 10–13 | -0.03 | 14% | 14 Aug → | ||
| 15–15 | -0.06 | 9% | 14 Aug → | ||
| 4–13 | -0.01 | 9% | 14 Aug → | ||
| 13–10 | -0.01 | 10% | 14 Aug → | ||
| 13–5 | 0.02 | 11% | 13 Aug → | ||
| 7–13 | -0.04 | 33% | 13 Aug → | ||
| 13–1 | 0.03 | 42% | 13 Aug → | ||
| 10–13 | -0.06 | 16% | 12 Aug → | ||
| 9–13 | -0.01 | 24% | 12 Aug → | ||
| 8–13 | -0.02 | 21% | 12 Aug → | ||
| 13–9 | -0.02 | 14% | 11 Aug → | ||
| 9–13 | -0.02 | 16% | 11 Aug → | ||
| 11–12 | 0.01 | 17% | 11 Aug → | ||
| 13–7 | 0.07 | 8% | 10 Aug → | ||
| 10–13 | 0.00 | 18% | 10 Aug → | ||
| 15–15 | -0.01 | 14% | 10 Aug → | ||
| 13–8 | -0.02 | 6% | 7 Aug → | ||
| 12–16 | -0.02 | 17% | 7 Aug → | ||
| 7–13 | -0.03 | 9% | 7 Aug → | ||
| 6–13 | -0.11 | 5% | 2 Aug → | ||
| 7–13 | -0.07 | 14% | 2 Aug → | ||
| 13–8 | -0.02 | 6% | 2 Aug → | ||
| 13–11 | -0.03 | 14% | 2 Aug → | ||
| 13–9 | -0.03 | 11% | 2 Aug → | ||
| 13–9 | -0.02 | 18% | 2 Aug → | ||
| 11–13 | -0.02 | 9% | 28 Jul → | ||
| 16–12 | -0.03 | 5% | 28 Jul → | ||
| 2–13 | -0.03 | 10% | 28 Jul → | ||
| 13–8 | 0.15 | 10% | 28 Jul → | ||
| 13–4 | 0.14 | 12% | 28 Jul → | ||
| 13–7 | -0.08 | 24% | 28 Jul → | ||
| 13–10 | -0.02 | 16% | 27 Jul → | ||
| 2–13 | -0.04 | 8% | 27 Jul → | ||
| 7–13 | -0.06 | 4% | 27 Jul → | ||
| 13–5 | 0.04 | 12% | 23 Jul → | ||
| 13–6 | 0.07 | 19% | 23 Jul → | ||
| 10–13 | -0.04 | 13% | 23 Jul → | ||
| 13–7 | 0.02 | 18% | 23 Jul → | ||
| 14–16 | -0.06 | 25% | 5 Jul → | ||
| 15–15 | -0.02 | 5% | 5 Jul → | ||
| 6–13 | 0.01 | 17% | 5 Jul → | ||
| 8–13 | 0.02 | 14% | 3 Jul → | ||
| 13–5 | 0.08 | 9% | 3 Jul → | ||
| 15–15 | -0.05 | 11% | 21 Jun → | ||
| 13–10 | -0.06 | 8% | 21 Jun → | ||
| 13–7 | -0.03 | 11% | 21 Jun → | ||
| 6–13 | -0.01 | 6% | 21 Jun → | ||
| 13–8 | -0.03 | 10% | 21 Jun → | ||
| 13–8 | 0.05 | 8% | 21 Jun → | ||
| 16–12 | 0.07 | 11% | 21 Jun → | ||
| 8–13 | -0.03 | 15% | 20 Jun → | ||
| 11–13 | -0.03 | 13% | 20 Jun → | ||
| 15–15 | 0.01 | 12% | 20 Jun → | ||
| 16–13 | 0.04 | 16% | 20 Jun → | ||
| 6–13 | -0.06 | 3% | 12 Jun → | ||
| 13–10 | 0.01 | 8% | 12 Jun → | ||
| 13–16 | 0.01 | 11% | 12 Jun → | ||
| 13–8 | 0.10 | 8% | 11 Jun → | ||
| 8–13 | -0.06 | 11% | 11 Jun → | ||
| 3–13 | -0.03 | 9% | 11 Jun → | ||
| 5–13 | -0.01 | 7% | 10 Jun → | ||
| 13–8 | -0.05 | 17% | 10 Jun → | ||
| 13–9 | -0.01 | 8% | 10 Jun → | ||
| 11–13 | 0.04 | 13% | 10 Jun → | ||
| 13–7 | 0.06 | 18% | 10 Jun → | ||
| 13–16 | 0.01 | 10% | 10 Jun → | ||
| 5–13 | -0.02 | 2% | 10 Jun → | ||
| 6–13 | -0.04 | 15% | 9 Jun → | ||
| 9–13 | 0.04 | 18% | 7 Jun → | ||
| 12–16 | -0.07 | 6% | 7 Jun → | ||
| 15–15 | -0.04 | 18% | 7 Jun → | ||
| 4–13 | 0.00 | 12% | 7 Jun → | ||
| 13–1 | -0.04 | 7% | 7 Jun → | ||
| 13–10 | -0.02 | 15% | 6 Jun → | ||
| 13–10 | 0.02 | 11% | 6 Jun → | ||
| 9–13 | -0.01 | 10% | 6 Jun → | ||
| 14–16 | -0.02 | 6% | 6 Jun → | ||
| 13–9 | -0.05 | 9% | 6 Jun → | ||
| 13–5 | 0.06 | 9% | 6 Jun → | ||
| 13–9 | 0.06 | 13% | 6 Jun → | ||
| 15–15 | -0.00 | 7% | 6 Jun → | ||
| 10–13 | 0.02 | 14% | 6 Jun → | ||
| 6–13 | -0.02 | 19% | 6 Jun → | ||
| 11–13 | 0.03 | 20% | 6 Jun → | ||
| 5–13 | -0.03 | 11% | 5 Jun → | ||
| 13–11 | -0.03 | 15% | 5 Jun → | ||
| 10–13 | -0.00 | 6% | 5 Jun → |
Match data via Leetify.