Desertlord — CS2 Stats
76561198370248849[U:1:409983121]✓ 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 | 38.0% | 48.1% | 10.1% short |
| Shot accuracy | 1.0% | 12.9% | 11.9% short |
| Kill/death ratio | 0.95 | 1.08 | 0.13 short |
| Match win rate | 45.7% | 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: +0pp win rate · +0.01 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 70% playstyle similarity
Most alike: opening-duel success, positioning profile.
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 32% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% 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 3.7/10 (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 |
|---|---|---|---|---|---|
| C | 21 | 9–12 | 43% | -0.01 | |
| B | 19 | 10–9 | 53% | -0.03 | |
| D | 15 | 5–10 | 33% | -0.03 | |
| B | 13 | 6–7 | 46% | -0.03 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| A | 9 | 5–4 | 56% | -0.02 | |
| C | 7 | 3–4 | 43% | -0.03 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| office | — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 15). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 13 | 38% | 1.04 | 15.6 |
| Ancient | 12 | 67% | 1.07 | 15.5 |
| Mirage | 10 | 60% | 1.28 | 18.3 |
| Anubis | 8 | 12% | 1.13 | 16.1 |
| Inferno | 6 | 50% | 0.74 | 11.2 |
| Overpass | 4 | 75% | 1.28 | 11.0 |
| Cache | 4 | 50% | 1.24 | 17.3 |
| Nuke | 2 | 50% | 1.12 | 21.5 |
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 0.3594 — 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 15.3261% — 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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.08 | 23% | 28 Aug → | ||
| 13–11 | 0.00 | 15% | 27 Aug → | ||
| 7–13 | -0.07 | 16% | 26 Aug → | ||
| 14–16 | -0.04 | 14% | 26 Aug → | ||
| 9–13 | -0.04 | 22% | 25 Aug → | ||
| 13–11 | -0.02 | 18% | 25 Aug → | ||
| 13–9 | -0.04 | 20% | 25 Aug → | ||
| 16–13 | -0.04 | 7% | 24 Aug → | ||
| 10–13 | -0.03 | 15% | 23 Aug → | ||
| 6–13 | -0.04 | 11% | 23 Aug → | ||
| 15–15 | 0.01 | 15% | 23 Aug → | ||
| 7–13 | -0.07 | 4% | 23 Aug → | ||
| 0–6 | -0.08 | 0% | 23 Aug → | ||
| 2–13 | -0.10 | 13% | 22 Aug → | ||
| 4–13 | 0.00 | 6% | 22 Aug → | ||
| 13–10 | -0.04 | 14% | 21 Aug → | ||
| 13–5 | -0.03 | 22% | 20 Aug → | ||
| 16–13 | -0.03 | 13% | 19 Aug → | ||
| 2–13 | -0.05 | 18% | 19 Aug → | ||
| 13–8 | 0.01 | 21% | 18 Aug → | ||
| 4–13 | -0.06 | 22% | 16 Aug → | ||
| 13–5 | -0.04 | 14% | 16 Aug → | ||
| 11–13 | 0.05 | 18% | 13 Aug → | ||
| 13–11 | 0.02 | 17% | 12 Aug → | ||
| 7–13 | -0.07 | 21% | 11 Aug → | ||
| 8–13 | -0.07 | 10% | 10 Aug → | ||
| 15–15 | -0.02 | 11% | 9 Aug → | ||
| 13–3 | -0.08 | 33% | 9 Aug → | ||
| 4–13 | -0.06 | 3% | 9 Aug → | ||
| 13–8 | -0.02 | 19% | 9 Aug → | ||
| 5–13 | -0.05 | 26% | 9 Aug → | ||
| 7–13 | -0.05 | 14% | 9 Aug → | ||
| 8–13 | 0.02 | 15% | 9 Aug → | ||
| 4–13 | -0.10 | 9% | 8 Aug → | ||
| 10–13 | -0.06 | 19% | 6 Aug → | ||
| 5–13 | -0.04 | 30% | 6 Aug → | ||
| 11–13 | 0.04 | 17% | 4 Aug → | ||
| 13–5 | 0.01 | 7% | 3 Aug → | ||
| 13–8 | -0.05 | 14% | 2 Aug → | ||
| 13–11 | -0.02 | 25% | 2 Aug → | ||
| 13–10 | 0.08 | 20% | 31 Jul → | ||
| 4–13 | -0.07 | 12% | 31 Jul → | ||
| 13–9 | -0.00 | 16% | 31 Jul → | ||
| 13–2 | 0.05 | 26% | 31 Jul → | ||
| 1–13 | -0.06 | 6% | 30 Jul → | ||
| 13–7 | -0.05 | 18% | 30 Jul → | ||
| 13–4 | -0.01 | 29% | 30 Jul → | ||
| 13–5 | -0.03 | 10% | 30 Jul → | ||
| 15–15 | 0.02 | 27% | 29 Jul → | ||
| 13–10 | 0.05 | 16% | 29 Jul → | ||
| 5–13 | -0.11 | 4% | 27 Jul → | ||
| 7–13 | -0.03 | 12% | 27 Jul → | ||
| 13–9 | 0.02 | 36% | 27 Jul → | ||
| 9–13 | -0.00 | 33% | 27 Jul → | ||
| 5–13 | -0.01 | 15% | 27 Jul → | ||
| 8–13 | -0.03 | 22% | 27 Jul → | ||
| 9–13 | -0.04 | 19% | 26 Jul → | ||
| 13–7 | -0.01 | 24% | 26 Jul → | ||
| 13–11 | -0.04 | 15% | 26 Jul → | ||
| 13–1 | -0.07 | 21% | 26 Jul → | ||
| 13–11 | -0.02 | 11% | 25 Jul → | ||
| 16–14 | -0.06 | 16% | 25 Jul → | ||
| 13–6 | 0.00 | 21% | 25 Jul → | ||
| 9–13 | -0.05 | 28% | 25 Jul → | ||
| 11–13 | 0.08 | 21% | 25 Jul → | ||
| 13–10 | -0.04 | 22% | 25 Jul → | ||
| 13–6 | 0.03 | 7% | 24 Jul → | ||
| 15–15 | -0.07 | 22% | 21 Jul → | ||
| 15–15 | -0.01 | 19% | 20 Jul → | ||
| 15–15 | -0.03 | 15% | 19 Jul → | ||
| 5–13 | -0.08 | 24% | 19 Jul → | ||
| 13–8 | 0.02 | 15% | 19 Jul → | ||
| 13–6 | -0.01 | 23% | 19 Jul → | ||
| 13–11 | -0.02 | 19% | 18 Jul → | ||
| 13–16 | -0.03 | 10% | 18 Jul → | ||
| 13–3 | -0.02 | 12% | 18 Jul → | ||
| 6–13 | -0.04 | 21% | 18 Jul → | ||
| 13–6 | -0.02 | 23% | 18 Jul → | ||
| 16–14 | -0.01 | 18% | 15 Jul → | ||
| 16–13 | -0.02 | 15% | 15 Jul → | ||
| 15–15 | -0.02 | 6% | 14 Jul → | ||
| 7–13 | -0.04 | 19% | 14 Jul → | ||
| 4–13 | -0.11 | 10% | 12 Jul → | ||
| 13–7 | -0.07 | 13% | 12 Jul → | ||
| 7–13 | -0.03 | 15% | 12 Jul → | ||
| 10–13 | -0.09 | 5% | 9 Jul → | ||
| 16–12 | -0.03 | 11% | 9 Jul → | ||
| 13–8 | -0.04 | 15% | 9 Jul → | ||
| 13–8 | -0.04 | 9% | 9 Jul → | ||
| 13–10 | 0.02 | 16% | 9 Jul → | ||
| office | 12–12 | 0.01 | 13% | 9 Jul → | |
| office | 13–10 | 0.06 | 16% | 9 Jul → | |
| 7–13 | -0.00 | 21% | 7 Jul → | ||
| 12–12 | -0.01 | 10% | 5 Jul → | ||
| 13–8 | 0.10 | 24% | 5 Jul → | ||
| 13–10 | 0.02 | 15% | 5 Jul → | ||
| 13–11 | 0.03 | 20% | 3 Jul → | ||
| 11–13 | 0.05 | 18% | 2 Jul → | ||
| 11–13 | -0.03 | 19% | 1 Jul → | ||
| 2–13 | -0.03 | 17% | 1 Jul → |
Match data via Leetify.
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