Holy Caliphate of Philadelphia — CS2 Stats
US76561199230868619[U:1:1270602891]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 6,031
- Next: Blue band at 10,000 — 3,969 to go
- Reached: Light Blue band
- Light Blue band first seen 2026-08-31
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 Light Blue band among CSDB-tracked players (n=917), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 37.8% | 39.7% | 41.4% | 3.7% short |
| Shot accuracy | 0.0% | 6.7% | 9.0% | 9.0% short |
| Kill/death ratio | 0.80 | 0.91 | 0.97 | 0.17 short |
| Match win rate | 48.6% | 42.1% | 43.7% | above |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue 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 · -0.02 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 77% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Reaction time. 617ms 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 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 23 | 10–13 | 43% | -0.01 | |
| D | 20 | 6–14 | 30% | 0.00 | |
| A | 15 | 9–6 | 60% | -0.02 | |
| A | 13 | 8–5 | 62% | -0.03 | |
| D | 12 | 4–8 | 33% | -0.03 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| S | 6 | 5–1 | 83% | 0.00 | |
| italy | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (30% over 20). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
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.
- 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 11.4882% — below the 15% 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 29.4078% — 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.
30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | -0.07 | 9% | 30 Aug → | ||
| 11–5 | -0.01 | 26% | 29 Aug → | ||
| 7–13 | -0.03 | 21% | 29 Aug → | ||
| 13–6 | -0.00 | 11% | 29 Aug → | ||
| 13–10 | 0.03 | 14% | 29 Aug → | ||
| 13–10 | -0.06 | 13% | 29 Aug → | ||
| 8–13 | 0.01 | 13% | 29 Aug → | ||
| 10–13 | -0.11 | 8% | 28 Aug → | ||
| italy | 11–13 | -0.07 | 6% | 27 Aug → | |
| 13–11 | 0.01 | 11% | 27 Aug → | ||
| 10–13 | -0.05 | 7% | 26 Aug → | ||
| 6–13 | -0.07 | 13% | 26 Aug → | ||
| 13–16 | 0.07 | 11% | 26 Aug → | ||
| 13–8 | 0.02 | 19% | 25 Aug → | ||
| 11–13 | -0.04 | 10% | 25 Aug → | ||
| 0–13 | -0.03 | 9% | 25 Aug → | ||
| 13–0 | 0.04 | 27% | 25 Aug → | ||
| 10–13 | -0.02 | 17% | 25 Aug → | ||
| 7–13 | -0.03 | 16% | 25 Aug → | ||
| 14–16 | 0.01 | 9% | 24 Aug → | ||
| 13–8 | 0.01 | 10% | 24 Aug → | ||
| 13–6 | -0.04 | 4% | 24 Aug → | ||
| 13–9 | 0.12 | 11% | 24 Aug → | ||
| 2–13 | -0.14 | 7% | 24 Aug → | ||
| 5–13 | -0.01 | 12% | 20 Aug → | ||
| 7–13 | -0.04 | 9% | 20 Aug → | ||
| 8–13 | -0.06 | 9% | 19 Aug → | ||
| 13–9 | 0.05 | 4% | 19 Aug → | ||
| 6–13 | -0.06 | 8% | 19 Aug → | ||
| 11–13 | 0.04 | 11% | 19 Aug → | ||
| 13–4 | -0.00 | 9% | 18 Aug → | ||
| 8–13 | -0.02 | 16% | 18 Aug → | ||
| 10–13 | -0.06 | 17% | 17 Aug → | ||
| 13–8 | -0.02 | 13% | 17 Aug → | ||
| 14–16 | 0.04 | 14% | 17 Aug → | ||
| 13–6 | 0.04 | 8% | 17 Aug → | ||
| 13–9 | 0.01 | 20% | 17 Aug → | ||
| 9–13 | 0.00 | 16% | 17 Aug → | ||
| 13–11 | -0.01 | 15% | 17 Aug → | ||
| 5–13 | -0.05 | 27% | 17 Aug → | ||
| 9–13 | -0.02 | 14% | 17 Aug → | ||
| 9–3 | -0.03 | 10% | 17 Aug → | ||
| 13–3 | 0.01 | 17% | 16 Aug → | ||
| 5–13 | -0.05 | 3% | 13 Aug → | ||
| 4–13 | -0.05 | 9% | 13 Aug → | ||
| 13–3 | 0.00 | 20% | 13 Aug → | ||
| 13–7 | 0.07 | 13% | 13 Aug → | ||
| 8–13 | 0.02 | 7% | 13 Aug → | ||
| 13–11 | 0.00 | 7% | 13 Aug → | ||
| 13–6 | 0.10 | 11% | 13 Aug → | ||
| 13–8 | -0.01 | 21% | 13 Aug → | ||
| 16–14 | -0.04 | 11% | 13 Aug → | ||
| 13–9 | -0.01 | 5% | 13 Aug → | ||
| 13–10 | -0.01 | 15% | 13 Aug → | ||
| 13–10 | -0.08 | 6% | 13 Aug → | ||
| 7–13 | -0.01 | 14% | 13 Aug → | ||
| 8–13 | -0.03 | 14% | 13 Aug → | ||
| 9–13 | -0.05 | 11% | 13 Aug → | ||
| 15–15 | -0.06 | 10% | 13 Aug → | ||
| 13–0 | 0.05 | 0% | 13 Aug → | ||
| 5–13 | -0.03 | 18% | 12 Aug → | ||
| 13–8 | 0.00 | 12% | 12 Aug → | ||
| 15–15 | -0.00 | 8% | 12 Aug → | ||
| 13–10 | 0.01 | 13% | 12 Aug → | ||
| 13–9 | -0.04 | 13% | 12 Aug → | ||
| 10–13 | 0.00 | 15% | 11 Aug → | ||
| 10–13 | -0.02 | 15% | 10 Aug → | ||
| 7–13 | -0.02 | 3% | 10 Aug → | ||
| 16–13 | -0.04 | 6% | 10 Aug → | ||
| 6–13 | -0.04 | 10% | 10 Aug → | ||
| 13–9 | -0.04 | 5% | 10 Aug → | ||
| 13–7 | 0.03 | 10% | 10 Aug → | ||
| 8–13 | -0.02 | 6% | 10 Aug → | ||
| 13–10 | -0.03 | 20% | 10 Aug → | ||
| 15–15 | 0.00 | 4% | 9 Aug → | ||
| 9–13 | -0.05 | 15% | 8 Aug → | ||
| 13–11 | -0.06 | 3% | 8 Aug → | ||
| 15–15 | -0.05 | 17% | 6 Aug → | ||
| 13–5 | -0.01 | 7% | 6 Aug → | ||
| 11–13 | 0.01 | 17% | 6 Aug → | ||
| 13–8 | -0.03 | 15% | 6 Aug → | ||
| 10–13 | 0.00 | 9% | 6 Aug → | ||
| 11–13 | 0.00 | 16% | 6 Aug → | ||
| 13–11 | 0.09 | 16% | 6 Aug → | ||
| 4–9 | 0.05 | 15% | 6 Aug → | ||
| 13–11 | 0.01 | 13% | 6 Aug → | ||
| 13–11 | 0.03 | 18% | 6 Aug → | ||
| 13–10 | -0.05 | 17% | 6 Aug → | ||
| 13–7 | -0.01 | 14% | 6 Aug → | ||
| 13–11 | -0.02 | 11% | 6 Aug → | ||
| 13–2 | 0.02 | 6% | 6 Aug → | ||
| 16–13 | 0.02 | 8% | 5 Aug → | ||
| 4–13 | -0.04 | 13% | 5 Aug → | ||
| 10–13 | -0.01 | 5% | 5 Aug → | ||
| 2–7 | 0.06 | 16% | 5 Aug → | ||
| 13–7 | 0.00 | 15% | 5 Aug → | ||
| 5–13 | -0.05 | 19% | 5 Aug → | ||
| 10–13 | -0.05 | 6% | 3 Aug → | ||
| 13–8 | 0.02 | 8% | 3 Aug → | ||
| 15–15 | 0.01 | 4% | 3 Aug → |
Match data via Leetify.