Father Christmas — CS2 Stats
76561199224098822[U:1:1263833094]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,412
- Next: Level 8 at 1,531 — 119 to go
- Reached: Level 7 · Level 6 · Level 5 · Level 4
- Level 7 first seen 2026-08-31
- Level 6 first seen 2026-08-31
Premier CS Rating
- At peak — 14,762
- Next: Purple band at 15,000 — 238 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-31
- 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 Level 6 among CSDB-tracked players (n=1,571), 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 | Level 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 62.5% | 44.7% | 46.1% | above |
| Shot accuracy | 6.2% | 11.9% | 12.6% | 6.4% short |
| Kill/death ratio | 1.93 | 1.04 | 1.05 | above |
| Match win rate | 40.3% | 45.2% | 45.7% | 5.4% short |
This profile matches the typical Level 7 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 7 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 · -0.03 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 ZywOo 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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. 596ms 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 6.8/10 (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 |
|---|---|---|---|---|---|
| A | 27 | 16–11 | 59% | 0.02 | |
| B | 20 | 10–10 | 50% | 0.00 | |
| D | 15 | 5–10 | 33% | 0.03 | |
| D | 12 | 4–8 | 33% | -0.00 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.07 | |
| C | 5 | 2–3 | 40% | 0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 153 | 53% | 1.14 | 16.7 |
| Mirage | 108 | 56% | 1.01 | 15.7 |
| Ancient | 71 | 51% | 1.09 | 15.8 |
| Nuke | 54 | 43% | 1.00 | 15.3 |
| Anubis | 28 | 50% | 0.98 | 16.1 |
| Cache | 19 | 47% | 0.97 | 14.6 |
| Inferno | 13 | 23% | 0.96 | 14.8 |
| Train | 7 | 57% | 1.05 | 15.1 |
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
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 | |
|---|---|---|---|---|---|
| 6–13 | 0.01 | 30% | 30 Aug → | ||
| 13–6 | 0.06 | 18% | 30 Aug → | ||
| 13–9 | -0.00 | 17% | 30 Aug → | ||
| 7–13 | -0.06 | 21% | 30 Aug → | ||
| 10–13 | 0.16 | 27% | 30 Aug → | ||
| 8–13 | -0.01 | 31% | 30 Aug → | ||
| 11–13 | 0.04 | 35% | 29 Aug → | ||
| 12–16 | 0.04 | 19% | 29 Aug → | ||
| 16–12 | -0.04 | 29% | 29 Aug → | ||
| 13–10 | 0.04 | 21% | 28 Aug → | ||
| 13–4 | 0.07 | 22% | 28 Aug → | ||
| 13–10 | 0.11 | 18% | 28 Aug → | ||
| 10–13 | 0.02 | 26% | 28 Aug → | ||
| 13–9 | 0.02 | 20% | 28 Aug → | ||
| 13–6 | 0.09 | 29% | 28 Aug → | ||
| 13–8 | 0.08 | 25% | 27 Aug → | ||
| 13–10 | 0.02 | 20% | 27 Aug → | ||
| 5–13 | 0.01 | 31% | 26 Aug → | ||
| 9–13 | 0.01 | 12% | 26 Aug → | ||
| 13–2 | 0.09 | 19% | 25 Aug → | ||
| 13–6 | 0.08 | 20% | 25 Aug → | ||
| 16–14 | 0.05 | 26% | 23 Aug → | ||
| 13–7 | 0.10 | 31% | 23 Aug → | ||
| 13–11 | 0.03 | 9% | 23 Aug → | ||
| 11–13 | 0.01 | 15% | 23 Aug → | ||
| 11–13 | 0.06 | 26% | 23 Aug → | ||
| 13–10 | 0.11 | 19% | 22 Aug → | ||
| 4–13 | 0.00 | 18% | 22 Aug → | ||
| 13–8 | 0.03 | 27% | 22 Aug → | ||
| 13–1 | 0.22 | 20% | 22 Aug → | ||
| 9–13 | -0.02 | 17% | 22 Aug → | ||
| 11–13 | -0.01 | 17% | 22 Aug → | ||
| 13–10 | 0.00 | 20% | 22 Aug → | ||
| 10–13 | -0.08 | 17% | 22 Aug → | ||
| 7–13 | -0.03 | 27% | 22 Aug → | ||
| 11–13 | 0.06 | 21% | 22 Aug → | ||
| 13–5 | 0.01 | 12% | 21 Aug → | ||
| 13–9 | 0.08 | 32% | 21 Aug → | ||
| 7–13 | -0.02 | 16% | 21 Aug → | ||
| 3–13 | -0.05 | 9% | 21 Aug → | ||
| 6–13 | 0.16 | 42% | 20 Aug → | ||
| 13–3 | -0.01 | 19% | 20 Aug → | ||
| 7–13 | 0.05 | 31% | 20 Aug → | ||
| 7–13 | 0.01 | 9% | 20 Aug → | ||
| 9–13 | -0.01 | 31% | 20 Aug → | ||
| 13–5 | 0.11 | 23% | 20 Aug → | ||
| 13–7 | 0.08 | 20% | 16 Aug → | ||
| 13–5 | 0.08 | 24% | 16 Aug → | ||
| 9–13 | -0.00 | 21% | 16 Aug → | ||
| 13–8 | 0.07 | 34% | 15 Aug → | ||
| 7–13 | 0.02 | 10% | 15 Aug → | ||
| 13–5 | -0.04 | 38% | 15 Aug → | ||
| 13–10 | 0.00 | 27% | 15 Aug → | ||
| 2–9 | -0.01 | 0% | 11 Aug → | ||
| 4–13 | -0.05 | 17% | 11 Aug → | ||
| 11–13 | -0.03 | 15% | 11 Aug → | ||
| 8–13 | 0.07 | 29% | 9 Aug → | ||
| 10–13 | -0.04 | 14% | 9 Aug → | ||
| 9–13 | -0.00 | 16% | 8 Aug → | ||
| 13–8 | -0.05 | 35% | 8 Aug → | ||
| 15–15 | -0.02 | 21% | 8 Aug → | ||
| 13–11 | -0.03 | 20% | 7 Aug → | ||
| 16–14 | -0.02 | 33% | 7 Aug → | ||
| 13–1 | 0.07 | 24% | 6 Aug → | ||
| 19–17 | 0.01 | 14% | 2 Aug → | ||
| 12–16 | -0.06 | 17% | 2 Aug → | ||
| 12–16 | 0.07 | 32% | 1 Aug → | ||
| 16–13 | 0.02 | 29% | 1 Aug → | ||
| 13–8 | 0.01 | 14% | 1 Aug → | ||
| 13–4 | 0.10 | 35% | 1 Aug → | ||
| 10–13 | 0.00 | 28% | 1 Aug → | ||
| 5–13 | -0.03 | 32% | 1 Aug → | ||
| 7–13 | -0.02 | 27% | 1 Aug → | ||
| 13–11 | 0.02 | 28% | 1 Aug → | ||
| 10–13 | 0.04 | 22% | 1 Aug → | ||
| 9–13 | -0.02 | 27% | 1 Aug → | ||
| 15–15 | 0.01 | 18% | 31 Jul → | ||
| 13–3 | 0.05 | 27% | 31 Jul → | ||
| 5–13 | 0.04 | 32% | 31 Jul → | ||
| 4–13 | 0.01 | 13% | 31 Jul → | ||
| 8–13 | -0.07 | 26% | 30 Jul → | ||
| 4–0 | 0.07 | 50% | 30 Jul → | ||
| 5–13 | -0.02 | 24% | 30 Jul → | ||
| 13–1 | 0.08 | 32% | 30 Jul → | ||
| 6–13 | -0.00 | 23% | 29 Jul → | ||
| 13–9 | -0.03 | 26% | 29 Jul → | ||
| 13–10 | -0.02 | 35% | 29 Jul → | ||
| 16–14 | -0.02 | 26% | 28 Jul → | ||
| 13–5 | 0.04 | 31% | 28 Jul → | ||
| 13–10 | 0.01 | 8% | 26 Jul → | ||
| 13–11 | 0.08 | 21% | 26 Jul → | ||
| 9–13 | 0.06 | 20% | 25 Jul → | ||
| 13–9 | 0.03 | 30% | 25 Jul → | ||
| 4–13 | -0.00 | 29% | 22 Jul → | ||
| 13–11 | 0.06 | 22% | 22 Jul → | ||
| 9–13 | 0.02 | 19% | 21 Jul → | ||
| 9–13 | -0.01 | 24% | 21 Jul → | ||
| 5–13 | -0.05 | 23% | 21 Jul → | ||
| 5–13 | 0.03 | 23% | 19 Jul → | ||
| 8–13 | -0.04 | 16% | 19 Jul → |
Match data via Leetify.