Paladin — CS2 Stats
US76561198078480386[U:1:118214658]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 42.2% | 44.0% | 44.7% | 2.5% short |
| Shot accuracy | 11.3% | 11.6% | 11.9% | 0.7% short |
| Kill/death ratio | 1.20 | 1.03 | 1.04 | above |
| Match win rate | 57.2% | 45.1% | 45.2% | above |
This profile matches the typical Level 6 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashesHigh utility contribution
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 Twistzz 89% playstyle similarity
Most alike: opening-duel success, 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
Strengths
Flashes. 0.80 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 81 — grenade impact well above the norm.
Areas to improve
Reaction time. 609ms 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
 cache | B | 22 | 11–11 | 50% | 0.02 |
 dust2 | D | 15 | 5–10 | 33% | -0.00 |
 inferno | B | 14 | 7–7 | 50% | 0.01 |
 anubis | D | 10 | 2–8 | 20% | 0.00 |
 nuke | C | 8 | 3–5 | 38% | -0.01 |
 ancient | D | 6 | 2–4 | 33% | -0.02 |
 mirage | D | 6 | 1–5 | 17% | -0.04 |
| office | D | 5 | 1–4 | 20% | -0.02 |
 overpass | S | 5 | 4–1 | 80% | -0.01 |
 train | — | 4 | 2–2 | 50% | -0.00 |
 vertigo | — | 3 | 2–1 | 67% | -0.01 |
| alpine | — | 1 | 0–1 | 0% | 0.04 |
| italy | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (17% over 6). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 8 | 38% | 1.67 | 16.1 |
| Mirage | 5 | 40% | 0.97 | 15.6 |
| Ancient | 4 | 50% | 1.71 | 14.3 |
| Overpass | 3 | 33% | 0.93 | 17.0 |
| Vertigo | 2 | 100% | 1.82 | 21.0 |
| Inferno | 2 | 50% | 0.90 | 17.0 |
| Nuke | 1 | 0% | 0.73 | 11.0 |
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.
- 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 33.9819% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 10–13 | 0.04 | 15% | 27 Aug → | |
| nuke | 5–13 | 0.03 | 16% | 23 Aug → | |
| ancient | 9–13 | 0.09 | 21% | 4 Aug → | |
| cache | 5–13 | -0.05 | 23% | 4 Aug → | |
| cache | 13–8 | 0.04 | 24% | 12 Jul → | |
| cache | 13–7 | -0.05 | 32% | 5 Jul → | |
| train | 9–13 | -0.05 | 23% | 22 Jun → | |
| train | 13–7 | -0.03 | 12% | 22 Jun → | |
| dust2 | 13–9 | -0.02 | 32% | 20 Jun → | |
| train | 0–5 | 0.00 | 40% | 20 Jun → | |
| inferno | 13–6 | -0.00 | 18% | 27 May → | |
| anubis | 13–10 | 0.03 | 28% | 27 May → | |
| anubis | 11–13 | -0.01 | 15% | 27 May → | |
| anubis | 12–12 | 0.02 | 16% | 27 May → | |
| cache | 13–11 | -0.06 | 18% | 23 May → | |
| dust2 | 8–13 | 0.03 | 17% | 23 May → | |
| office | 5–13 | -0.08 | 14% | 23 May → | |
| inferno | 11–13 | 0.10 | 17% | 23 May → | |
| cache | 9–13 | 0.05 | 21% | 23 May → | |
| cache | 0–5 | -0.03 | 17% | 23 May → | |
| cache | 12–12 | 0.03 | 20% | 23 May → | |
| ancient | 11–13 | -0.03 | 19% | 22 May → | |
| cache | 10–13 | 0.01 | 17% | 21 May → | |
| cache | 13–11 | -0.05 | 19% | 21 May → | |
| inferno | 13–4 | 0.10 | 22% | 21 May → | |
| inferno | 13–5 | 0.00 | 25% | 20 May → | |
| dust2 | 7–13 | 0.04 | 19% | 18 May → | |
| anubis | 6–13 | 0.00 | 16% | 18 May → | |
| nuke | 13–8 | -0.07 | 4% | 18 May → | |
| nuke | 6–13 | 0.03 | 23% | 17 May → | |
| anubis | 13–10 | -0.02 | 16% | 17 May → | |
| dust2 | 15–15 | -0.03 | 23% | 17 May → | |
| overpass | 13–10 | 0.05 | 29% | 15 May → | |
| train | 13–5 | 0.07 | 16% | 15 May → | |
| dust2 | 13–6 | 0.07 | 19% | 15 May → | |
| cache | 13–5 | 0.06 | 19% | 15 May → | |
| dust2 | 13–7 | -0.01 | 15% | 14 May → | |
| inferno | 4–13 | -0.03 | 27% | 14 May → | |
| cache | 4–4 | 0.03 | 25% | 14 May → | |
| ancient | 3–13 | -0.06 | 22% | 14 May → | |
| nuke | 8–13 | 0.02 | 13% | 14 May → | |
| anubis | 5–13 | -0.01 | 21% | 12 May → | |
| cache | 13–5 | 0.03 | 18% | 11 May → | |
| inferno | 16–14 | 0.01 | 19% | 11 May → | |
| mirage | 5–13 | -0.10 | 9% | 11 May → | |
| cache | 9–13 | -0.03 | 10% | 11 May → | |
| mirage | 4–13 | -0.02 | 24% | 11 May → | |
| cache | 7–13 | 0.04 | 16% | 10 May → | |
| cache | 13–11 | 0.04 | 17% | 10 May → | |
| cache | 5–0 | 0.14 | 13% | 10 May → | |
| cache | 13–10 | -0.01 | 24% | 6 May → | |
| cache | 8–13 | -0.01 | 22% | 6 May → | |
| cache | 13–9 | 0.08 | 16% | 5 May → | |
| cache | 12–12 | 0.06 | 30% | 4 May → | |
| cache | 13–5 | 0.17 | 16% | 4 May → | |
| dust2 | 5–13 | -0.03 | 20% | 3 May → | |
| nuke | 13–6 | 0.01 | 18% | 3 May → | |
| cache | 10–13 | -0.02 | 15% | 3 May → | |
| inferno | 13–9 | 0.08 | 19% | 28 Apr → | |
| inferno | 10–13 | 0.03 | 26% | 28 Apr → | |
| inferno | 8–13 | -0.02 | 25% | 27 Apr → | |
| ancient | 13–10 | -0.03 | 19% | 27 Apr → | |
| nuke | 13–0 | -0.01 | 33% | 27 Apr → | |
| inferno | 13–3 | 0.01 | 28% | 27 Apr → | |
| mirage | 16–14 | -0.05 | 19% | 27 Apr → | |
| dust2 | 8–13 | 0.03 | 10% | 26 Apr → | |
| inferno | 9–13 | 0.01 | 34% | 26 Apr → | |
| mirage | 7–13 | -0.02 | 36% | 26 Apr → | |
| overpass | 16–14 | -0.05 | 24% | 25 Apr → | |
| overpass | 13–6 | -0.02 | 14% | 25 Apr → | |
| mirage | 4–13 | -0.00 | 17% | 21 Apr → | |
| inferno | 13–10 | 0.00 | 13% | 20 Apr → | |
| dust2 | 1–13 | -0.07 | 8% | 20 Apr → | |
| inferno | 14–16 | -0.04 | 14% | 20 Apr → | |
| anubis | 9–13 | -0.03 | 8% | 15 Apr → | |
| dust2 | 7–13 | 0.00 | 20% | 15 Apr → | |
| vertigo | 10–13 | 0.00 | 22% | 14 Apr → | |
| dust2 | 7–13 | -0.06 | 30% | 14 Apr → | |
| alpine | 8–13 | 0.04 | 34% | 11 Apr → | |
| vertigo | 13–10 | 0.03 | 24% | 11 Apr → | |
| vertigo | 13–8 | -0.07 | 3% | 11 Apr → | |
| anubis | 11–13 | 0.03 | 15% | 2 Apr → | |
| anubis | 8–13 | -0.02 | 21% | 2 Apr → | |
| anubis | 0–3 | 0.00 | 33% | 2 Apr → | |
| dust2 | 3–13 | -0.04 | 39% | 22 Mar → | |
| office | 13–10 | -0.04 | 10% | 22 Mar → | |
| office | 10–13 | -0.01 | 21% | 22 Mar → | |
| office | 7–13 | 0.00 | 21% | 21 Mar → | |
| italy | 10–13 | -0.00 | 14% | 15 Mar → | |
| overpass | 13–10 | 0.03 | 34% | 14 Mar → | |
| dust2 | 4–13 | 0.04 | 15% | 22 Feb → | |
| office | 7–13 | 0.03 | 21% | 17 Feb → | |
| ancient | 13–8 | -0.02 | 12% | 17 Feb → | |
| dust2 | 13–3 | 0.03 | 28% | 16 Feb → | |
| nuke | 3–13 | -0.11 | 31% | 26 Jan → | |
| inferno | 12–12 | -0.08 | 11% | 26 Jan → | |
| ancient | 11–13 | -0.09 | 18% | 26 Jan → | |
| mirage | 12–12 | -0.05 | 12% | 25 Jan → | |
| overpass | 3–13 | -0.06 | 44% | 25 Jan → | |
| dust2 | 13–9 | -0.01 | 19% | 25 Jan → |
Match data via Leetify.
