Sniper Gang James — CS2 Stats
US76561198138763259[U:1:178497531]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 40.7% | 44.1% | 47.2% | 6.5% short |
| Shot accuracy | 9.0% | 11.4% | 12.7% | 3.7% short |
| Kill/death ratio | 0.82 | 1.03 | 1.09 | 0.26 short |
| Match win rate | 40.9% | 45.2% | 46.6% | 5.7% short |
This profile sits below the typical Pink band player on every metric we can compare.
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: +20pp win rate · +0.03 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 78% 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. 586ms 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 4.1/10 (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 |
|---|---|---|---|---|---|
| C | 27 | 12–15 | 44% | -0.01 | |
| B | 17 | 8–9 | 47% | -0.02 | |
| D | 13 | 4–9 | 31% | -0.01 | |
| S | 11 | 9–2 | 82% | -0.02 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| D | 8 | 2–6 | 25% | -0.01 | |
| — | 1 | 1–0 | 100% | -0.01 | |
| boulder | — | 1 | 1–0 | 100% | 0.01 |
| — | 1 | 1–0 | 100% | 0.15 | |
| — | 1 | 0–1 | 0% | -0.03 | |
| office | — | 1 | 1–0 | 100% | -0.07 |
| shelter | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 51 | 57% | 1.17 | 16.3 |
| Inferno | 22 | 55% | 1.18 | 17.9 |
| Ancient | 16 | 44% | 0.93 | 14.5 |
| Dust2 | 13 | 46% | 1.10 | 17.9 |
| Nuke | 9 | 56% | 0.75 | 12.8 |
| Overpass | 9 | 67% | 1.22 | 16.9 |
| Train | 6 | 33% | 1.40 | 19.0 |
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.
- 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 14.5088% — 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 0.4123 — 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 32.5403% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.08 | 15% | 15 Aug → | ||
| 13–3 | -0.01 | 12% | 13 Aug → | ||
| boulder | 6–1 | 0.01 | 7% | 13 Aug → | |
| 6–13 | -0.01 | 12% | 13 Aug → | ||
| 7–13 | 0.04 | 20% | 13 Aug → | ||
| 14–16 | -0.01 | 16% | 13 Aug → | ||
| 10–13 | 0.00 | 10% | 12 Aug → | ||
| 16–12 | 0.03 | 10% | 12 Aug → | ||
| 10–13 | 0.02 | 21% | 12 Aug → | ||
| 13–3 | 0.04 | 10% | 11 Aug → | ||
| 7–13 | -0.05 | 10% | 11 Aug → | ||
| 16–14 | -0.02 | 8% | 10 Aug → | ||
| 5–13 | -0.05 | 21% | 10 Aug → | ||
| 11–13 | 0.00 | 20% | 9 Aug → | ||
| 2–13 | -0.04 | 6% | 9 Aug → | ||
| 13–11 | 0.01 | 10% | 8 Aug → | ||
| 7–13 | -0.04 | 16% | 8 Aug → | ||
| 9–13 | -0.02 | 13% | 8 Aug → | ||
| 7–13 | -0.04 | 10% | 8 Aug → | ||
| 9–13 | -0.04 | 14% | 8 Aug → | ||
| 6–13 | -0.02 | 12% | 8 Aug → | ||
| 13–7 | -0.07 | 14% | 8 Aug → | ||
| 13–11 | -0.08 | 18% | 8 Aug → | ||
| 13–5 | 0.05 | 17% | 8 Aug → | ||
| 13–10 | -0.04 | 9% | 8 Aug → | ||
| 9–13 | -0.03 | 18% | 8 Aug → | ||
| 5–13 | -0.00 | 19% | 7 Aug → | ||
| 13–10 | 0.02 | 27% | 7 Aug → | ||
| 11–13 | 0.03 | 17% | 7 Aug → | ||
| 13–8 | -0.02 | 19% | 7 Aug → | ||
| 13–3 | -0.10 | 26% | 7 Aug → | ||
| 13–9 | -0.04 | 5% | 7 Aug → | ||
| 5–13 | -0.01 | 20% | 7 Aug → | ||
| 15–15 | -0.01 | 9% | 7 Aug → | ||
| 8–13 | -0.05 | 24% | 7 Aug → | ||
| 13–2 | -0.02 | 11% | 7 Aug → | ||
| 5–13 | -0.11 | 19% | 6 Aug → | ||
| 5–13 | -0.08 | 14% | 6 Aug → | ||
| 11–13 | -0.08 | 20% | 6 Aug → | ||
| 4–13 | -0.03 | 21% | 5 Aug → | ||
| 16–12 | -0.06 | 5% | 5 Aug → | ||
| 13–11 | -0.00 | 17% | 4 Aug → | ||
| 9–4 | 0.15 | 13% | 4 Aug → | ||
| 9–3 | 0.08 | 18% | 4 Aug → | ||
| 11–13 | -0.07 | 20% | 4 Aug → | ||
| 13–8 | 0.02 | 11% | 4 Aug → | ||
| 11–13 | 0.03 | 19% | 4 Aug → | ||
| 10–13 | -0.03 | 11% | 4 Aug → | ||
| 15–15 | 0.01 | 12% | 3 Aug → | ||
| 13–9 | 0.07 | 25% | 3 Aug → | ||
| 13–9 | 0.02 | 17% | 3 Aug → | ||
| 9–13 | -0.04 | 5% | 3 Aug → | ||
| 9–13 | -0.04 | 10% | 3 Aug → | ||
| 13–11 | -0.07 | 13% | 3 Aug → | ||
| 16–13 | -0.02 | 28% | 3 Aug → | ||
| 13–11 | 0.01 | 18% | 3 Aug → | ||
| 9–13 | -0.02 | 14% | 3 Aug → | ||
| 13–7 | 0.02 | 9% | 3 Aug → | ||
| 9–13 | -0.04 | 26% | 2 Aug → | ||
| 2–5 | -0.05 | 13% | 2 Aug → | ||
| 13–8 | 0.01 | 18% | 2 Aug → | ||
| 13–11 | 0.06 | 25% | 2 Aug → | ||
| 1–13 | -0.12 | 0% | 2 Aug → | ||
| 12–16 | 0.01 | 13% | 2 Aug → | ||
| 13–8 | 0.01 | 15% | 2 Aug → | ||
| 13–9 | 0.06 | 24% | 2 Aug → | ||
| 5–13 | -0.05 | 15% | 2 Aug → | ||
| 13–11 | 0.07 | 13% | 2 Aug → | ||
| 13–16 | 0.01 | 12% | 2 Aug → | ||
| 8–13 | -0.03 | 18% | 1 Aug → | ||
| 16–14 | -0.03 | 20% | 1 Aug → | ||
| 15–15 | -0.02 | 10% | 1 Aug → | ||
| 13–3 | 0.02 | 21% | 1 Aug → | ||
| 16–12 | 0.01 | 13% | 31 Jul → | ||
| 7–13 | 0.00 | 12% | 31 Jul → | ||
| 10–13 | -0.01 | 12% | 31 Jul → | ||
| 13–2 | -0.06 | 24% | 30 Jul → | ||
| 16–13 | 0.04 | 15% | 30 Jul → | ||
| 13–9 | 0.05 | 18% | 30 Jul → | ||
| 7–13 | -0.01 | 13% | 30 Jul → | ||
| 13–2 | 0.05 | 8% | 30 Jul → | ||
| 13–11 | -0.08 | 16% | 30 Jul → | ||
| 13–5 | 0.03 | 15% | 29 Jul → | ||
| 13–4 | -0.06 | 3% | 29 Jul → | ||
| 9–13 | -0.03 | 22% | 29 Jul → | ||
| 8–13 | -0.03 | 5% | 29 Jul → | ||
| 13–1 | 0.03 | 18% | 29 Jul → | ||
| 13–4 | 0.08 | 25% | 29 Jul → | ||
| 8–13 | -0.05 | 16% | 29 Jul → | ||
| 13–11 | -0.04 | 18% | 29 Jul → | ||
| 13–6 | -0.02 | 24% | 27 Jul → | ||
| 13–2 | 0.08 | 14% | 27 Jul → | ||
| 15–15 | -0.02 | 18% | 27 Jul → | ||
| 12–12 | -0.00 | 25% | 26 Jul → | ||
| 7–13 | -0.06 | 26% | 26 Jul → | ||
| 13–7 | 0.05 | 28% | 26 Jul → | ||
| 9–13 | -0.05 | 19% | 26 Jul → | ||
| 7–13 | -0.05 | 14% | 26 Jul → | ||
| office | 13–4 | -0.07 | 18% | 26 Jul → | |
| shelter | 13–10 | 0.01 | 23% | 25 Jul → |
Match data via Leetify.