Q2 — CS2 Stats
76561198118505090[U:1:158239362]Steam profile ↗
Rating over time
Premier CS Rating
- At peak — 11,378
- Next: Purple band at 15,000 — 3,622 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 71% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim profile; lower opening-fight frequency.
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. 597ms 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 3.9/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 15 | 7–8 | 47% | 0.00 | |
| C | 15 | 6–9 | 40% | 0.01 | |
| S | 15 | 10–5 | 67% | 0.03 | |
| D | 15 | 5–10 | 33% | -0.02 | |
| C | 14 | 6–8 | 43% | -0.00 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| B | 6 | 3–3 | 50% | -0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 6 | 83% | 1.19 | 19.5 |
| Anubis | 5 | 60% | 1.38 | 15.6 |
| Ancient | 4 | 50% | 1.30 | 17.0 |
| Mirage | 3 | 33% | 0.85 | 13.0 |
| Inferno | 2 | 0% | 0.76 | 13.0 |
| Dust2 | 2 | 100% | 1.54 | 18.5 |
| Nuke | 1 | 0% | 0.59 | 13.0 |
| Vertigo | 1 | 0% | 0.83 | 15.0 |
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 12.3693% — 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 0.4835 — 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 18.2211% — 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 | |
|---|---|---|---|---|---|
| 11–13 | -0.07 | 16% | 28 Aug → | ||
| 13–16 | -0.00 | 10% | 27 Aug → | ||
| 13–4 | 0.03 | 14% | 15 Aug → | ||
| 9–13 | 0.03 | 8% | 15 Aug → | ||
| 13–10 | -0.01 | 14% | 10 Aug → | ||
| 2–13 | -0.05 | 8% | 8 Aug → | ||
| 13–11 | 0.01 | 23% | 8 Aug → | ||
| 4–13 | -0.10 | 9% | 8 Aug → | ||
| 13–10 | -0.01 | 10% | 8 Aug → | ||
| 8–13 | -0.03 | 20% | 8 Aug → | ||
| 3–13 | -0.03 | 13% | 7 Aug → | ||
| 13–10 | -0.04 | 6% | 7 Aug → | ||
| 13–4 | 0.04 | 8% | 6 Aug → | ||
| 9–6 | 0.06 | 16% | 6 Aug → | ||
| 14–16 | 0.01 | 9% | 6 Aug → | ||
| 11–13 | -0.01 | 10% | 5 Aug → | ||
| 3–9 | -0.02 | 29% | 5 Aug → | ||
| 13–8 | 0.09 | 13% | 5 Aug → | ||
| 8–13 | -0.01 | 9% | 5 Aug → | ||
| 10–13 | 0.01 | 16% | 3 Aug → | ||
| 15–15 | 0.02 | 12% | 2 Aug → | ||
| 13–10 | 0.00 | 16% | 2 Aug → | ||
| 13–7 | 0.07 | 11% | 2 Aug → | ||
| 5–13 | 0.03 | 10% | 2 Aug → | ||
| 13–16 | -0.02 | 10% | 2 Aug → | ||
| 9–13 | -0.03 | 12% | 1 Aug → | ||
| 13–8 | 0.01 | 11% | 1 Aug → | ||
| 13–9 | 0.08 | 19% | 1 Aug → | ||
| 3–13 | 0.08 | 20% | 1 Aug → | ||
| 4–13 | 0.01 | 22% | 1 Aug → | ||
| 12–16 | -0.02 | 9% | 1 Aug → | ||
| 13–5 | 0.06 | 7% | 1 Aug → | ||
| 13–9 | 0.00 | 18% | 1 Aug → | ||
| 13–3 | 0.04 | 19% | 1 Aug → | ||
| 13–3 | -0.01 | 12% | 1 Aug → | ||
| 6–13 | -0.07 | 7% | 31 Jul → | ||
| 4–13 | -0.03 | 18% | 31 Jul → | ||
| 13–6 | 0.01 | 11% | 31 Jul → | ||
| 13–8 | -0.01 | 6% | 31 Jul → | ||
| 6–13 | -0.03 | 10% | 31 Jul → | ||
| 13–10 | 0.04 | 6% | 30 Jul → | ||
| 5–13 | -0.05 | 24% | 29 Jul → | ||
| 15–15 | -0.05 | 6% | 29 Jul → | ||
| 13–16 | 0.05 | 17% | 28 Jul → | ||
| 13–6 | 0.04 | 16% | 28 Jul → | ||
| 8–13 | -0.05 | 22% | 28 Jul → | ||
| 5–13 | -0.04 | 13% | 28 Jul → | ||
| 5–13 | -0.05 | 12% | 28 Jul → | ||
| 13–10 | -0.01 | 11% | 28 Jul → | ||
| 6–13 | 0.01 | 19% | 27 Jul → | ||
| 13–7 | 0.10 | 14% | 27 Jul → | ||
| 10–13 | -0.01 | 9% | 26 Jul → | ||
| 13–9 | -0.01 | 15% | 26 Jul → | ||
| 6–13 | -0.08 | 6% | 26 Jul → | ||
| 5–13 | 0.05 | 17% | 26 Jul → | ||
| 12–16 | 0.01 | 11% | 26 Jul → | ||
| 10–13 | -0.01 | 13% | 26 Jul → | ||
| 8–13 | -0.03 | 32% | 26 Jul → | ||
| 5–13 | -0.07 | 6% | 26 Jul → | ||
| 13–5 | 0.03 | 5% | 26 Jul → | ||
| 15–15 | 0.01 | 8% | 25 Jul → | ||
| 13–3 | 0.04 | 13% | 25 Jul → | ||
| 11–13 | -0.01 | 24% | 25 Jul → | ||
| 13–11 | 0.05 | 9% | 25 Jul → | ||
| 13–7 | -0.01 | 9% | 25 Jul → | ||
| 11–13 | 0.00 | 9% | 25 Jul → | ||
| 5–13 | -0.06 | 23% | 25 Jul → | ||
| 13–7 | 0.08 | 12% | 25 Jul → | ||
| 13–3 | 0.05 | 9% | 24 Jul → | ||
| 13–11 | -0.01 | 9% | 24 Jul → | ||
| 5–13 | -0.06 | 5% | 24 Jul → | ||
| 13–2 | 0.04 | 13% | 24 Jul → | ||
| 11–13 | 0.03 | 10% | 23 Jul → | ||
| 7–13 | 0.01 | 12% | 23 Jul → | ||
| 1–9 | -0.19 | 10% | 23 Jul → | ||
| 10–13 | -0.07 | 5% | 22 Jul → | ||
| 13–8 | 0.04 | 4% | 22 Jul → | ||
| 13–10 | 0.10 | 10% | 22 Jul → | ||
| 13–5 | 0.08 | 16% | 22 Jul → | ||
| 13–11 | -0.02 | 7% | 21 Jul → | ||
| 11–13 | 0.05 | 15% | 21 Jul → | ||
| 13–11 | 0.03 | 12% | 21 Jul → | ||
| 8–13 | -0.01 | 12% | 21 Jul → | ||
| 16–13 | -0.02 | 13% | 20 Jul → | ||
| 13–6 | -0.01 | 7% | 20 Jul → | ||
| 13–10 | -0.00 | 19% | 20 Jul → | ||
| 4–13 | -0.05 | 11% | 19 Jul → | ||
| 13–10 | 0.06 | 17% | 19 Jul → | ||
| 13–6 | -0.00 | 11% | 19 Jul → | ||
| 3–13 | -0.09 | 11% | 19 Jul → | ||
| 13–7 | 0.01 | 14% | 19 Jul → | ||
| 4–0 | 0.04 | 17% | 19 Jul → | ||
| 6–13 | -0.04 | 19% | 19 Jul → | ||
| 4–13 | 0.02 | 14% | 19 Jul → | ||
| 11–13 | -0.04 | 13% | 19 Jul → | ||
| 13–7 | 0.04 | 9% | 19 Jul → | ||
| 13–8 | 0.04 | 21% | 19 Jul → | ||
| 4–13 | 0.00 | 10% | 18 Jul → | ||
| 15–15 | 0.02 | 8% | 18 Jul → | ||
| 13–5 | 0.05 | 15% | 18 Jul → |
Match data via Leetify.