axelpeepo — CS2 Stats
76561198039644988[U:1:79379260]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 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 63% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 34% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 668ms 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 4.5/10 (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 |
|---|---|---|---|---|---|
| B | 60 | 32–28 | 53% | -0.02 | |
| B | 14 | 7–7 | 50% | -0.03 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| — | 1 | 0–1 | 0% | -0.08 | |
| — | 1 | 0–1 | 0% | -0.11 | |
| — | 1 | 0–1 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
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 10.281% — 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 0.1828 — 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 0.3922% — 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–9 | -0.21 | 25% | 24 Mar → | ||
| 5–9 | -0.05 | 9% | 24 Mar → | ||
| 2–9 | -0.01 | 0% | 20 Mar → | ||
| 9–6 | 0.03 | 25% | 20 Mar → | ||
| 9–6 | 0.11 | 18% | 8 Nov → | ||
| 3–13 | -0.08 | 3% | 3 Dec → | ||
| 16–13 | -0.07 | 6% | 12 Mar → | ||
| 4–13 | -0.11 | 13% | 10 Mar → | ||
| 13–8 | -0.05 | 17% | 6 Mar → | ||
| 13–4 | 0.08 | 18% | 6 Mar → | ||
| 3–13 | -0.12 | 3% | 5 Mar → | ||
| 10–1 | 0.01 | 8% | 5 Mar → | ||
| 13–11 | 0.07 | 20% | 5 Mar → | ||
| 1–9 | -0.02 | 6% | 4 Mar → | ||
| 13–6 | -0.03 | 13% | 4 Mar → | ||
| 7–13 | -0.02 | 7% | 4 Mar → | ||
| 7–13 | -0.07 | 8% | 3 Mar → | ||
| 13–0 | -0.06 | 0% | 3 Mar → | ||
| 11–13 | -0.08 | 15% | 2 Mar → | ||
| 13–9 | 0.03 | 9% | 1 Mar → | ||
| 13–10 | 0.01 | 7% | 1 Mar → | ||
| 8–13 | -0.04 | 6% | 29 Feb → | ||
| 5–13 | -0.04 | 7% | 29 Feb → | ||
| 13–9 | -0.03 | 7% | 26 Feb → | ||
| 13–4 | 0.02 | 13% | 25 Feb → | ||
| 11–13 | 0.00 | 11% | 25 Feb → | ||
| 8–13 | 0.06 | 15% | 25 Feb → | ||
| 9–3 | 0.16 | 6% | 23 Feb → | ||
| 5–9 | -0.01 | 2% | 23 Feb → | ||
| 1–13 | -0.08 | 11% | 22 Feb → | ||
| 11–13 | 0.05 | 9% | 19 Feb → | ||
| 9–13 | 0.00 | 19% | 18 Feb → | ||
| 13–0 | 0.12 | 13% | 18 Feb → | ||
| 13–10 | -0.01 | 10% | 18 Feb → | ||
| 7–13 | -0.09 | 10% | 18 Feb → | ||
| 13–11 | -0.02 | 8% | 17 Feb → | ||
| 13–5 | -0.01 | 12% | 17 Feb → | ||
| 13–1 | 0.05 | 3% | 17 Feb → | ||
| 5–13 | 0.01 | 5% | 15 Feb → | ||
| 9–1 | 0.13 | 16% | 15 Feb → | ||
| 11–13 | -0.03 | 12% | 13 Feb → | ||
| 13–4 | 0.05 | 19% | 13 Feb → | ||
| 4–13 | -0.06 | 5% | 11 Feb → | ||
| 13–11 | 0.06 | 13% | 11 Feb → | ||
| 13–8 | 0.03 | 9% | 11 Feb → | ||
| 13–9 | -0.16 | 3% | 10 Feb → | ||
| 7–13 | 0.01 | 16% | 10 Feb → | ||
| 6–13 | -0.07 | 18% | 10 Feb → | ||
| 13–10 | -0.01 | 12% | 9 Feb → | ||
| 2–13 | -0.08 | 5% | 9 Feb → | ||
| 12–12 | -0.04 | 10% | 8 Feb → | ||
| 12–12 | 0.02 | 9% | 8 Feb → | ||
| 13–9 | -0.03 | 18% | 7 Feb → | ||
| 6–13 | -0.01 | 14% | 3 Feb → | ||
| 13–11 | -0.04 | 13% | 2 Feb → | ||
| 13–4 | -0.11 | 9% | 31 Jan → | ||
| 11–13 | -0.00 | 13% | 28 Jan → | ||
| 2–13 | -0.07 | 11% | 28 Jan → | ||
| 9–4 | -0.00 | 12% | 23 Apr → | ||
| 7–9 | -0.09 | 14% | 22 Apr → | ||
| 9–3 | 0.01 | 12% | 22 Apr → | ||
| 7–16 | -0.01 | 13% | 22 Apr → | ||
| 15–15 | 0.01 | 12% | 21 Apr → | ||
| 16–10 | 0.02 | 7% | 19 Apr → | ||
| 8–16 | -0.11 | 12% | 19 Apr → | ||
| 16–10 | -0.02 | 5% | 18 Apr → | ||
| 6–9 | -0.05 | 13% | 17 Apr → | ||
| 9–3 | -0.02 | 7% | 16 Apr → | ||
| 5–9 | 0.04 | 13% | 16 Apr → | ||
| 8–8 | -0.10 | 11% | 15 Apr → | ||
| 9–2 | -0.01 | 12% | 15 Apr → | ||
| 9–2 | 0.01 | 14% | 15 Apr → | ||
| 9–1 | 0.10 | 11% | 15 Apr → | ||
| 16–6 | 0.03 | 15% | 15 Apr → | ||
| 14–16 | -0.02 | 5% | 14 Apr → | ||
| 10–16 | -0.05 | 9% | 13 Apr → | ||
| 16–14 | -0.04 | 10% | 10 Apr → | ||
| 6–16 | -0.12 | 6% | 10 Apr → | ||
| 11–16 | -0.12 | 7% | 10 Apr → | ||
| 8–16 | -0.02 | 12% | 10 Apr → | ||
| 9–3 | -0.03 | 12% | 9 Apr → | ||
| 3–9 | -0.04 | 16% | 9 Apr → | ||
| 9–6 | 0.08 | 10% | 9 Apr → | ||
| 6–9 | -0.04 | 20% | 9 Apr → | ||
| 4–9 | -0.10 | 23% | 9 Apr → | ||
| 11–16 | -0.03 | 9% | 8 Apr → | ||
| 3–16 | -0.04 | 7% | 7 Apr → | ||
| 16–4 | -0.03 | 12% | 7 Apr → | ||
| 6–1 | -0.09 | 0% | 6 Apr → | ||
| 16–10 | 0.04 | 11% | 6 Apr → | ||
| 9–4 | -0.02 | 17% | 6 Apr → | ||
| 5–9 | -0.10 | 9% | 6 Apr → | ||
| 9–7 | -0.06 | 11% | 5 Apr → | ||
| 8–8 | -0.06 | 8% | 5 Apr → | ||
| 9–5 | 0.01 | 4% | 5 Apr → | ||
| 9–4 | -0.03 | 7% | 5 Apr → | ||
| 15–15 | 0.01 | 8% | 4 Apr → | ||
| 16–11 | -0.05 | 12% | 4 Apr → | ||
| 16–10 | 0.06 | 9% | 4 Apr → | ||
| 8–16 | -0.06 | 9% | 4 Apr → |
Match data via Leetify.
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