ItsTheToneDog — CS2 Stats
76561198072516427[U:1:112250699]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 43.0% | 42.5% | 44.2% | 1.2% short |
| Shot accuracy | 17.4% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.20 | 0.99 | 1.04 | above |
| Match win rate | 48.8% | 44.2% | 45.3% | above |
This profile matches the typical Level 5 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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: +0pp win rate · +0.03 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerReliable in 1v1s
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 70% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower opening-fight frequency; 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
T-side openings. Opening success drops from 36% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 587ms 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 4.2/10 (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 |
|---|---|---|---|---|---|
 mirage | A | 14 | 8–6 | 57% | 0.00 |
 inferno | C | 14 | 5–9 | 36% | -0.03 |
 dust2 | C | 12 | 5–7 | 42% | -0.02 |
 ancient | A | 11 | 6–5 | 55% | -0.03 |
 nuke | S | 11 | 8–3 | 73% | -0.02 |
 anubis | C | 9 | 4–5 | 44% | -0.02 |
 train | A | 7 | 4–3 | 57% | 0.02 |
 overpass | — | 4 | 2–2 | 50% | -0.00 |
 vertigo | — | 4 | 1–3 | 25% | -0.07 |
| poseidon | — | 3 | 1–2 | 33% | -0.08 |
 cache | — | 3 | 0–3 | 0% | -0.03 |
| office | — | 3 | 0–3 | 0% | -0.01 |
| jura | — | 2 | 1–1 | 50% | -0.06 |
| eldorado | — | 1 | 0–1 | 0% | 0.04 |
| debris | — | 1 | 1–0 | 100% | 0.19 |
| agency | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 1 | 100% | 1.13 | 17.0 |
| Mirage | 1 | 100% | 1.17 | 14.0 |
| Overpass | 1 | 100% | 0.95 | 21.0 |
| Ancient | 1 | 100% | 1.29 | 18.0 |
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 11.5169% — 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 0.4966 — 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 20.2228% — 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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| poseidon | 3–9 | -0.25 | 13% | 29 Jul → | |
| cache | 10–13 | -0.01 | 11% | 25 Jul → | |
| eldorado | 5–9 | 0.04 | 15% | 25 Jul → | |
| poseidon | 9–1 | 0.12 | 16% | 25 Jul → | |
| debris | 9–1 | 0.19 | 16% | 25 Jul → | |
| cache | 11–13 | -0.02 | 16% | 6 May → | |
| cache | 9–13 | -0.04 | 9% | 6 May → | |
| ancient | 13–7 | -0.00 | 16% | 6 May → | |
| ancient | 13–5 | 0.05 | 16% | 18 Apr → | |
| mirage | 6–13 | -0.04 | 8% | 2 Apr → | |
| ancient | 13–8 | -0.04 | 6% | 22 Mar → | |
| overpass | 13–4 | 0.04 | 10% | 17 Mar → | |
| mirage | 13–8 | 0.01 | 14% | 13 Mar → | |
| mirage | 9–13 | -0.03 | 14% | 19 Feb → | |
| inferno | 1–13 | -0.04 | 6% | 19 Feb → | |
| poseidon | 4–9 | -0.13 | 12% | 19 Feb → | |
| ancient | 13–16 | 0.00 | 13% | 15 Feb → | |
| inferno | 8–8 | -0.00 | 13% | 14 Feb → | |
| anubis | 10–13 | -0.10 | 2% | 12 Feb → | |
| ancient | 13–8 | -0.01 | 5% | 12 Feb → | |
| ancient | 13–5 | -0.02 | 8% | 15 Aug → | |
| office | 4–13 | -0.01 | 12% | 15 Aug → | |
| mirage | 13–8 | 0.04 | 5% | 31 Jul → | |
| inferno | 13–7 | 0.01 | 15% | 30 Jul → | |
| mirage | 5–13 | 0.00 | 10% | 29 Jul → | |
| inferno | 7–9 | -0.04 | 11% | 29 Jul → | |
| mirage | 9–13 | -0.01 | 18% | 28 Jul → | |
| mirage | 13–10 | 0.01 | 13% | 22 Jul → | |
| overpass | 15–15 | -0.02 | 5% | 17 Jul → | |
| train | 13–10 | 0.01 | 16% | 16 Jul → | |
| overpass | 13–7 | 0.05 | 14% | 16 Jul → | |
| overpass | 4–13 | -0.08 | 7% | 16 Jul → | |
| inferno | 8–8 | -0.04 | 10% | 12 Jul → | |
| nuke | 15–15 | -0.04 | 10% | 12 Jul → | |
| anubis | 13–11 | -0.02 | 9% | 12 Jul → | |
| mirage | 15–15 | 0.00 | 19% | 11 Jul → | |
| nuke | 8–13 | -0.07 | 26% | 11 Jul → | |
| dust2 | 13–2 | -0.02 | 11% | 8 Jul → | |
| nuke | 13–7 | -0.00 | 16% | 6 Jul → | |
| train | 9–13 | 0.02 | 10% | 6 Jul → | |
| anubis | 7–13 | 0.02 | 11% | 2 Jul → | |
| vertigo | 7–13 | -0.08 | 11% | 29 Jun → | |
| train | 13–0 | 0.10 | 25% | 29 Jun → | |
| nuke | 13–8 | -0.09 | 8% | 29 Jun → | |
| mirage | 13–3 | 0.03 | 9% | 28 Jun → | |
| nuke | 13–6 | 0.07 | 9% | 28 Jun → | |
| mirage | 13–10 | 0.02 | 7% | 24 Jun → | |
| anubis | 9–13 | -0.05 | 8% | 24 Jun → | |
| train | 13–5 | 0.09 | 15% | 20 Jun → | |
| nuke | 13–9 | -0.02 | 15% | 18 Jun → | |
| train | 9–13 | -0.00 | 11% | 18 Jun → | |
| ancient | 11–13 | -0.05 | 13% | 29 May → | |
| dust2 | 4–13 | -0.13 | 14% | 27 May → | |
| mirage | 13–10 | 0.01 | 9% | 26 May → | |
| mirage | 13–7 | 0.01 | 15% | 26 May → | |
| vertigo | 11–13 | -0.06 | 19% | 18 May → | |
| nuke | 13–3 | -0.01 | 22% | 18 May → | |
| anubis | 13–6 | -0.01 | 15% | 18 May → | |
| agency | 9–13 | 0.01 | 14% | 9 May → | |
| jura | 8–13 | -0.03 | 10% | 9 May → | |
| jura | 13–4 | -0.09 | 6% | 9 May → | |
| anubis | 12–16 | 0.01 | 14% | 5 May → | |
| dust2 | 13–0 | 0.07 | 14% | 5 May → | |
| mirage | 11–13 | 0.04 | 9% | 4 May → | |
| inferno | 5–13 | -0.09 | 3% | 3 May → | |
| nuke | 7–13 | -0.06 | 17% | 3 May → | |
| nuke | 13–10 | -0.03 | 14% | 28 Mar → | |
| train | 5–13 | -0.10 | 26% | 28 Mar → | |
| inferno | 16–14 | -0.04 | 11% | 21 Mar → | |
| ancient | 3–13 | -0.07 | 7% | 21 Mar → | |
| inferno | 9–7 | -0.03 | 12% | 14 Mar → | |
| dust2 | 11–13 | 0.01 | 8% | 12 Mar → | |
| dust2 | 13–10 | -0.07 | 12% | 2 Mar → | |
| inferno | 14–16 | 0.01 | 21% | 2 Mar → | |
| dust2 | 5–13 | -0.05 | 16% | 1 Mar → | |
| train | 13–2 | 0.01 | 8% | 27 Feb → | |
| ancient | 3–13 | -0.09 | 17% | 25 Feb → | |
| anubis | 13–10 | -0.00 | 19% | 20 Feb → | |
| inferno | 6–13 | -0.04 | 19% | 20 Feb → | |
| dust2 | 10–6 | 0.03 | 17% | 18 Feb → | |
| ancient | 13–10 | -0.00 | 21% | 18 Feb → | |
| inferno | 2–13 | -0.08 | 13% | 7 Feb → | |
| mirage | 13–11 | -0.07 | 11% | 7 Feb → | |
| nuke | 13–7 | -0.02 | 18% | 7 Feb → | |
| nuke | 13–10 | 0.10 | 19% | 3 Feb → | |
| inferno | 5–13 | -0.08 | 22% | 24 Jan → | |
| dust2 | 11–13 | -0.04 | 14% | 20 Jan → | |
| vertigo | 2–13 | -0.11 | 27% | 18 Jan → | |
| dust2 | 12–12 | -0.08 | 20% | 18 Jan → | |
| office | 5–13 | 0.01 | 22% | 18 Jan → | |
| anubis | 11–13 | -0.06 | 11% | 16 Jan → | |
| dust2 | 13–7 | 0.03 | 17% | 16 Jan → | |
| vertigo | 13–10 | -0.03 | 20% | 7 Jan → | |
| ancient | 4–13 | -0.07 | 20% | 7 Jan → | |
| inferno | 13–6 | 0.00 | 10% | 7 Jan → | |
| inferno | 10–1 | 0.01 | 18% | 30 Dec → | |
| office | 10–13 | -0.03 | 16% | 30 Dec → | |
| dust2 | 10–13 | -0.01 | 9% | 13 Dec → | |
| anubis | 13–9 | 0.00 | 11% | 11 Dec → | |
| dust2 | 10–13 | -0.02 | 24% | 11 Dec → |
Match data via Leetify.
