small dog — CS2 Stats
HK76561198419406746[U:1:459141018]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 28 Aug 2026 (20 days ago). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 28 Apr 2021. Come back after the next session and the change shows above.
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Rating over time
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +4.6pp headshot accuracy · +77ms reaction
Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 3–2 · 60% win rate
- Avg rating 0.06
- Avg headshot accuracy 31%
- Avg reaction 611ms
Last 10
- 6–4 · 60% win rate
- Avg rating 0.06
- Avg headshot accuracy 32%
- Avg reaction 599ms
Last 20
- 14–6 · 70% win rate
- Avg rating 0.06
- Avg headshot accuracy 30%
- Avg reaction 561ms
Newest first, from the last 93 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: All-Rounder — No style dimension stands clear of the others in this profile.
Strong CT-side openerEffective flashes
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like m0NESY 84% playstyle similarity
Most alike: utility contribution, 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
CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 70% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 568ms 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 7.9/10 (Strong), 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 93 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Personal bests
Across the last 93 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | B | 36 | 17–19 | 47% | 0.04 |
 inferno | A | 16 | 10–6 | 63% | 0.04 |
 nuke | B | 16 | 8–8 | 50% | 0.02 |
 mirage | S | 6 | 5–1 | 83% | 0.09 |
 anubis | B | 6 | 3–3 | 50% | 0.04 |
 overpass | A | 5 | 3–2 | 60% | 0.04 |
 cache | — | 3 | 2–1 | 67% | 0.05 |
 ancient | — | 2 | 2–0 | 100% | 0.00 |
 train | — | 2 | 2–0 | 100% | 0.11 |
| jura | — | 1 | 0–1 | 0% | -0.01 |
Across the last 93 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (47% over 36). Start with the 6 essential Dust 2 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.
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–7 | 0.12 | 36% | 13 Sept → | |
| dust2 | 0–7 | -0.05 | 33% | 13 Sept → | |
| inferno | 11–13 | 0.05 | 24% | 13 Sept → | |
| nuke | 13–3 | 0.15 | 30% | 13 Sept → | |
| cache | 13–7 | 0.02 | 29% | 8 Sept → | |
| dust2 | 4–13 | 0.10 | 28% | 8 Aug → | |
| dust2 | 9–13 | 0.07 | 39% | 18 Jul → | |
| ancient | 13–6 | 0.02 | 28% | 18 Jul → | |
| mirage | 7–3 | 0.03 | 36% | 18 Jul → | |
| dust2 | 13–11 | 0.05 | 40% | 4 Jul → | |
| dust2 | 13–10 | 0.17 | 24% | 26 Jun → | |
| cache | 3–13 | 0.10 | 18% | 26 Jun → | |
| inferno | 13–0 | 0.03 | 14% | 26 Jun → | |
| inferno | 13–2 | 0.05 | 33% | 25 Jun → | |
| mirage | 13–9 | 0.15 | 26% | 25 Jun → | |
| anubis | 7–13 | 0.07 | 31% | 25 Jun → | |
| inferno | 13–11 | -0.02 | 36% | 13 Jun → | |
| inferno | 13–6 | 0.08 | 29% | 13 Jun → | |
| nuke | 13–11 | 0.07 | 31% | 4 May → | |
| cache | 13–11 | 0.03 | 35% | 4 May → | |
| inferno | 13–11 | 0.01 | 31% | 3 Apr → | |
| overpass | 13–3 | 0.16 | 28% | 29 Mar → | |
| dust2 | 8–13 | -0.02 | 36% | 29 Mar → | |
| mirage | 13–3 | 0.10 | 30% | 21 Mar → | |
| dust2 | 16–14 | 0.06 | 18% | 8 Mar → | |
| dust2 | 13–9 | 0.03 | 29% | 8 Mar → | |
| nuke | 15–15 | 0.06 | 23% | 8 Mar → | |
| anubis | 10–13 | -0.01 | 17% | 7 Mar → | |
| dust2 | 13–3 | 0.07 | 13% | 7 Mar → | |
| inferno | 10–13 | 0.03 | 21% | 7 Mar → | |
| dust2 | 13–8 | 0.02 | 13% | 7 Mar → | |
| dust2 | 4–13 | 0.03 | 18% | 7 Mar → | |
| nuke | 10–13 | 0.02 | 29% | 7 Mar → | |
| dust2 | 4–13 | -0.03 | 33% | 1 Mar → | |
| dust2 | 13–7 | 0.19 | 21% | 1 Mar → | |
| nuke | 13–4 | 0.07 | 22% | 1 Mar → | |
| dust2 | 10–13 | 0.04 | 18% | 7 Feb → | |
| nuke | 13–10 | -0.04 | 31% | 7 Feb → | |
| dust2 | 6–13 | 0.04 | 33% | 7 Feb → | |
| inferno | 13–1 | 0.18 | 43% | 7 Feb → | |
| nuke | 6–13 | 0.02 | 29% | 10 Jan → | |
| dust2 | 10–13 | 0.00 | 22% | 10 Jan → | |
| dust2 | 13–6 | 0.07 | 31% | 10 Jan → | |
| overpass | 8–13 | -0.05 | 28% | 10 Jan → | |
| dust2 | 12–12 | -0.01 | 29% | 1 Jan → | |
| overpass | 13–5 | 0.08 | 35% | 1 Jan → | |
| dust2 | 3–13 | 0.02 | 60% | 1 Jan → | |
| train | 13–11 | 0.04 | 16% | 1 Jan → | |
| dust2 | 13–16 | 0.06 | 33% | 21 Dec → | |
| overpass | 4–13 | -0.04 | 33% | 21 Dec → | |
| inferno | 13–3 | 0.07 | 25% | 21 Dec → | |
| ancient | 13–10 | -0.01 | 10% | 20 Dec → | |
| dust2 | 13–11 | 0.07 | 23% | 5 Oct → | |
| nuke | 11–13 | 0.02 | 24% | 5 Oct → | |
| nuke | 5–13 | -0.05 | 21% | 13 Sept → | |
| dust2 | 4–13 | 0.02 | 17% | 13 Sept → | |
| dust2 | 16–12 | 0.04 | 23% | 5 Aug → | |
| inferno | 10–13 | 0.01 | 14% | 5 Aug → | |
| overpass | 16–12 | 0.05 | 40% | 5 Aug → | |
| dust2 | 16–14 | 0.08 | 29% | 26 Jul → | |
| inferno | 13–8 | 0.06 | 22% | 26 Jul → | |
| dust2 | 11–13 | -0.05 | 17% | 26 Jul → | |
| dust2 | 5–13 | 0.03 | 24% | 26 Jul → | |
| dust2 | 13–7 | -0.03 | 18% | 25 Jul → | |
| dust2 | 13–11 | 0.02 | 22% | 25 Jul → | |
| anubis | 13–9 | 0.04 | 27% | 13 Jul → | |
| nuke | 7–13 | -0.02 | 26% | 13 Jul → | |
| anubis | 3–12 | 0.00 | 41% | 13 Jul → | |
| dust2 | 13–7 | 0.03 | 17% | 11 Jul → | |
| inferno | 4–13 | -0.04 | 39% | 11 Jul → | |
| nuke | 13–3 | 0.03 | 20% | 11 Jul → | |
| anubis | 13–8 | 0.05 | 24% | 11 Jul → | |
| dust2 | 13–8 | 0.05 | 35% | 11 Jul → | |
| dust2 | 6–13 | -0.02 | 30% | 11 Jul → | |
| nuke | 7–13 | 0.01 | 25% | 11 Jul → | |
| mirage | 3–13 | 0.04 | 18% | 11 Jul → | |
| inferno | 5–13 | -0.06 | 29% | 10 Jul → | |
| train | 3–1 | 0.18 | 31% | 10 Jul → | |
| inferno | 13–9 | 0.08 | 29% | 10 Jul → | |
| dust2 | 15–15 | 0.05 | 30% | 10 Jul → | |
| jura | 11–13 | -0.01 | 19% | 6 Jun → | |
| mirage | 13–1 | 0.09 | 34% | 31 May → | |
| nuke | 9–13 | -0.01 | 17% | 31 May → | |
| anubis | 13–1 | 0.08 | 20% | 18 May → | |
| nuke | 13–10 | 0.04 | 18% | 18 May → | |
| nuke | 13–9 | 0.00 | 29% | 18 May → | |
| nuke | 13–4 | 0.02 | 24% | 10 May → | |
| inferno | 15–15 | 0.04 | 13% | 10 May → | |
| mirage | 13–3 | 0.11 | 22% | 24 Jan → | |
| dust2 | 13–1 | 0.05 | 20% | 20 Apr → | |
| dust2 | 14–16 | 0.01 | 22% | 26 Jul → | |
| dust2 | 11–16 | 0.05 | 24% | 12 Feb → | |
| dust2 | 16–10 | 0.00 | 22% | 28 Apr → |
Match data via Leetify.
