COLON — CS2 Stats
DK76561197961657509[U:1:1391781]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 18 Sep 2026 (5 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. 68 days played since 5 Mar 2024. Come back after the next session and the change shows above.
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Rating over time
Faceit ELO
- At peak — 3,105
- Next: 3,500 ELO at 3,500 — 395 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-30
- 2,500 ELO first seen 2026-08-30
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.
Compare periods
Last 7 days vs previous 7
| Metric | Last 7 | Previous 7 | Change |
|---|---|---|---|
| Matches | 1 | 18 | −17 |
| Win rate | 0% | 56% | −56pp |
| K/D | 0.85 | 1.26 | −0.41 |
| Headshot % | 47% | 50% | −3pp |
Measured 18 Sep 2026 → 23 Sep 2026; previous 10 Sep 2026 → 18 Sep 2026.
Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=28,192), 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 10 median |
|---|---|---|
| Headshot rate | 49.5% | 51.0% |
| Shot accuracy | 17.8% | 13.7% |
| Kill/death ratio | 1.11 | 1.09 |
| Match win rate | 48.7% | 48.4% |
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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 · +1.7pp headshot accuracy · +29ms reaction
Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.
Last 5 · 10 · 20 matches
Last 5
- 0–5 · 0% win rate
- Avg rating 0.03
- Avg headshot accuracy 22%
- Avg reaction 474ms
Last 10
- 3–7 · 30% win rate
- Avg rating 0.03
- Avg headshot accuracy 29%
- Avg reaction 538ms
Last 20
- 6–14 · 30% win rate
- Avg rating 0.02
- Avg headshot accuracy 29%
- Avg reaction 523ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+0.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.
Sharp aimerEffective 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 86% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: lower positioning profile; lower opening-duel success.
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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 59% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 ancient | B | 19 | 9–10 | 47% | 0.01 |
 nuke | S | 17 | 12–5 | 71% | 0.04 |
 dust2 | A | 15 | 9–6 | 60% | 0.03 |
 mirage | A | 12 | 7–5 | 58% | 0.01 |
 inferno | C | 9 | 4–5 | 44% | 0.01 |
 anubis | D | 9 | 3–6 | 33% | 0.01 |
 train | C | 7 | 3–4 | 43% | 0.01 |
 vertigo | B | 6 | 3–3 | 50% | 0.04 |
 overpass | S | 6 | 4–2 | 67% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 448 | 48% | 1.24 | 17.8 |
| Nuke | 432 | 60% | 1.28 | 18.2 |
| Ancient | 367 | 53% | 1.23 | 17.5 |
| Dust2 | 278 | 55% | 1.22 | 17.8 |
| Inferno | 264 | 53% | 1.21 | 17.2 |
| Anubis | 255 | 55% | 1.20 | 17.1 |
| Vertigo | 199 | 50% | 1.21 | 18.0 |
| Overpass | 151 | 53% | 1.25 | 17.8 |
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
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 | |
|---|---|---|---|---|---|
| mirage | 7–13 | 0.09 | 21% | 25 Aug → | |
| dust2 | 7–13 | -0.02 | 23% | 23 Aug → | |
| inferno | 7–13 | 0.00 | 26% | 23 Aug → | |
| vertigo | 23–25 | 0.02 | 19% | 16 Aug → | |
| dust2 | 10–13 | 0.04 | 21% | 16 Aug → | |
| anubis | 13–10 | 0.05 | 31% | 19 May → | |
| dust2 | 13–3 | 0.12 | 33% | 17 May → | |
| inferno | 11–13 | -0.01 | 31% | 30 Mar → | |
| dust2 | 2–13 | -0.02 | 43% | 3 Mar → | |
| nuke | 13–1 | 0.09 | 45% | 26 Feb → | |
| dust2 | 13–7 | 0.08 | 19% | 16 Feb → | |
| nuke | 7–13 | -0.04 | 28% | 16 Feb → | |
| mirage | 2–13 | -0.01 | 31% | 26 Jan → | |
| dust2 | 10–13 | 0.02 | 24% | 26 Jan → | |
| inferno | 5–13 | -0.04 | 36% | 18 Jan → | |
| dust2 | 13–7 | 0.05 | 24% | 12 Jan → | |
| ancient | 4–13 | -0.01 | 27% | 12 Jan → | |
| inferno | 6–13 | -0.02 | 36% | 12 Jan → | |
| dust2 | 13–8 | 0.03 | 19% | 14 Dec → | |
| train | 13–16 | -0.00 | 32% | 25 Nov → | |
| ancient | 13–11 | -0.01 | 17% | 24 Nov → | |
| ancient | 13–6 | 0.05 | 23% | 10 Nov → | |
| train | 12–16 | -0.00 | 51% | 25 Sept → | |
| train | 13–11 | 0.03 | 69% | 25 Sept → | |
| overpass | 13–9 | 0.06 | 17% | 11 Sept → | |
| ancient | 8–13 | -0.03 | 21% | 11 Sept → | |
| overpass | 13–4 | 0.09 | 19% | 10 Sept → | |
| train | 10–13 | -0.03 | 41% | 10 Sept → | |
| dust2 | 11–12 | -0.01 | 17% | 31 Aug → | |
| train | 13–10 | 0.05 | 29% | 19 Aug → | |
| overpass | 9–13 | -0.02 | 29% | 15 Aug → | |
| nuke | 13–4 | 0.13 | 36% | 11 Aug → | |
| nuke | 13–5 | 0.09 | 25% | 30 Jul → | |
| nuke | 13–6 | 0.16 | 26% | 26 Jul → | |
| overpass | 16–14 | 0.09 | 29% | 22 Jul → | |
| inferno | 13–10 | 0.01 | 23% | 12 Jul → | |
| nuke | 10–13 | -0.10 | 13% | 2 Jul → | |
| train | 10–13 | -0.01 | 25% | 1 Jul → | |
| inferno | 13–9 | 0.02 | 21% | 25 Jun → | |
| dust2 | 13–4 | 0.04 | 27% | 15 Jun → | |
| mirage | 13–11 | 0.02 | 31% | 14 Jun → | |
| anubis | 8–13 | 0.01 | 24% | 10 Jun → | |
| dust2 | 13–8 | 0.01 | 38% | 20 May → | |
| inferno | 13–6 | 0.11 | 31% | 16 May → | |
| ancient | 13–11 | 0.06 | 25% | 4 May → | |
| anubis | 13–7 | 0.04 | 28% | 28 Apr → | |
| ancient | 13–11 | -0.01 | 20% | 20 Apr → | |
| dust2 | 12–16 | 0.01 | 22% | 20 Apr → | |
| dust2 | 13–5 | 0.05 | 38% | 15 Apr → | |
| train | 13–11 | 0.01 | 27% | 3 Apr → | |
| ancient | 13–4 | 0.04 | 27% | 18 Mar → | |
| mirage | 9–13 | -0.01 | 29% | 23 Feb → | |
| nuke | 13–6 | 0.02 | 27% | 11 Feb → | |
| vertigo | 13–11 | 0.07 | 28% | 4 Nov → | |
| nuke | 16–13 | 0.08 | 38% | 3 Nov → | |
| mirage | 3–13 | -0.01 | 33% | 29 Oct → | |
| ancient | 10–13 | 0.01 | 19% | 26 Oct → | |
| nuke | 13–4 | 0.03 | 20% | 1 Oct → | |
| anubis | 6–13 | -0.06 | 22% | 21 Sept → | |
| mirage | 6–1 | -0.03 | 33% | 8 Sept → | |
| dust2 | 13–9 | 0.08 | 28% | 22 Aug → | |
| inferno | 10–13 | 0.02 | 39% | 20 Aug → | |
| anubis | 2–13 | -0.06 | 37% | 28 Jul → | |
| vertigo | 13–16 | -0.05 | 20% | 5 Jul → | |
| anubis | 11–13 | 0.01 | 30% | 30 Jun → | |
| nuke | 16–12 | 0.09 | 30% | 8 Jun → | |
| mirage | 7–13 | -0.01 | 16% | 29 May → | |
| nuke | 19–17 | 0.07 | 24% | 28 May → | |
| nuke | 7–13 | -0.03 | 32% | 28 May → | |
| ancient | 7–13 | -0.02 | 17% | 13 May → | |
| dust2 | 13–10 | 0.02 | 27% | 5 May → | |
| ancient | 9–13 | 0.06 | 15% | 25 Apr → | |
| mirage | 13–6 | -0.02 | 26% | 11 Apr → | |
| ancient | 13–7 | -0.03 | 26% | 10 Mar → | |
| mirage | 13–11 | 0.05 | 30% | 10 Mar → | |
| nuke | 9–13 | 0.05 | 13% | 10 Mar → | |
| anubis | 13–16 | -0.02 | 14% | 10 Mar → | |
| ancient | 13–5 | 0.06 | 14% | 10 Mar → | |
| overpass | 6–13 | 0.02 | 44% | 10 Mar → | |
| vertigo | 13–10 | 0.08 | 14% | 10 Mar → | |
| nuke | 5–13 | -0.06 | 17% | 10 Mar → | |
| inferno | 13–6 | 0.03 | 21% | 10 Mar → | |
| mirage | 16–13 | 0.03 | 30% | 10 Mar → | |
| ancient | 13–9 | -0.01 | 27% | 9 Mar → | |
| overpass | 13–8 | 0.06 | 25% | 9 Mar → | |
| vertigo | 16–13 | 0.08 | 32% | 9 Mar → | |
| anubis | 13–7 | 0.12 | 25% | 9 Mar → | |
| ancient | 2–13 | -0.03 | 23% | 9 Mar → | |
| anubis | 11–13 | -0.01 | 14% | 9 Mar → | |
| ancient | 3–13 | -0.06 | 19% | 9 Mar → | |
| ancient | 6–13 | -0.07 | 26% | 8 Mar → | |
| nuke | 13–10 | 0.03 | 28% | 7 Mar → | |
| mirage | 13–5 | -0.03 | 40% | 7 Mar → | |
| nuke | 13–11 | -0.01 | 38% | 7 Mar → | |
| ancient | 5–13 | -0.01 | 26% | 7 Mar → | |
| vertigo | 12–16 | 0.01 | 18% | 7 Mar → | |
| ancient | 11–13 | 0.03 | 20% | 7 Mar → | |
| nuke | 16–14 | 0.02 | 49% | 6 Mar → | |
| mirage | 13–10 | 0.08 | 45% | 6 Mar → | |
| ancient | 19–16 | 0.10 | 36% | 5 Mar → |
Match data via Leetify.
