Dalnatix

Dalnatix — CS2 Stats

MG76561198964200065[U:1:1003934337]Steam profile ↗✓ No bans

1,541Tracked matches62%Win rate2022Tracked since
2,005Hours in CS0Hrs last 2 wks
CSDB Rating8.0 StrongOpening Duellist
Premier CS Rating17,104Purple band · top ~20% of ranked players (population est.)
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,104 +2,444 4 Aug – 8 Oct · 17 days played
14,66017,819peak 17,8194 Aug8 Oct
17,819Peak Premier in tracked matches
39Days played since 2026-07-07

Premier CS Rating

  • 715 below peak (17,819)
  • +1,224 over 30 days · improving
  • Next: Pink band at 20,000 — 2,896 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=42,517), 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.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate60.6%44.4%46.9%above
Shot accuracy4.9%11.8%13.0%8.1% short
Kill/death ratio1.371.031.08above
Match win rate56.4%45.3%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDalnatixPREMIER17,104 · Purple bandcsdb.gg/stats

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Performance scores

Aim91
Positioning75
Utility57

0–100 skill scores via Leetify.

Recent form

COLD58–38–4Last 10058%Win rateLWTLLWLWTL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.7pp headshot accuracy · −39ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 31%
  • Avg reaction 538ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 29%
  • Avg reaction 533ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 28%
  • Avg reaction 552ms

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 (+1.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.1
Utility5.7
Positioning7.5
Opening Duels8.3
Clutch4.2

Sharp aimer

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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

T openings. 80% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 80% on T to 57% on CT — first contacts on the defending side are being lost.

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

Aim9.1
Positioning7.5
Utility5.7
Mechanics7.8
Opening Duels8.4
Win Impact9.0

Composite 8.0/10 (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

Match rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time543ms−71ms
first ⅓ avg 614ms → last ⅓ avg 543ms
Headshot accuracy28.6%+1.6%
first ⅓ avg 27.1% → last ⅓ avg 28.6%

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

0.24Best match rating · 9–5 · inferno, 22 Oct →
44%Best headshot accuracy · 13–6 · ancient, 19 Aug →
336msFastest reaction time · 1–11 · anubis, 8 Oct →
13–0Biggest win · vertigo, 4 Aug →

Across the last 100 tracked matches.

Highlights

11Longest win streak
3–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA1911–858%0.05
infernoB157–847%0.02
cacheA149–564%0.07
ancientS118–373%0.09
anubisS107–370%0.04
mirageC94–544%0.03
officeA85–363%0.05
dust2D72–529%0.05
vertigo—43–175%0.14
train—21–150%0.00
shelter—11–0100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,007Lifetime kills
1.37K/D · Top 10% of Purple band
2,437Matches
56.4%Match win rate · Top 5% of Purple band
60.6%Headshot % · Top 5% of Purple band
4.9%Shot accuracy
9,792MVPs
920Hours (in match)
2,530Bombs planted
649Bombs defused

Most-used weapons

AK-4722,459
MP92,796
AWP1,666
MAC-101,566
Knife838

Lifetime map wins

3,791vertigo
3,107inferno
2,034nuke
1,324office
915dust2
286cbble
268train
246lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

232Matches
51%Win rate
1.28Avg K/D
90.8ADR
59%Headshot %

Clutches & streaks

41%1v1 clutch win
32%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6252%1.3018.4
Anubis5038%1.1017.3
Nuke4060%1.3518.3
Inferno2955%1.2820.0
Dust22348%1.3617.6
Ancient2255%1.4020.4
Train2100%1.4216.0
Vertigo2100%1.9019.0

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.

28.5%Headshot accuracy
38.4%Accuracy (enemy spotted)
38.9%Spray accuracy
85.2%Counter-strafing
9.5°Preaim
534msReaction time
79.9%T opening success
57.3%CT opening success
0.66Enemies flashed / flash
20.2%Flash assists
4.92HE damage / grenade
5.08Flashes / match

Recommended for you

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–90.0035%5 Nov →
inferno9–50.2428%22 Oct →
vertigo12–120.1239%17 Oct →
nuke3–130.0525%8 Oct →
nuke2–13-0.0129%8 Oct →
nuke13–50.0129%8 Oct →
anubis1–11-0.0116%8 Oct →
mirage13–4-0.0033%8 Oct →
inferno8–80.1126%6 Oct →
dust29–130.0828%5 Oct →
cache5–130.0117%5 Oct →
cache13–30.0929%1 Oct →
dust213–80.0325%1 Oct →
cache4–130.1141%1 Oct →
office13–30.1136%30 Sept →
vertigo13–60.0327%28 Sept →
cache13–8-0.0219%24 Sept →
cache25–280.0324%23 Sept →
inferno5–9-0.0224%23 Sept →
nuke13–20.0939%22 Sept →
cache6–130.0222%22 Sept →
ancient13–80.1134%21 Sept →
cache13–70.1023%21 Sept →
anubis13–20.0327%21 Sept →
nuke13–110.0624%19 Sept →
ancient13–110.0127%19 Sept →
inferno13–110.0029%18 Sept →
nuke10–130.0332%18 Sept →
anubis13–30.0033%17 Sept →
nuke5–130.0627%17 Sept →
ancient11–130.0633%17 Sept →
cache13–90.1435%15 Sept →
ancient13–40.0631%15 Sept →
anubis13–40.1430%15 Sept →
ancient13–100.0737%14 Sept →
cache13–100.0925%14 Sept →
dust213–70.2035%11 Sept →
mirage13–50.1031%11 Sept →
cache13–60.1124%11 Sept →
dust24–130.0327%11 Sept →
inferno4–9-0.0230%11 Sept →
cache11–130.0731%10 Sept →
dust25–13-0.0339%10 Sept →
inferno3–13-0.0425%10 Sept →
nuke13–60.0534%10 Sept →
ancient11–130.0630%8 Sept →
anubis1–13-0.0424%8 Sept →
nuke13–60.1432%8 Sept →
mirage10–130.0920%3 Sept →
mirage10–13-0.0313%3 Sept →
office9–130.1140%3 Sept →
office9–130.0332%3 Sept →
ancient13–80.1132%1 Sept →
cache13–50.0028%1 Sept →
nuke13–70.0621%1 Sept →
ancient6–130.0926%1 Sept →
anubis5–13-0.0124%1 Sept →
office13–8-0.0132%29 Aug →
office13–80.0028%29 Aug →
inferno9–50.0931%29 Aug →
anubis13–40.1222%22 Aug →
nuke13–90.1622%22 Aug →
cache13–100.0633%19 Aug →
ancient13–60.1544%19 Aug →
train13–30.0738%18 Aug →
nuke9–4-0.0619%18 Aug →
inferno9–30.1432%18 Aug →
vertigo13–80.2234%8 Aug →
office12–120.0421%7 Aug →
train6–13-0.0624%7 Aug →
ancient13–20.1740%7 Aug →
inferno9–50.0529%7 Aug →
vertigo13–00.2035%4 Aug →
anubis13–70.1228%4 Aug →
anubis13–60.0032%28 Jul →
inferno0–9-0.280%28 Jul →
dust24–130.0633%23 Jul →
inferno9–13-0.0423%23 Jul →
anubis13–60.0223%23 Jul →
dust25–13-0.0130%23 Jul →
nuke13–70.1523%18 Jul →
inferno13–10.0317%18 Jul →
nuke13–60.1442%18 Jul →
inferno9–20.0921%18 Jul →
shelter13–80.1036%17 Jul →
mirage10–130.0233%14 Jul →
nuke13–60.0527%14 Jul →
nuke9–13-0.1018%14 Jul →
ancient13–70.0623%14 Jul →
mirage15–150.0027%11 Jul →
mirage8–13-0.0619%11 Jul →
nuke7–13-0.0222%9 Jul →
nuke6–13-0.0624%9 Jul →
mirage13–40.0839%9 Jul →
mirage13–90.0319%9 Jul →
nuke10–130.1228%9 Jul →
inferno4–9-0.0440%8 Jul →
office13–70.0719%8 Jul →
office13–20.0530%8 Jul →
cache13–60.1633%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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