dawnnk

dawnnk — CS2 Stats

NO76561198803036127[U:1:842770399]Steam profile ↗✓ No bans

1,899Tracked matches63%Win rate2020Tracked since
6,704Hours in CS2Hrs last 2 wks
CSDB Rating7.1 StrongAll-Rounder
CSDB Leaderboard#11632 of 257725 tracked
FaceitLevel 10 · 2,744 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 26,234 +628 21 Apr – 3 Oct · 47 days played
22,55727,282peak 27,28221 Apr3 Oct
Faceit ELO: 2,744 +0 29 Aug – 30 Aug · 2 observations
2,7442,744peak 2,74429 Aug30 Aug
27,293Peak Premier in tracked matches
2,744Highest Faceit ELO seen on CSDB
69Days played since 2026-04-21

Faceit ELO

  • At peak — 2,744
  • Next: 3,000 ELO at 3,000 — 256 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-29
  • Level 10 first seen 2026-08-29

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate55.1%50.9%
Shot accuracy12.6%13.7%
Kill/death ratio1.101.09
Match win rate49.3%48.4%

Share this profile

CSDB.GGdawnnkFACEITLevel 10 · 2,744 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,744csdb.gg/stats

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Performance scores

Aim86
Positioning60
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLLLLWWLWWW

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +2.1pp headshot accuracy · −32ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 30%
  • Avg reaction 478ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 509ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 525ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.6
Utility5.1
Positioning6.0
Opening Duels5.8
Clutch4.2

Sharp aimerLimited utility dependence

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

device

Plays most like device 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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 86 — the mechanical foundation is a clear strength.

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 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

Aim8.6
Positioning6.0
Utility5.1
Mechanics6.7
Opening Duels5.1
Win Impact9.4

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time540ms−48ms
first ⅓ avg 588ms → last ⅓ avg 540ms
Headshot accuracy26.6%+1.1%
first ⅓ avg 25.5% → last ⅓ avg 26.6%

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

0.18Best match rating · 11–2 · ancient, 27 Apr →
50%Best headshot accuracy · 0–2 · ancient, 13 Sept →
328msFastest reaction time · 13–1 · nuke, 15 Aug →
13–1Biggest win · nuke, 15 Aug →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L4Current streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 83% over 6infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3315–1845%0.02
ancientA2212–1055%0.02
dust2A149–564%-0.00
nukeA117–464%0.05
infernoD92–722%0.00
anubisS65–183%0.01
overpass—32–167%0.06
cache—21–150%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,981Lifetime kills
1.10K/D · Top 50% of Level 10 players
5,763Matches
49.3%Match win rate · Top 50% of Level 10 players
55.1%Headshot % · Top 50% of Level 10 players
12.6%Shot accuracy
17,239MVPs
3,029Hours (in match)
4,191Bombs planted
2,061Bombs defused

Most-used weapons

AK-4750,146
AWP12,872
Knife5,110
MAC-103,277
MP92,980
AUG2,019

Lifetime map wins

12,503inferno
4,348dust2
3,840nuke
3,208train
2,349vertigo
611cbble
81office
69lake

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

Faceit stats

Combat

3,074Matches
51%Win rate
1.13Avg K/D
79.6ADR
52%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage20749%1.1016.1
Ancient17454%1.1715.7
Anubis13552%1.0815.4
Nuke6757%1.0615.6
Inferno6348%1.0915.6
Dust24762%1.0115.2
Overpass2955%1.0915.9
Train2055%1.0014.7

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.

26.2%Headshot accuracy
35.8%Accuracy (enemy spotted)
38.2%Spray accuracy
80.1%Counter-strafing
8.5°Preaim
542msReaction time
42.3%T opening success
58.6%CT opening success
0.47Enemies flashed / flash
10.0%Flash assists
9.57HE damage / grenade
4.77Flashes / match

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.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4726 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0532%25 Oct →
inferno6–13-0.0141%22 Oct →
inferno7–13-0.0119%21 Oct →
inferno8–13-0.0929%3 Oct →
cache13–2-0.0127%30 Sept →
dust213–7-0.0016%16 Sept →
ancient0–20.0750%13 Sept →
dust213–10-0.0518%9 Sept →
anubis13–70.0429%6 Sept →
dust213–10-0.0234%5 Sept →
ancient13–80.0027%5 Sept →
mirage13–70.0326%2 Sept →
dust213–100.0028%2 Sept →
anubis13–80.0322%1 Sept →
mirage13–60.0839%1 Sept →
nuke13–100.0532%30 Aug →
mirage13–50.0536%30 Aug →
ancient13–60.0344%28 Aug →
ancient10–130.0014%21 Aug →
anubis13–4-0.098%18 Aug →
ancient3–3-0.0229%17 Aug →
mirage3–13-0.0719%17 Aug →
mirage16–140.0122%17 Aug →
nuke13–10.0738%15 Aug →
inferno10–130.0831%14 Aug →
cache10–13-0.0022%13 Aug →
mirage13–20.0610%6 Aug →
ancient11–130.0128%5 Aug →
ancient10–130.0319%31 Jul →
ancient13–70.0625%28 Jul →
mirage4–130.0331%23 Jul →
inferno16–120.0618%22 Jul →
ancient13–7-0.0117%21 Jul →
dust25–13-0.0928%17 Jul →
dust213–110.0822%16 Jul →
dust213–6-0.0225%13 Jul →
ancient13–160.0230%3 Jul →
mirage6–13-0.0635%3 Jul →
ancient13–4-0.0125%30 Jun →
mirage13–90.0323%29 Jun →
mirage13–60.0728%29 Jun →
mirage10–13-0.0419%29 Jun →
mirage13–50.0727%29 Jun →
ancient0–6-0.120%29 Jun →
ancient15–150.0631%28 Jun →
mirage10–130.0828%21 Jun →
overpass8–13-0.0213%17 Jun →
mirage8–130.0318%9 Jun →
anubis13–11-0.0133%8 Jun →
ancient13–9-0.0223%8 Jun →
mirage5–13-0.0025%8 Jun →
inferno5–13-0.0223%7 Jun →
nuke10–130.0229%6 Jun →
anubis13–110.0826%5 Jun →
mirage0–7-0.0833%5 Jun →
ancient16–120.0124%5 Jun →
nuke16–140.0923%4 Jun →
nuke13–110.0336%31 May →
inferno13–30.0640%31 May →
mirage13–2-0.0128%31 May →
inferno9–130.0115%29 May →
dust23–13-0.0329%24 May →
dust213–100.0329%23 May →
dust213–100.0019%22 May →
overpass13–20.0817%22 May →
mirage4–130.0024%22 May →
anubis5–130.0324%21 May →
mirage6–130.1225%21 May →
mirage13–90.0117%21 May →
mirage7–130.0129%21 May →
nuke22–180.0222%18 May →
inferno3–11-0.075%18 May →
mirage15–150.0917%15 May →
dust24–130.0329%13 May →
dust27–13-0.0129%12 May →
mirage13–60.1128%11 May →
mirage10–13-0.0038%10 May →
ancient11–130.0028%9 May →
overpass13–30.1332%8 May →
ancient7–13-0.0133%7 May →
dust215–150.0727%4 May →
nuke13–30.0421%3 May →
mirage13–50.0022%3 May →
mirage11–13-0.0717%2 May →
mirage5–13-0.0225%2 May →
mirage0–13-0.0033%2 May →
mirage10–13-0.0129%1 May →
nuke14–160.0629%28 Apr →
nuke13–20.0728%28 Apr →
mirage13–10.0321%27 Apr →
ancient13–30.0637%27 Apr →
ancient11–20.1823%27 Apr →
mirage13–110.0621%26 Apr →
nuke11–130.0530%26 Apr →
mirage13–30.0630%25 Apr →
ancient13–90.0514%24 Apr →
ancient2–13-0.0333%23 Apr →
dust213–7-0.0441%22 Apr →
ancient13–70.0412%21 Apr →
nuke11–13-0.0018%21 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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