dawg2k

dawg2k — CS2 Stats

NO76561198135960340[U:1:175694612]Steam profile ↗✓ No bans

912Tracked matches43%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 912 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,914 +281 19 Mar – 27 Mar · 2 days played
21,63321,914peak 21,91419 Mar27 Mar
21,914Peak Premier in tracked matches
1,704Highest Faceit ELO seen on CSDB
42Days played since 2026-01-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGdawg2kFACEITLevel 7STANDINGTop 42.3% of rankedPEAK ELO1,704csdb.gg/stats

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Performance scores

Aim66
Positioning68
Utility68

0–100 skill scores via Leetify.

Recent form

COLD50–50Last 10050%Win rateLLLWLLLLWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −2.8pp headshot accuracy · −60ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 523ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 571ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 601ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim6.6
Utility6.8
Positioning6.8
Opening Duels6.2
Clutch3.0

Effective 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

ZywOo

Plays most like ZywOo 77% 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. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim6.6
Positioning6.8
Utility6.8
Mechanics5.4
Opening Duels5.5
Win Impact2.8

Composite 6.0/10 (Solid), 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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time616ms+18ms
first ⅓ avg 598ms → last ⅓ avg 616ms
Headshot accuracy16.6%+5.2%
first ⅓ avg 11.4% → last ⅓ avg 16.6%

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

0.15Best match rating · 13–3 · inferno, 19 Feb →
38%Best headshot accuracy · 13–6 · dust2, 4 Feb →
438msFastest reaction time · 13–11 · inferno, 14 Mar →
13–1Biggest win · inferno, 12 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
5–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 63% over 19ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%0.03
dust2B1910–953%0.03
nukeA1811–761%0.04
mirageC156–940%0.03
anubisC94–544%0.03
ancientD62–433%0.01
cache_bB63–350%0.02
cache—42–250%-0.00
overpass—30–30%0.01
train—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

336Matches
56%Win rate
1.09Avg K/D
76.0ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2989%1.1715.2
Nuke862%1.2414.8
Ancient683%1.0314.3
Mirage560%0.9713.6
Inferno475%1.1215.0
Vertigo1100%1.1218.0
Anubis1100%1.5323.0
Overpass10%1.0015.0

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.

16.7%Headshot accuracy
38.1%Accuracy (enemy spotted)
41.6%Spray accuracy
74.4%Counter-strafing
11.2°Preaim
620msReaction time
43.8%T opening success
60.4%CT opening success
0.75Enemies flashed / flash
7.1%Flash assists
7.23HE damage / grenade
10.43Flashes / match

Recommended for you

Spend your practice time on Ancient

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 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–130.1015%4 Sept →
dust21–6-0.0517%4 Sept →
dust27–130.0818%21 Aug →
inferno13–110.0119%21 Aug →
dust28–130.0314%21 Aug →
mirage10–130.1018%15 Aug →
cache5–13-0.0117%15 Aug →
dust210–130.0115%15 Aug →
cache13–60.0313%6 Aug →
mirage2–13-0.0822%6 Aug →
inferno7–13-0.0420%6 Aug →
cache4–13-0.0616%27 Jul →
mirage13–6-0.0226%27 Jul →
nuke9–130.0314%3 Jul →
mirage6–13-0.0026%31 May →
dust211–130.0821%30 May →
nuke13–70.0221%30 May →
inferno13–30.049%30 May →
dust213–70.1326%29 May →
train8–13-0.0617%29 May →
mirage19–150.0620%29 May →
dust213–90.0413%29 May →
ancient16–130.0713%8 May →
nuke8–13-0.0213%8 May →
anubis10–130.0822%6 May →
cache13–40.027%5 May →
mirage13–30.1314%28 Apr →
dust216–140.0113%28 Apr →
nuke13–60.1512%24 Apr →
anubis10–130.109%24 Apr →
inferno13–4-0.0315%24 Apr →
dust28–13-0.0515%23 Apr →
nuke9–130.0116%18 Apr →
overpass8–13-0.0115%18 Apr →
inferno13–40.0613%15 Apr →
dust26–13-0.0121%15 Apr →
cache_b13–70.0722%14 Apr →
dust213–40.0417%14 Apr →
inferno13–10.1417%12 Apr →
mirage11–20.1114%12 Apr →
inferno4–13-0.0316%1 Apr →
nuke16–130.1314%1 Apr →
ancient4–13-0.044%1 Apr →
ancient13–100.0120%27 Mar →
mirage6–130.0114%27 Mar →
mirage19–22-0.0012%20 Mar →
mirage13–70.0512%19 Mar →
inferno13–100.0414%19 Mar →
mirage4–130.0923%14 Mar →
nuke13–11-0.0311%14 Mar →
anubis13–70.0714%14 Mar →
inferno13–110.0213%14 Mar →
dust28–130.0529%10 Mar →
anubis7–13-0.0410%10 Mar →
nuke7–13-0.0220%10 Mar →
nuke10–13-0.0220%8 Mar →
overpass5–13-0.0030%5 Mar →
dust213–7-0.0112%5 Mar →
mirage2–130.0319%5 Mar →
anubis8–13-0.0113%2 Mar →
inferno8–130.0416%2 Mar →
inferno4–13-0.0332%25 Feb →
dust213–60.1028%24 Feb →
anubis4–13-0.0325%24 Feb →
nuke13–70.0213%24 Feb →
anubis13–20.024%20 Feb →
nuke13–10.1110%20 Feb →
mirage7–13-0.0319%19 Feb →
anubis13–100.0616%19 Feb →
inferno13–30.1515%19 Feb →
inferno13–100.0719%13 Feb →
overpass9–130.059%13 Feb →
cache_b2–130.0013%13 Feb →
mirage8–130.0015%12 Feb →
nuke10–13-0.0016%12 Feb →
dust28–13-0.0011%12 Feb →
dust213–3-0.0017%5 Feb →
mirage13–70.0215%4 Feb →
cache_b11–130.0611%4 Feb →
dust213–60.0338%4 Feb →
inferno5–13-0.0232%4 Feb →
nuke4–13-0.0212%4 Feb →
nuke13–110.0919%1 Feb →
nuke13–80.0614%30 Jan →
dust213–90.0919%30 Jan →
inferno13–90.0519%30 Jan →
nuke13–80.0912%29 Jan →
cache_b13–100.1014%29 Jan →
inferno11–13-0.027%29 Jan →
ancient4–130.0218%28 Jan →
ancient4–130.000%24 Jan →
nuke13–40.060%24 Jan →
inferno16–120.020%24 Jan →
cache_b3–13-0.060%24 Jan →
dust213–50.060%23 Jan →
inferno13–80.040%23 Jan →
nuke13–60.020%23 Jan →
anubis13–70.000%23 Jan →
ancient9–13-0.020%23 Jan →
cache_b13–7-0.030%23 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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