DGGx

DGGx — CS2 Stats

BR76561198058035351[U:1:97769623]Steam profile ↗✓ No bans

1,086Tracked matches43%Win rate2020Tracked since
6,090Hours in CS29Hrs last 2 wks
CSDB Rating5.3 DevelopingAll-Rounder
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 1,086
−19.2ppWin rate · 62.1% → 42.9%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 45 days played since 28 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,814 -185 4 May17 May · 5 days played
23,81424,239peak 24,2394 May17 May
24,239Peak Premier in tracked matches
45Days played since 2026-04-28

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

Performance scores

Aim63
Positioning53
Utility57

0–100 skill scores via Leetify.

Recent form

COLD47467Last 10047%Win rateLLLLLLLWLW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +0.7pp headshot accuracy · +14ms reaction

Win rate down 30pp 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

  • 05 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 572ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 604ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim6.3
Utility5.7
Positioning5.3
Opening Duels3.9

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

jL

Plays most like jL 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 586ms 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

Aim6.3
Positioning5.3
Utility5.7
Mechanics4.8
Opening Duels4.7
Win Impact2.6

Composite 5.3/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time577ms−64ms
first ⅓ avg 641ms → last ⅓ avg 577ms
Headshot accuracy16.7%−2.7%
first ⅓ avg 19.4% → last ⅓ avg 16.7%

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

0.16Best match rating · 8–0 · cache, 1 May
43%Best headshot accuracy · 2–9 · inferno, 31 Aug
391msFastest reaction time · 8–13 · inferno, 9 Jul
13–1Biggest win · ancient, 31 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L7Current streak
99In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 54% over 35ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB35191654%-0.00
mirageB28141450%-0.01
infernoC2391439%-0.01
ancientD51420%0.00
dust242250%-0.02
anubis21150%-0.02
overpass21150%0.00
debris1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,494Lifetime kills
1.07K/D · Top 50% of tracked players
2,697Matches
50.9%Match win rate · Top 25% of tracked players
49.5%Headshot % · Top 25% of tracked players
10.5%Shot accuracy
8,010MVPs
1,132Hours (in match)
2,657Bombs planted
659Bombs defused

Most-used weapons

AK-4720,415
AWP3,859
MP91,420
MAC-101,283
FAMAS1,243

Lifetime map wins

6,559inferno
2,000train
1,308dust2
748vertigo
550nuke
129cbble
84office
62lake

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.

16.8%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.8%Spray accuracy
71.7%Counter-strafing
10.2°Preaim
586msReaction time
54.8%T opening success
43.2%CT opening success
0.53Enemies flashed / flash
10.8%Flash assists
8.66HE damage / grenade
9.45Flashes / 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0712%22 Sept
inferno10–13-0.0318%21 Sept
mirage4–13-0.084%21 Sept
mirage11–130.0120%21 Sept
mirage1–13-0.1021%19 Sept
inferno6–13-0.0425%19 Sept
mirage4–13-0.0714%19 Sept
mirage13–2-0.0321%18 Sept
mirage14–16-0.0518%17 Sept
inferno13–110.0717%16 Sept
mirage17–19-0.0211%16 Sept
inferno13–90.0234%16 Sept
inferno9–13-0.0413%15 Sept
cache13–6-0.0015%14 Sept
mirage12–120.0315%13 Sept
mirage11–13-0.0113%12 Sept
mirage7–13-0.0811%12 Sept
anubis13–70.0110%10 Sept
inferno13–80.0717%9 Sept
inferno13–110.0123%9 Sept
mirage16–140.0120%8 Sept
mirage13–9-0.0210%7 Sept
cache7–130.0121%7 Sept
mirage13–110.0320%7 Sept
inferno12–120.0613%7 Sept
debris6–9-0.0211%7 Sept
mirage13–100.0316%5 Sept
inferno10–13-0.049%4 Sept
inferno9–13-0.0512%3 Sept
cache5–13-0.0232%3 Sept
inferno13–80.1024%2 Sept
ancient2–13-0.055%2 Sept
inferno10–13-0.0728%2 Sept
ancient13–10.0522%31 Aug
inferno2–9-0.1243%31 Aug
cache7–13-0.0723%30 Aug
mirage13–8-0.029%28 Aug
cache16–13-0.0115%28 Aug
mirage13–9-0.0223%28 Aug
inferno13–60.0216%26 Aug
mirage13–10.0213%26 Aug
ancient9–13-0.038%26 Aug
ancient10–130.0315%24 Aug
cache13–70.0035%22 Aug
inferno16–120.0011%22 Aug
mirage13–11-0.0118%22 Aug
mirage16–140.008%21 Aug
cache8–13-0.0713%21 Aug
inferno7–13-0.0410%19 Aug
inferno13–60.058%19 Aug
mirage3–13-0.0529%18 Aug
inferno3–13-0.0817%9 Jul
dust213–10-0.0418%9 Jul
inferno8–13-0.0710%9 Jul
inferno9–13-0.0116%7 Jul
cache6–13-0.0610%20 Jun
mirage12–120.0017%20 Jun
anubis9–13-0.0429%31 May
overpass13–40.0313%31 May
ancient16–190.018%20 May
mirage13–60.0119%20 May
cache12–12-0.0312%17 May
mirage13–100.0517%17 May
mirage14–16-0.0312%17 May
cache13–60.0514%16 May
cache13–9-0.0025%16 May
dust210–130.0113%16 May
cache10–130.0522%16 May
mirage13–110.0415%15 May
mirage12–120.0910%9 May
cache13–100.0216%9 May
cache3–13-0.0913%9 May
cache13–80.0811%9 May
cache9–130.0118%9 May
cache13–11-0.049%9 May
overpass9–13-0.0216%7 May
dust211–13-0.0712%7 May
dust213–110.0311%5 May
mirage13–20.0810%4 May
inferno7–13-0.0321%4 May
cache5–13-0.0330%3 May
cache13–6-0.0329%3 May
cache13–8-0.0317%3 May
cache13–60.0325%3 May
cache13–30.0734%3 May
cache9–13-0.0323%3 May
cache13–3-0.0214%2 May
cache13–5-0.0232%2 May
cache7–130.0436%2 May
mirage11–13-0.0619%1 May
inferno10–20.0336%1 May
cache8–00.1610%1 May
cache13–40.0019%1 May
cache11–13-0.0520%1 May
cache13–10-0.0616%1 May
cache13–60.0531%1 May
cache7–13-0.0219%30 Apr
cache12–12-0.0418%29 Apr
cache13–30.0317%28 Apr
cache12–12-0.0112%28 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →