darco

darco — CS2 Stats

GU76561198293059098[U:1:332793370]Steam profile ↗✓ No bans

1,112Tracked matches50%Win rate2020Tracked since
3,665Hours in CS
CSDB Rating5.5 SolidSupport
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,979 → 1,979
+12Tracked matches · now 1,112
−3.3ppWin rate · 53.3% → 50.0%

Rating over time

Premier CS Rating: 20,546 +547 8 Dec – 18 Jan · 7 days played
19,77720,650peak 20,6508 Dec18 Jan
Faceit ELO: 1,979 +0 4 Sept – 16 Sept · 3 observations
1,9791,979peak 1,9794 Sept16 Sept
20,764Peak Premier in tracked matches
1,979Highest Faceit ELO seen on CSDB
60Days played since 2025-12-06

Faceit ELO

  • At peak — 1,979
  • Next: Level 10 at 2,001 — 22 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-04
  • Level 8 first seen 2026-09-04

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.

Share this profile

CSDB.GGdarcoPEAK ELO1,979csdb.gg/stats

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Performance scores

Aim74
Positioning54
Utility59

0–100 skill scores via Leetify.

Recent form

COLD52–45–3Last 10052%Win rateLWLWWLLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −8.4pp headshot accuracy · +38ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 595ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 576ms

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 (+1.2 against its own average).

Aim7.4
Utility5.9
Positioning5.4
Opening Duels3.6
Clutch4.0

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 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

Areas to improve

Reaction time. 561ms 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

Aim7.4
Positioning5.4
Utility5.9
Mechanics5.1
Opening Duels3.1
Win Impact5.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time572ms−34ms
first ⅓ avg 606ms → last ⅓ avg 572ms
Headshot accuracy24.1%+5.2%
first ⅓ avg 18.9% → last ⅓ avg 24.1%

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

0.23Best match rating · 13–0 · mirage, 19 Jun →
52%Best headshot accuracy · 13–7 · dust2, 29 May →
406msFastest reaction time · 5–13 · inferno, 12 Oct →
13–0Biggest win · mirage, 19 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB3016–1453%0.03
dust2B2614–1254%0.01
ancientB1910–953%-0.00
infernoD72–529%0.01
nukeS75–271%0.02
anubisA53–260%0.03
overpass—41–325%-0.01
cache—11–0100%0.07
train—10–10%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

152,198Lifetime kills
1.03K/D · Top 50% of tracked players
5,722Matches
47.1%Match win rate · Top 50% of tracked players
48.1%Headshot % · Top 50% of tracked players
13.5%Shot accuracy · Top 50% of tracked players
19,222MVPs
3,665Hours (in match)
7,130Bombs planted
1,829Bombs defused

Most-used weapons

AK-4754,006
AWP19,929
Knife3,292
FAMAS2,496
MAC-102,109

Lifetime map wins

16,176dust2
7,631inferno
2,339train
1,419nuke
1,382vertigo
459cbble
43lake
42office

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

Faceit stats

Combat

2,201Matches
51%Win rate
1.14Avg K/D
79.4ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage24050%1.1816.6
Dust215450%1.0916.0
Ancient12449%1.0916.4
Inferno7247%1.0215.6
Anubis5145%1.2117.1
Nuke4154%0.9815.1
Overpass1020%1.0215.2
Train757%1.2015.9

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.

24.5%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.3%Spray accuracy
73.0%Counter-strafing
9.3°Preaim
561msReaction time
41.3%T opening success
43.2%CT opening success
0.58Enemies flashed / flash
6.7%Flash assists
6.05HE damage / grenade
11.72Flashes / match

Recommended for you

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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–130.0019%12 Oct →
anubis13–60.1211%12 Oct →
mirage11–130.0419%2 Oct →
mirage13–60.0218%3 Jul →
ancient13–11-0.0117%3 Jul →
overpass11–13-0.0422%25 Jun →
mirage4–13-0.0016%23 Jun →
dust28–130.0023%20 Jun →
mirage7–13-0.0028%20 Jun →
ancient10–13-0.0728%19 Jun →
anubis11–80.0526%19 Jun →
mirage13–00.2317%19 Jun →
dust213–7-0.0328%15 Jun →
nuke11–13-0.0230%8 Jun →
nuke13–20.0741%8 Jun →
mirage9–13-0.0017%6 Jun →
dust213–7-0.0252%29 May →
dust27–13-0.0229%27 May →
dust28–130.0926%24 May →
dust213–11-0.0120%23 May →
overpass5–13-0.0226%23 May →
ancient16–13-0.0029%20 May →
mirage13–90.0229%19 May →
ancient19–16-0.0118%4 May →
mirage13–20.0833%4 May →
mirage10–130.0220%3 May →
cache13–100.0736%3 May →
dust24–130.0216%27 Apr →
inferno11–130.0131%26 Apr →
dust213–100.0213%23 Apr →
mirage13–9-0.0223%23 Apr →
ancient13–100.0220%22 Apr →
nuke9–13-0.0014%22 Apr →
dust213–10-0.0521%18 Apr →
ancient16–120.0721%15 Apr →
mirage13–100.0225%6 Apr →
mirage8–13-0.0218%6 Apr →
mirage13–10-0.0234%5 Apr →
ancient8–13-0.0118%5 Apr →
inferno11–13-0.0227%30 Mar →
dust213–11-0.0310%25 Mar →
mirage11–13-0.0816%21 Mar →
dust27–13-0.0223%21 Mar →
dust214–160.0330%19 Mar →
anubis9–13-0.0527%18 Mar →
mirage13–60.0734%17 Mar →
ancient13–60.0018%4 Mar →
mirage14–16-0.0036%19 Feb →
nuke19–15-0.0123%16 Feb →
anubis13–16-0.0027%15 Feb →
ancient8–13-0.0635%13 Feb →
overpass8–8-0.0619%4 Feb →
dust29–130.0436%4 Feb →
ancient5–130.0421%3 Feb →
ancient1–13-0.0623%3 Feb →
mirage13–90.0321%29 Jan →
mirage5–130.0215%27 Jan →
dust213–60.0515%27 Jan →
inferno13–110.0125%26 Jan →
anubis16–120.0214%21 Jan →
dust213–110.0824%20 Jan →
ancient13–50.0024%19 Jan →
mirage7–13-0.029%19 Jan →
dust27–130.0623%18 Jan →
ancient10–130.0234%13 Jan →
dust24–1-0.1033%13 Jan →
dust211–130.0334%13 Jan →
ancient5–13-0.0119%13 Jan →
mirage13–50.0624%13 Jan →
dust213–90.1133%12 Jan →
ancient13–80.0012%12 Jan →
ancient13–100.0517%8 Jan →
mirage13–60.0825%22 Dec →
dust216–13-0.0316%20 Dec →
mirage13–90.0912%19 Dec →
ancient16–140.0221%19 Dec →
dust28–13-0.0423%17 Dec →
ancient13–160.0113%17 Dec →
dust213–9-0.0119%17 Dec →
dust216–120.0320%15 Dec →
mirage13–50.1527%15 Dec →
mirage15–15-0.0113%15 Dec →
dust213–80.0632%15 Dec →
dust29–130.0418%13 Dec →
ancient10–13-0.0626%11 Dec →
nuke13–110.0124%11 Dec →
mirage13–70.0418%11 Dec →
mirage5–13-0.008%11 Dec →
mirage11–13-0.0830%10 Dec →
inferno13–80.069%8 Dec →
mirage13–80.009%8 Dec →
mirage7–13-0.0312%8 Dec →
nuke13–60.0217%8 Dec →
nuke13–110.0622%8 Dec →
inferno8–8-0.0319%8 Dec →
mirage13–00.1124%7 Dec →
inferno9–130.009%7 Dec →
train10–13-0.0119%7 Dec →
dust25–13-0.0319%6 Dec →
overpass16–140.1016%6 Dec →

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 →

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