Darkest soldier

Darkest soldier — CS2 Stats

76561198941482750[U:1:981217022]Steam profile ↗✓ No bans

1,180Tracked matches57%Win rate2021Tracked since
CSDB Rating5.9 SolidPositional Player
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,180 tracked matches. Play, then come back: the next observation lands here.

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. 26 days played since 15 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 22,421 -48 17 Dec6 Jul · 7 days played
21,82723,650peak 23,65017 Dec6 Jul
23,650Peak Premier in tracked matches
1,756Highest Faceit ELO seen on CSDB
26Days played since 2025-12-15

Faceit ELO

  • At peak — 1,756
  • Next: Level 10 at 2,001 245 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-03
  • Level 8 first seen 2026-09-03

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.GGDarkest soldierPEAK ELO1,756csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75
Positioning53
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY62371Last 10062%Win rateLLWWWWWWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.0pp headshot accuracy · −52ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 594ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 620ms

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: Positional PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim7.5
Utility5.0
Positioning5.3
Opening Duels3.8
Clutch3.6

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 98% 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

T-side openings. Opening success drops from 50% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim7.5
Positioning5.3
Utility5.0
Mechanics8.1
Opening Duels2.6
Win Impact7.2

Composite 5.9/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time649ms+28ms
first ⅓ avg 621ms → last ⅓ avg 649ms
Headshot accuracy22.8%−7.0%
first ⅓ avg 29.9% → last ⅓ avg 22.8%

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

0.28Best match rating · 9–1 · poseidon, 27 Feb
56%Best headshot accuracy · 6–13 · nuke, 18 Dec
406msFastest reaction time · 7–13 · inferno, 6 Jul
13–0Biggest win · stronghold, 16 Feb

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
65In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 78% over 9nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB24131154%0.00
ancientA1811761%-0.00
mirageS97278%0.03
nukeC83538%-0.04
anubisA74357%0.02
overpassB63350%0.02
trainS64267%0.05
poseidon440100%0.12
dust242250%0.00
stronghold32167%0.03
alpine32167%-0.00
warden32167%0.03
cache220100%0.01
sanctum110100%-0.07
italy110100%-0.02
office110100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

171Matches
55%Win rate
1.24Avg K/D
86.1ADR
59%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4050%1.2217.8
Nuke2843%1.0815.3
Ancient2843%1.2418.5
Inferno2259%1.0916.6
Anubis2065%1.1117.2
Train1182%1.9022.0
Dust21164%1.3115.6
Overpass1070%1.4718.7

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.

24.5%Headshot accuracy
33.9%Accuracy (enemy spotted)
38.3%Spray accuracy
86.7%Counter-strafing
11.2°Preaim
622msReaction time
31.0%T opening success
49.8%CT opening success
0.53Enemies flashed / flash
8.0%Flash assists
8.71HE damage / grenade
7.41Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.0201% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0935%26 Aug
anubis14–16-0.0316%19 Aug
ancient13–4-0.0322%18 Aug
cache13–20.0422%18 Aug
ancient13–50.0017%18 Aug
anubis13–8-0.0220%18 Aug
cache13–5-0.0233%6 Jul
anubis13–1-0.0110%6 Jul
inferno7–13-0.0434%6 Jul
inferno10–13-0.0424%6 Jul
ancient13–110.0124%6 Jul
nuke3–13-0.0229%6 Jul
overpass9–130.0221%2 Jul
ancient6–13-0.0131%2 Jul
overpass13–30.0639%24 Jun
inferno13–6-0.0638%24 Jun
ancient13–3-0.0111%24 Jun
inferno8–13-0.0616%22 Jun
ancient13–7-0.0414%22 Jun
overpass10–13-0.0621%22 Jun
anubis8–13-0.0235%22 Jun
inferno13–110.0011%21 May
inferno2–9-0.1524%27 Feb
poseidon9–20.0713%27 Feb
inferno9–50.0313%27 Feb
inferno9–60.0024%27 Feb
sanctum9–4-0.0721%27 Feb
poseidon9–10.2810%27 Feb
poseidon9–6-0.0227%27 Feb
inferno9–20.1327%27 Feb
poseidon9–30.1219%27 Feb
inferno7–90.0536%27 Feb
italy13–4-0.0215%27 Feb
train13–110.1947%26 Feb
ancient6–13-0.0137%25 Feb
nuke13–90.0124%25 Feb
mirage13–70.0212%25 Feb
ancient4–130.0333%20 Feb
inferno4–130.0524%19 Feb
inferno13–80.0419%17 Feb
nuke3–13-0.0424%17 Feb
inferno13–60.0621%17 Feb
mirage13–10.0722%17 Feb
mirage13–80.1120%17 Feb
mirage13–11-0.0321%16 Feb
mirage13–11-0.0331%16 Feb
stronghold13–80.0119%16 Feb
stronghold5–130.0524%16 Feb
stronghold13–00.0515%16 Feb
alpine13–4-0.0121%16 Feb
alpine1–5-0.0350%14 Feb
warden11–13-0.0243%14 Feb
alpine13–30.0345%9 Feb
office13–5-0.0213%9 Feb
warden13–6-0.0128%9 Feb
anubis4–00.2731%8 Feb
anubis2–13-0.0815%8 Feb
anubis13–7-0.0041%8 Feb
mirage13–110.1138%8 Feb
warden13–10.1231%8 Feb
ancient14–160.0120%6 Feb
inferno13–80.0625%3 Feb
dust213–5-0.0122%3 Feb
mirage5–13-0.0222%3 Feb
ancient5–13-0.0743%20 Dec
overpass3–13-0.0629%20 Dec
overpass13–100.0229%19 Dec
inferno13–4-0.0037%19 Dec
ancient13–50.0035%19 Dec
nuke16–13-0.0333%19 Dec
nuke6–13-0.0456%18 Dec
inferno9–13-0.0829%18 Dec
ancient16–13-0.0117%18 Dec
ancient13–2-0.0029%17 Dec
ancient13–40.0815%17 Dec
inferno7–130.0021%17 Dec
ancient3–13-0.0139%17 Dec
nuke13–6-0.0623%17 Dec
inferno4–9-0.0324%17 Dec
ancient13–80.0327%17 Dec
train19–160.0634%17 Dec
mirage5–13-0.0140%17 Dec
ancient13–50.0133%17 Dec
dust28–130.0342%17 Dec
train13–40.0423%16 Dec
nuke8–13-0.0432%16 Dec
train13–30.1123%16 Dec
inferno13–40.0521%16 Dec
mirage13–40.0030%16 Dec
dust28–13-0.0150%16 Dec
inferno6–13-0.0422%16 Dec
dust213–40.0123%16 Dec
overpass13–30.1221%16 Dec
train9–13-0.0433%16 Dec
inferno19–16-0.0123%15 Dec
ancient11–13-0.0422%15 Dec
inferno9–40.1026%15 Dec
inferno8–80.0525%15 Dec
inferno13–10-0.0038%15 Dec
train10–13-0.0339%15 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 →