Darkslingerr124

Darkslingerr124 — CS2 Stats

SX76561198130629904[U:1:170364176]Steam profile ↗✓ No bans

919Tracked matches52%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating18,288Purple band · top ~15.3% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,288 +641 14 Jul – 25 Oct · 40 days played
16,68619,258peak 19,25814 Jul25 Oct
19,258Peak Premier in tracked matches
38Days played since 2026-07-14

Premier CS Rating

  • 970 below peak (19,258)
  • +1,334 over 30 days · improving
  • -970 over 90 days
  • Next: Pink band at 20,000 — 1,712 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGDarkslingerr124PREMIER18,288 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning56
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWWWLWWLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −5.0pp headshot accuracy · +49ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 545ms

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 Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim8.2
Utility4.9
Positioning5.6
Opening Duels3.7

Limited 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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.2
Positioning5.6
Utility4.9
Mechanics7.1
Opening Duels4.3
Win Impact5.6

Composite 6.4/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time545ms−76ms
first ⅓ avg 621ms → last ⅓ avg 545ms
Headshot accuracy21.5%+2.2%
first ⅓ avg 19.3% → last ⅓ avg 21.5%

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 · 13–4 · dust2, 1 Aug →
50%Best headshot accuracy · 4–13 · inferno, 26 Sept →
375msFastest reaction time · 13–4 · dust2, 1 Aug →
13–0Biggest win · inferno, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 60% over 10ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2814–1450%0.02
mirageA2816–1257%0.03
cacheA1810–856%0.02
infernoA106–460%0.02
ancientD92–722%-0.01
nuke—41–325%-0.08
anubis—32–167%0.04

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.4%Headshot accuracy
37.4%Accuracy (enemy spotted)
39.6%Spray accuracy
82.1%Counter-strafing
9.9°Preaim
546msReaction time
49.0%T opening success
45.2%CT opening success
0.57Enemies flashed / flash
5.9%Flash assists
14.78HE damage / grenade
3.20Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2038 — below the 4 mark we flag

    Grenade Lineups →
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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0312%25 Oct →
inferno13–00.1418%25 Oct →
mirage13–60.1624%25 Oct →
inferno13–8-0.0618%25 Oct →
dust214–16-0.0625%21 Oct →
mirage13–90.0619%21 Oct →
cache13–4-0.0119%21 Oct →
inferno10–13-0.0518%10 Oct →
mirage13–90.0024%10 Oct →
mirage11–13-0.0023%3 Oct →
mirage13–6-0.0225%3 Oct →
inferno13–110.0312%2 Oct →
inferno13–110.0823%2 Oct →
inferno4–13-0.0350%26 Sept →
mirage13–70.0720%25 Sept →
dust27–130.0325%25 Sept →
mirage9–130.0112%24 Sept →
inferno13–50.1118%24 Sept →
mirage13–20.1330%24 Sept →
dust21–13-0.0533%24 Sept →
ancient14–160.0120%19 Sept →
ancient12–16-0.0117%3 Sept →
nuke13–2-0.088%3 Sept →
dust213–60.0415%2 Sept →
dust23–13-0.0433%2 Sept →
ancient2–13-0.1212%2 Sept →
dust211–130.0119%2 Sept →
inferno15–150.0020%1 Sept →
mirage13–90.0320%1 Sept →
dust210–130.0112%30 Aug →
ancient13–110.0425%30 Aug →
dust213–2-0.0417%30 Aug →
mirage13–100.0343%30 Aug →
cache9–13-0.0010%29 Aug →
dust28–13-0.0213%29 Aug →
mirage13–8-0.0314%29 Aug →
dust215–15-0.0312%16 Aug →
cache9–13-0.0716%12 Aug →
cache13–100.0314%12 Aug →
mirage11–13-0.0117%12 Aug →
inferno10–13-0.0012%11 Aug →
dust213–70.0213%11 Aug →
anubis13–60.0912%11 Aug →
mirage4–13-0.0318%10 Aug →
cache4–13-0.0630%10 Aug →
ancient13–100.0322%9 Aug →
cache13–50.1011%9 Aug →
dust213–90.1020%9 Aug →
dust213–80.1021%9 Aug →
cache12–160.0633%8 Aug →
cache13–70.0619%8 Aug →
mirage11–130.1616%8 Aug →
mirage9–13-0.0316%6 Aug →
dust213–60.0122%5 Aug →
dust29–13-0.0417%3 Aug →
dust213–16-0.0320%2 Aug →
mirage13–40.0319%2 Aug →
dust28–13-0.0123%1 Aug →
dust213–40.1829%1 Aug →
cache3–130.0520%31 Jul →
mirage8–130.0414%30 Jul →
cache16–120.0422%30 Jul →
cache6–130.0512%29 Jul →
mirage13–50.069%29 Jul →
dust213–80.0610%29 Jul →
dust213–60.0818%29 Jul →
mirage8–130.0817%28 Jul →
ancient11–130.0017%28 Jul →
mirage9–13-0.1012%28 Jul →
anubis15–150.0115%27 Jul →
mirage13–50.0729%27 Jul →
dust213–90.0420%27 Jul →
ancient2–130.0228%27 Jul →
mirage13–10.0638%27 Jul →
mirage13–80.0728%27 Jul →
cache13–11-0.0322%27 Jul →
cache1–13-0.0713%26 Jul →
anubis13–80.0320%25 Jul →
cache13–11-0.0220%25 Jul →
inferno13–5-0.0119%25 Jul →
cache10–13-0.0121%23 Jul →
dust213–60.0312%23 Jul →
dust211–130.0418%23 Jul →
mirage7–13-0.0017%22 Jul →
cache13–40.0922%22 Jul →
nuke2–13-0.076%22 Jul →
dust213–80.0215%22 Jul →
dust213–6-0.0124%22 Jul →
dust213–80.0616%22 Jul →
ancient12–16-0.0415%21 Jul →
nuke3–13-0.0915%21 Jul →
dust211–13-0.0214%20 Jul →
mirage13–110.0725%20 Jul →
mirage1–13-0.0727%15 Jul →
nuke7–13-0.0729%15 Jul →
mirage16–13-0.0118%15 Jul →
cache13–90.0811%15 Jul →
cache13–100.0317%15 Jul →
mirage8–13-0.0422%14 Jul →
ancient8–13-0.0512%14 Jul →

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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