Darina

Darina — CS2 Stats

DE76561199243515019[U:1:1283249291]Steam profile ↗✓ No bans

170Tracked matches50%Win rate2023Tracked since
123Hours in CS
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating3,083Grey band · top ~86.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−105Premier CS Rating · 3,188 → 3,083

Rating over time

Premier CS Rating: 3,083 +1,469 10 Sept – 17 Oct · 23 days played
1,6143,391peak 3,39110 Sept17 Oct
3,637Peak Premier in tracked matches
28Days played since 2026-09-07

Premier CS Rating

  • 308 below peak (3,391)
  • -1 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,917 to go

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,259), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate53.8%41.8%42.7%above
Shot accuracy4.5%12.2%11.3%6.8% short
Kill/death ratio0.670.980.990.33 short
Match win rate35.8%43.3%43.9%8.2% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDarinaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER3,083 · Grey bandcsdb.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

Aim58
Positioning65
Utility26

0–100 skill scores via Leetify.

Recent form

COLD37–61–2Last 10037%Win rateLLLLLWWLLW

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −0.1pp headshot accuracy · +63ms reaction

Win rate down 40pp 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

  • 0–5 · 0% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 672ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 702ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 671ms

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 (+2.7 against its own average).

Aim5.8
Utility2.6
Positioning6.5
Opening Duels4.6
Clutch1.4

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

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 650ms 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

Aim5.8
Positioning6.5
Utility2.6
Mechanics5.8
Opening Duels5.4
Win Impact5.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.07
first ⅓ avg -0.04 → last ⅓ avg 0.03
Reaction time663ms−58ms
first ⅓ avg 721ms → last ⅓ avg 663ms
Headshot accuracy19.0%+1.5%
first ⅓ avg 17.5% → last ⅓ avg 19.0%

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

0.22Best match rating · 13–11 · ancient, 9 Oct →
50%Best headshot accuracy · 4–13 · cache, 10 Sept →
484msFastest reaction time · 7–13 · anubis, 17 Oct →
13–1Biggest win · cache, 10 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
5–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 57% over 14anubisWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
ancientB189–950%0.03
dust2D175–1229%-0.03
anubisD163–1319%-0.03
nukeA148–657%-0.01
mirageD123–925%-0.04
cacheC114–736%0.00
infernoA95–456%0.04
vertigo—10–10%-0.10
office—10–10%-0.09
train—10–10%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,612Lifetime kills
0.67K/D
369Matches
35.8%Match win rate
53.8%Headshot % · Top 10% of Level 3 players
4.5%Shot accuracy
462MVPs
123Hours (in match)
302Bombs planted
45Bombs defused

Most-used weapons

Lifetime map wins

492nuke
438dust2
222inferno
123train
111vertigo
17office
17aztec
7italy

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

Faceit stats

Combat

43Matches
42%Win rate
0.63Avg K/D
58.7ADR
53%Headshot %

Clutches & streaks

27%1v1 clutch win
11%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1242%0.6811.4
Anubis1145%0.6411.9
Mirage560%0.5613.6
Nuke425%0.7411.3
Inferno40%0.345.8
Dust2333%0.6710.7
Cache3100%0.589.7
Overpass10%1.0016.0

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.

19.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
30.7%Spray accuracy
76.2%Counter-strafing
9.5°Preaim
650msReaction time
56.5%T opening success
46.3%CT opening success
0.47Enemies flashed / flash
4.6%Flash assists
4.27HE damage / grenade
4.24Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.47 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–130.0416%17 Oct →
mirage10–13-0.0721%15 Oct →
anubis12–16-0.0412%15 Oct →
ancient8–130.0825%15 Oct →
cache10–130.0326%15 Oct →
inferno13–100.0115%15 Oct →
ancient13–5-0.0221%14 Oct →
mirage2–13-0.0421%14 Oct →
nuke3–13-0.0016%14 Oct →
nuke13–10-0.0213%14 Oct →
ancient13–9-0.0126%14 Oct →
ancient9–13-0.0122%14 Oct →
nuke13–7-0.0420%14 Oct →
cache10–13-0.089%12 Oct →
cache13–10-0.0514%12 Oct →
inferno13–60.1818%11 Oct →
nuke13–40.069%10 Oct →
inferno13–30.1620%10 Oct →
ancient10–130.0119%10 Oct →
cache13–10.1427%10 Oct →
cache12–160.0618%10 Oct →
ancient7–130.038%10 Oct →
dust210–50.0117%9 Oct →
ancient13–20.1630%9 Oct →
ancient13–110.2219%9 Oct →
inferno9–130.1015%9 Oct →
cache13–10.0828%9 Oct →
nuke13–11-0.0420%9 Oct →
nuke6–13-0.0715%9 Oct →
dust210–130.0540%9 Oct →
mirage5–13-0.0215%9 Oct →
mirage13–8-0.0317%9 Oct →
anubis11–13-0.0316%8 Oct →
dust215–15-0.0223%8 Oct →
dust23–13-0.0715%8 Oct →
anubis10–13-0.0727%7 Oct →
dust213–20.0115%7 Oct →
anubis2–13-0.0527%7 Oct →
vertigo0–8-0.100%7 Oct →
dust213–2-0.053%7 Oct →
mirage13–5-0.0117%7 Oct →
mirage14–16-0.0822%6 Oct →
dust27–13-0.0518%5 Oct →
anubis14–16-0.0416%5 Oct →
anubis9–13-0.0213%27 Sept →
mirage13–90.0716%26 Sept →
dust29–130.0512%26 Sept →
cache5–130.1119%26 Sept →
ancient13–110.1011%26 Sept →
anubis13–70.0511%25 Sept →
inferno13–110.0615%25 Sept →
ancient9–13-0.0012%25 Sept →
ancient13–7-0.0313%25 Sept →
nuke13–70.0623%25 Sept →
anubis9–130.1122%25 Sept →
mirage11–13-0.098%24 Sept →
nuke9–130.0026%24 Sept →
office4–13-0.0914%23 Sept →
anubis13–8-0.0414%23 Sept →
mirage3–13-0.1040%21 Sept →
ancient9–13-0.0621%19 Sept →
ancient13–40.0211%19 Sept →
ancient13–50.008%19 Sept →
train5–13-0.0417%18 Sept →
anubis1–13-0.1022%18 Sept →
ancient16–120.0313%17 Sept →
anubis10–13-0.079%16 Sept →
mirage11–130.0238%16 Sept →
ancient5–13-0.0515%16 Sept →
nuke8–13-0.0132%16 Sept →
nuke13–10-0.025%15 Sept →
dust212–12-0.079%15 Sept →
inferno13–9-0.0418%14 Sept →
dust22–13-0.0620%14 Sept →
ancient3–130.014%13 Sept →
dust213–10-0.0423%13 Sept →
mirage6–13-0.059%13 Sept →
inferno8–13-0.0911%13 Sept →
anubis9–4-0.049%13 Sept →
dust213–70.0321%13 Sept →
ancient7–13-0.0215%13 Sept →
nuke4–13-0.0615%13 Sept →
nuke13–40.005%12 Sept →
inferno8–130.0416%12 Sept →
nuke13–110.0214%12 Sept →
inferno9–13-0.0828%12 Sept →
anubis12–16-0.0318%12 Sept →
cache7–13-0.0310%11 Sept →
anubis9–13-0.0311%11 Sept →
dust25–13-0.0524%10 Sept →
cache4–13-0.0950%10 Sept →
dust22–13-0.128%10 Sept →
nuke7–13-0.0212%10 Sept →
dust29–13-0.1121%10 Sept →
cache1–13-0.0524%10 Sept →
dust26–13-0.0510%10 Sept →
cache13–10-0.0612%10 Sept →
dust23–13-0.0117%7 Sept →
mirage5–13-0.0711%7 Sept →
anubis1–12-0.1040%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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