NeverRain

NeverRain — CS2 Stats

DE76561198313301307[U:1:353035579]Steam profile ↗✓ No bans

1,746Tracked matches46%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating18,847Top 50% of 205,416 CSDB-tracked playersPurple band · top ~13.1% of ranked players (population est.)
CSDB Leaderboard#98042 of 252677 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 18,847 +1,044 4 Sept – 16 Oct · 19 days played
17,49819,354peak 19,3544 Sept16 Oct
19,416Peak Premier in tracked matches
20Days played since 2026-09-04

Premier CS Rating

  • 507 below peak (19,354)
  • +1,296 over 30 days · improving
  • Next: Pink band at 20,000 — 1,153 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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

Share this profile

CSDB.GGNeverRainPREMIER18,847 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning57
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateWWWLWLLLLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −4.5pp headshot accuracy · −23ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 556ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

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 (+1.5 against its own average).

Aim8.2
Utility3.9
Positioning5.7
Opening Duels3.1

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

ropz

Plays most like ropz 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim 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.

Reaction time. 596ms 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

Aim8.2
Positioning5.7
Utility3.9
Mechanics7.9
Opening Duels4.3
Win Impact3.8

Composite 6.2/10 (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 rating-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time598ms−4ms
first ⅓ avg 601ms → last ⅓ avg 598ms
Headshot accuracy18.5%−4.9%
first ⅓ avg 23.4% → last ⅓ avg 18.5%

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

0.21Best match rating · 9–4 · anubis, 13 Sept →
57%Best headshot accuracy · 8–13 · cache, 18 Sept →
375msFastest reaction time · 3–9 · inferno, 12 Sept →
13–1Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
5–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
anubisD185–1328%0.02
dust2C188–1044%0.01
ancientB179–853%0.01
mirageD163–1319%-0.02
infernoD112–918%-0.01
cacheA117–464%0.03
nukeS54–180%0.00
vertigo—11–0100%-0.02
office—10–10%-0.15
train—10–10%0.07
italy—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno 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.

18.4%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.3%Spray accuracy
85.7%Counter-strafing
8.4°Preaim
596msReaction time
52.2%T opening success
42.0%CT opening success
0.58Enemies flashed / flash
12.9%Flash assists
3.74HE damage / grenade
4.53Flashes / 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0720%16 Oct →
inferno13–5-0.0314%15 Oct →
nuke13–3-0.0716%28 Sept →
mirage4–13-0.0117%27 Sept →
anubis13–50.0922%27 Sept →
inferno2–13-0.0330%26 Sept →
mirage1–8-0.1012%26 Sept →
mirage9–13-0.0610%26 Sept →
ancient10–13-0.056%26 Sept →
dust213–6-0.0010%26 Sept →
ancient9–130.0425%25 Sept →
ancient13–70.1020%25 Sept →
cache13–80.0416%25 Sept →
anubis10–13-0.0712%25 Sept →
anubis6–13-0.0622%25 Sept →
ancient13–60.0716%25 Sept →
anubis13–80.0318%25 Sept →
cache9–13-0.0824%25 Sept →
mirage8–13-0.0122%25 Sept →
dust24–13-0.0428%25 Sept →
inferno13–70.0220%24 Sept →
cache13–60.0216%24 Sept →
inferno7–13-0.0224%24 Sept →
anubis15–150.0223%24 Sept →
vertigo13–8-0.0224%24 Sept →
dust27–13-0.1010%23 Sept →
ancient4–13-0.0218%23 Sept →
mirage3–130.077%21 Sept →
dust212–12-0.0131%21 Sept →
ancient16–12-0.0616%21 Sept →
dust210–13-0.0028%21 Sept →
dust216–130.0514%21 Sept →
nuke13–50.0321%21 Sept →
ancient11–13-0.0115%21 Sept →
inferno12–16-0.0117%21 Sept →
ancient13–110.0033%21 Sept →
mirage2–13-0.0721%21 Sept →
nuke13–11-0.0018%20 Sept →
dust28–130.0422%20 Sept →
anubis13–50.1818%20 Sept →
dust28–13-0.0212%20 Sept →
mirage13–6-0.0323%20 Sept →
ancient13–80.0418%20 Sept →
ancient13–10.0413%20 Sept →
anubis13–50.0211%20 Sept →
mirage12–12-0.0736%19 Sept →
anubis8–13-0.0628%19 Sept →
anubis12–12-0.0426%19 Sept →
office5–13-0.1512%19 Sept →
mirage5–130.0220%19 Sept →
ancient2–13-0.0213%19 Sept →
dust213–7-0.0024%19 Sept →
mirage9–13-0.0412%19 Sept →
mirage4–13-0.0417%19 Sept →
anubis10–13-0.0217%18 Sept →
dust213–100.0518%18 Sept →
cache8–13-0.0157%18 Sept →
dust213–60.0524%18 Sept →
cache10–30.0920%18 Sept →
train5–130.0717%18 Sept →
anubis1–130.0010%18 Sept →
italy13–11-0.0319%17 Sept →
ancient11–130.0018%17 Sept →
cache13–50.1520%17 Sept →
inferno3–130.1048%16 Sept →
anubis10–130.0534%16 Sept →
mirage3–13-0.0218%16 Sept →
ancient9–130.0429%15 Sept →
cache13–100.0415%15 Sept →
dust212–120.0133%15 Sept →
dust213–100.0420%13 Sept →
mirage6–13-0.0219%13 Sept →
inferno8–13-0.0523%13 Sept →
anubis9–40.2140%13 Sept →
anubis5–11-0.0325%13 Sept →
nuke8–130.0023%12 Sept →
nuke13–50.0616%12 Sept →
anubis15–150.0419%12 Sept →
mirage3–13-0.0438%12 Sept →
mirage13–20.0617%12 Sept →
cache7–13-0.0229%12 Sept →
inferno3–9-0.1125%12 Sept →
mirage13–100.0521%12 Sept →
dust21–130.0534%12 Sept →
ancient13–11-0.0018%12 Sept →
dust29–13-0.0512%12 Sept →
inferno9–130.0728%12 Sept →
anubis12–16-0.0018%12 Sept →
ancient14–16-0.027%12 Sept →
inferno5–13-0.0720%12 Sept →
inferno15–150.0332%11 Sept →
anubis9–130.0223%11 Sept →
dust29–10.0531%11 Sept →
anubis11–130.0315%11 Sept →
dust26–130.0428%10 Sept →
cache13–100.1238%10 Sept →
dust213–8-0.0217%10 Sept →
ancient13–60.0220%6 Sept →
cache6–13-0.0320%6 Sept →
cache13–11-0.0320%6 Sept →

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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