Rain

Rain — CS2 Stats

US76561198818841033[U:1:858575305]Steam profile ↗✓ No bans

2,008Tracked matches38%Win rate2020Tracked since
2,843Hours in CS14Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating15,585Purple band · top ~26.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (4 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: 15,585 -1,737 29 Aug – 14 Oct · 14 days played
15,58517,782peak 17,78229 Aug14 Oct
18,390Peak Premier in tracked matches
23Days played since 2026-08-29

Premier CS Rating

  • 2,197 below peak (17,782)
  • -1,744 over 30 days · declining
  • Next: Pink band at 20,000 — 4,415 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate58.8%43.7%44.8%above
Shot accuracy10.4%12.0%12.4%2.1% short
Kill/death ratio0.891.021.030.15 short
Match win rate47.3%44.7%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRainFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,585 · Purple 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

Aim70
Positioning50
Utility48

0–100 skill scores via Leetify.

Recent form

COLD31–56–13Last 10031%Win rateWLLLLLLLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.6pp headshot accuracy · −30ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 598ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 580ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 595ms

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 (+1.9 against its own average).

Aim7.0
Utility4.8
Positioning5.0
Opening Duels2.6
Clutch0.0

Effective flashes

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

iM

Plays most like iM 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 619ms 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

Aim7.0
Positioning5.0
Utility4.8
Mechanics6.6
Opening Duels3.5
Win Impact1.2

Composite 5.3/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time609ms−10ms
first ⅓ avg 619ms → last ⅓ avg 609ms
Headshot accuracy23.9%−1.8%
first ⅓ avg 25.7% → last ⅓ avg 23.9%

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

0.14Best match rating · 13–5 · mirage, 9 Sept →
64%Best headshot accuracy · 0–13 · dust2, 24 Sept →
414msFastest reaction time · 8–13 · inferno, 14 Sept →
13–3Biggest win · inferno, 5 Oct →

Across the last 100 tracked matches.

Highlights

2Longest win streak
9–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 53% over 19dust2Weakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
infernoD216–1529%-0.01
mirageB1910–953%0.00
dust2D163–1319%-0.03
cacheD153–1220%-0.02
ancientD134–931%-0.02
nukeC83–538%-0.00
anubisD72–529%-0.02
overpass—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,098Lifetime kills
0.89K/D
3,928Matches
47.3%Match win rate · Top 50% of Level 5 players
58.8%Headshot % · Top 10% of Level 5 players
10.4%Shot accuracy
8,622MVPs
1,574Hours (in match)
4,152Bombs planted
808Bombs defused

Most-used weapons

Lifetime map wins

6,947inferno
3,774nuke
2,940dust2
2,794vertigo
2,525train
194office
27italy
15cbble

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

Faceit stats

Combat

189Matches
53%Win rate
0.99Avg K/D
56.0ADR
60%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

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.

23.2%Headshot accuracy
32.5%Accuracy (enemy spotted)
37.3%Spray accuracy
79.5%Counter-strafing
9.9°Preaim
619msReaction time
51.5%T opening success
36.8%CT opening success
0.80Enemies flashed / flash
9.0%Flash assists
6.51HE damage / grenade
6.02Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.7762% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0233%14 Oct →
ancient6–13-0.0121%14 Oct →
cache7–13-0.0816%14 Oct →
mirage7–13-0.0122%14 Oct →
dust28–13-0.0420%14 Oct →
dust22–50.0060%11 Oct →
nuke10–13-0.0214%11 Oct →
dust211–13-0.0716%11 Oct →
cache13–9-0.0020%11 Oct →
dust213–9-0.0317%11 Oct →
ancient5–13-0.0436%5 Oct →
mirage13–11-0.0633%5 Oct →
ancient0–13-0.0745%5 Oct →
anubis8–13-0.0511%5 Oct →
dust27–13-0.0424%5 Oct →
inferno13–30.0831%5 Oct →
ancient13–50.0216%4 Oct →
ancient8–13-0.0317%4 Oct →
inferno13–11-0.0029%4 Oct →
mirage15–15-0.0713%4 Oct →
mirage13–10-0.0120%4 Oct →
nuke9–130.0128%4 Oct →
anubis12–12-0.0225%1 Oct →
inferno7–13-0.1210%1 Oct →
dust212–12-0.0133%30 Sept →
cache5–130.0116%30 Sept →
nuke12–12-0.0211%30 Sept →
mirage13–80.0338%30 Sept →
ancient13–11-0.0335%30 Sept →
inferno4–13-0.0419%30 Sept →
inferno11–13-0.0017%28 Sept →
mirage13–110.0119%28 Sept →
inferno5–13-0.0322%27 Sept →
mirage13–9-0.0226%27 Sept →
cache2–6-0.0143%25 Sept →
inferno1–100.0028%25 Sept →
mirage13–60.0332%25 Sept →
dust29–13-0.0338%24 Sept →
dust20–13-0.0764%24 Sept →
mirage5–13-0.0111%23 Sept →
dust214–16-0.0313%23 Sept →
nuke13–60.0121%23 Sept →
inferno10–130.0316%23 Sept →
mirage12–12-0.0131%23 Sept →
nuke2–13-0.0415%21 Sept →
inferno10–13-0.0416%21 Sept →
ancient12–120.0331%21 Sept →
anubis13–11-0.0133%21 Sept →
dust29–13-0.0818%21 Sept →
cache7–130.0215%21 Sept →
ancient6–13-0.0127%21 Sept →
ancient13–11-0.0317%19 Sept →
cache10–13-0.0519%19 Sept →
cache4–130.0130%19 Sept →
mirage13–50.0323%19 Sept →
inferno13–11-0.0524%19 Sept →
dust212–12-0.0616%19 Sept →
ancient4–13-0.0436%17 Sept →
inferno12–12-0.0229%14 Sept →
inferno8–13-0.0629%14 Sept →
dust28–13-0.0429%14 Sept →
inferno1–13-0.0617%14 Sept →
anubis11–13-0.0233%14 Sept →
cache13–8-0.0245%14 Sept →
nuke6–130.0135%14 Sept →
mirage13–30.0647%14 Sept →
inferno12–120.0519%14 Sept →
mirage4–13-0.0028%14 Sept →
cache8–130.0119%13 Sept →
inferno15–150.0122%12 Sept →
ancient16–13-0.0120%12 Sept →
nuke16–14-0.0119%12 Sept →
ancient10–13-0.0322%12 Sept →
dust26–13-0.0123%12 Sept →
mirage10–130.0030%12 Sept →
cache10–13-0.0128%11 Sept →
dust213–11-0.0326%11 Sept →
inferno13–70.0127%11 Sept →
cache1–13-0.0913%11 Sept →
mirage7–13-0.0931%11 Sept →
inferno12–120.0127%10 Sept →
cache13–16-0.0217%9 Sept →
anubis10–13-0.0442%9 Sept →
mirage11–130.0620%9 Sept →
anubis13–90.0230%9 Sept →
mirage13–50.1425%9 Sept →
cache5–13-0.0632%9 Sept →
dust26–13-0.0629%9 Sept →
inferno6–13-0.0628%9 Sept →
mirage13–90.0415%9 Sept →
mirage5–13-0.0450%9 Sept →
overpass10–13-0.0210%8 Sept →
cache13–8-0.0215%7 Sept →
inferno12–120.0827%7 Sept →
anubis12–12-0.0221%7 Sept →
dust213–70.1033%7 Sept →
nuke13–80.0320%7 Sept →
cache8–13-0.0515%7 Sept →
inferno13–80.0530%7 Sept →
ancient6–13-0.0252%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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.