Rain Flare

Rain Flare — CS2 Stats

76561198044035257[U:1:83769529]Steam profile ↗VAC banned

965Tracked matches54%Win rate2020Tracked since
4,539Hours in CS2Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating14,878Blue band · top ~29% of ranked players (population est.)
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (11 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: 14,878 -2,449 25 Jun – 20 Oct · 16 days played
14,56617,596peak 17,59625 Jun20 Oct
17,596Peak Premier in tracked matches
47Days played since 2026-06-25

Premier CS Rating

  • 2,718 below peak (17,596)
  • -689 over 90 days
  • Next: Purple band at 15,000 — 122 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate44.0%42.0%44.4%meets
Shot accuracy16.6%9.6%11.9%above
Kill/death ratio1.080.981.03above
Match win rate62.7%43.8%45.2%above

Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGRain FlarePREMIER14,878 · Blue bandcsdb.gg/stats

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Performance scores

Aim89
Positioning59
Utility57

0–100 skill scores via Leetify.

Recent form

COLD39–48–13Last 10039%Win rateLLLLWWLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +2.3pp headshot accuracy · +55ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 545ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 518ms

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 (+1.4 against its own average).

Aim8.9
Utility5.7
Positioning5.9
Opening Duels5.2
Clutch1.4

Sharp aimer

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

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

Aim8.9
Positioning5.9
Utility5.7
Mechanics7.3
Opening Duels5.2
Win Impact6.3

Composite 6.6/10 (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 rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time516ms−96ms
first ⅓ avg 611ms → last ⅓ avg 516ms
Headshot accuracy18.7%+0.9%
first ⅓ avg 17.8% → last ⅓ avg 18.7%

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

0.31Best match rating · 9–1 · inferno, 29 Jun →
38%Best headshot accuracy · 8–8 · nuke, 21 Aug →
313msFastest reaction time · 4–9 · inferno, 11 Sept →
13–1Biggest win · nuke, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
13–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 56% over 25infernoWeakest map · 24% over 29
MapGradePlayedRecordWin rateAvg rating
infernoD297–2224%-0.01
nukeA2514–1156%0.07
mirageD134–931%0.03
cacheB105–550%0.01
dust2C73–443%0.02
ancientC52–340%0.04
vertigo—41–325%-0.04
overpass—31–233%-0.01
anubis—31–233%0.04
office—11–0100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (24% over 29). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,316Lifetime kills
1.08K/D · Top 50% of Blue band
7,533Matches
62.7%Match win rate · Top 5% of Blue band
44.0%Headshot % · Top 50% of Blue band
16.6%Shot accuracy · Top 25% of Blue band
13,223MVPs
3,335Hours (in match)
3,415Bombs planted
1,410Bombs defused

Most-used weapons

AK-4725,517
AWP17,570
Tec-93,803
Knife3,127
SSG 083,010
P902,922

Lifetime map wins

10,031inferno
4,980dust2
4,122nuke
2,620vertigo
1,543train
549cbble
155dust
146italy

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

Faceit stats

Combat

1,414Matches
51%Win rate
1.07Avg K/D
78.4ADR
38%Headshot %

Clutches & streaks

27%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2454%1.2317.9
Ancient2250%0.9114.7
Nuke2176%1.1116.3
Train1050%1.0114.7
Mirage743%1.1617.0
Dust2450%0.8115.5
Anubis20%1.0215.5
Vertigo1100%1.1826.0

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.

17.7%Headshot accuracy
41.1%Accuracy (enemy spotted)
40.6%Spray accuracy
83.0%Counter-strafing
8.0°Preaim
523msReaction time
51.6%T opening success
49.9%CT opening success
0.63Enemies flashed / flash
3.2%Flash assists
9.82HE damage / grenade
10.12Flashes / 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.

24% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–9-0.0812%28 Oct →
inferno2–9-0.2521%28 Oct →
inferno7–90.0915%20 Oct →
mirage2–13-0.0536%20 Oct →
ancient13–40.1518%16 Oct →
cache13–10-0.0025%11 Oct →
nuke1–130.0214%6 Oct →
dust211–130.0320%29 Sept →
inferno1–9-0.1220%29 Sept →
mirage3–130.0425%29 Sept →
inferno3–9-0.0121%23 Sept →
inferno4–9-0.0431%11 Sept →
inferno9–5-0.1025%10 Sept →
inferno9–30.0611%10 Sept →
mirage7–130.0713%9 Sept →
nuke9–30.0612%8 Sept →
inferno2–9-0.2215%8 Sept →
mirage12–80.0826%8 Sept →
nuke13–10.1423%8 Sept →
inferno6–90.068%8 Sept →
ancient5–130.0213%6 Sept →
nuke13–70.0730%5 Sept →
vertigo6–10.0027%5 Sept →
inferno9–70.1520%5 Sept →
office13–50.1121%4 Sept →
nuke11–130.0413%31 Aug →
vertigo12–12-0.0315%31 Aug →
inferno0–9-0.147%31 Aug →
nuke13–100.0810%28 Aug →
mirage6–130.0120%28 Aug →
mirage13–10.1218%28 Aug →
mirage12–120.0318%27 Aug →
nuke12–120.0817%26 Aug →
nuke6–90.0322%26 Aug →
mirage13–5-0.035%23 Aug →
inferno12–120.079%21 Aug →
nuke9–70.0726%21 Aug →
nuke9–70.1215%21 Aug →
nuke7–90.1613%21 Aug →
vertigo2–9-0.0433%21 Aug →
nuke9–70.1424%21 Aug →
nuke8–80.1438%21 Aug →
overpass4–9-0.099%17 Aug →
anubis8–130.0326%17 Aug →
inferno8–80.0517%17 Aug →
overpass3–9-0.1212%13 Aug →
nuke5–90.0822%13 Aug →
inferno7–9-0.027%13 Aug →
nuke11–130.0114%13 Aug →
inferno8–80.1018%13 Aug →
mirage9–130.0724%12 Aug →
dust213–100.0816%12 Aug →
inferno6–90.148%11 Aug →
inferno8–80.005%10 Aug →
anubis13–20.0316%10 Aug →
mirage13–80.0711%9 Aug →
ancient13–110.0213%9 Aug →
inferno7–13-0.0111%7 Aug →
nuke13–40.1915%5 Aug →
cache6–130.0212%5 Aug →
dust213–100.0120%4 Aug →
inferno6–9-0.0317%4 Aug →
cache13–110.0410%3 Aug →
ancient12–160.019%30 Jul →
anubis11–130.0411%25 Jul →
inferno0–9-0.180%25 Jul →
inferno0–9-0.240%25 Jul →
dust26–13-0.0419%25 Jul →
cache6–13-0.0036%24 Jul →
dust24–130.0532%24 Jul →
cache11–13-0.0311%24 Jul →
cache13–110.0321%24 Jul →
nuke16–140.1323%23 Jul →
cache13–40.0220%23 Jul →
nuke10–130.0227%23 Jul →
cache10–13-0.0212%23 Jul →
vertigo8–8-0.0910%23 Jul →
inferno13–10-0.009%20 Jul →
cache13–110.026%20 Jul →
nuke4–9-0.0811%20 Jul →
mirage10–130.0619%19 Jul →
cache9–13-0.0214%18 Jul →
mirage5–13-0.0513%17 Jul →
nuke13–110.0019%17 Jul →
nuke13–70.019%13 Jul →
inferno8–130.0118%12 Jul →
inferno9–40.0313%12 Jul →
dust215–15-0.0220%11 Jul →
dust213–110.0422%11 Jul →
nuke13–110.1323%10 Jul →
inferno7–13-0.0031%10 Jul →
inferno8–80.0512%6 Jul →
mirage15–15-0.0315%6 Jul →
inferno13–40.0421%3 Jul →
nuke13–100.0816%29 Jun →
inferno9–10.3114%29 Jun →
ancient3–130.0118%28 Jun →
inferno8–80.0123%28 Jun →
overpass9–70.1716%25 Jun →
nuke13–70.0518%25 Jun →

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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