Rainbow Dash

Rainbow Dash — CS2 Stats

76561198681398719[U:1:721132991]Steam profile ↗✓ No bans

98Tracked matches45%Win rate2026Tracked since
60Hours in CS6Hrs last 2 wks
CSDB Rating2.8 LearningPositional Player
Premier CS Rating12,713Blue band · top ~40.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−24Premier CS Rating · 12,737 → 12,713

Rating over time

Premier CS Rating: 12,713 +1,272 18 Aug – 28 Sept · 14 days played
11,21512,737peak 12,73718 Aug28 Sept
13,101Peak Premier in tracked matches
32Days played since 2026-06-28

Premier CS Rating

  • 24 below peak (12,737)
  • +1,498 over 30 days · improving
  • Next: Purple band at 15,000 — 2,287 to go
  • Reached: 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 rate32.7%41.9%44.3%11.7% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.900.981.030.13 short
Match win rate52.3%43.8%45.2%above

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

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

Share this profile

CSDB.GGRainbow DashPREMIER12,713 · Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning42
Utility15

0–100 skill scores via Leetify.

Recent form

HOT49–44–5Last 9850%Win rateLWWLWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +0.2pp headshot accuracy · +119ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 599ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 599ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 540ms

Newest first, from the last 98 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 (+1.6 against its own average).

Aim3.9
Utility1.5
Positioning4.2
Opening Duels2.0

Strong CT-side openerLimited 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

ZywOo

Plays most like ZywOo 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning4.2
Utility1.5
Mechanics1.3
Opening Duels2.4
Win Impact3.3

Composite 2.8/10 (Learning), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time539ms−101ms
first ⅓ avg 640ms → last ⅓ avg 539ms
Headshot accuracy11.0%−1.1%
first ⅓ avg 12.1% → last ⅓ avg 11.0%

Rolling 5-match average across the last 98 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 13–0 · dust2, 29 Jun →
35%Best headshot accuracy · 11–13 · dust2, 17 Aug →
250msFastest reaction time · 2–13 · vertigo, 29 Jul →
13–0Biggest win · vertigo, 29 Jul →

Across the last 98 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 70% over 10cacheWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
nukeA2012–860%0.00
dust2B157–847%-0.03
mirageS107–370%-0.03
cacheD101–910%-0.04
anubisA95–456%-0.03
ancientD91–811%-0.03
infernoA85–363%0.01
vertigoA53–260%-0.02
office—43–175%0.03
shelter—22–0100%0.05
fachwerk—21–150%-0.01
train—21–150%-0.02
overpass—11–0100%-0.01
italy—10–10%0.05

Across the last 98 tracked matches.

Lifetime stats

1,231Lifetime kills
0.90K/D
107Matches
52.3%Match win rate · Top 5% of Blue band
32.7%Headshot %
0.0%Shot accuracy
158MVPs
36Hours (in match)
97Bombs planted
11Bombs defused

Most-used weapons

Lifetime map wins

211nuke
137dust2
83inferno
51office
42vertigo
20train
7italy

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

Skill profile

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

11.4%Headshot accuracy
29.5%Accuracy (enemy spotted)
31.3%Spray accuracy
55.8%Counter-strafing
8.9°Preaim
526msReaction time
32.6%T opening success
46.2%CT opening success
0.24Enemies flashed / flash
0.4%Flash assists
2.54HE damage / grenade
2.47Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.425% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2354 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.5988% — below the 40% mark we flag

Spend your practice time on Cache

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0620%28 Sept →
mirage13–100.057%28 Sept →
nuke10–0-0.020%25 Sept →
cache3–13-0.0415%23 Sept →
mirage13–2-0.019%23 Sept →
dust213–20.026%23 Sept →
nuke13–110.0117%20 Sept →
dust21–13-0.120%20 Sept →
anubis13–80.0512%17 Sept →
nuke13–40.1010%17 Sept →
nuke10–13-0.047%17 Sept →
dust213–9-0.0312%13 Sept →
ancient9–130.033%12 Sept →
inferno5–13-0.016%8 Sept →
dust23–10-0.0414%6 Sept →
nuke0–7-0.050%6 Sept →
anubis13–40.1019%6 Sept →
nuke13–7-0.0011%1 Sept →
cache4–13-0.0719%1 Sept →
mirage16–14-0.085%31 Aug →
dust23–13-0.1114%27 Aug →
ancient6–130.0122%27 Aug →
inferno13–7-0.026%25 Aug →
nuke2–9-0.040%25 Aug →
anubis13–10-0.066%25 Aug →
inferno5–130.037%25 Aug →
cache6–13-0.0414%25 Aug →
cache7–13-0.0213%19 Aug →
dust23–13-0.138%18 Aug →
ancient15–15-0.0333%18 Aug →
anubis13–4-0.0523%18 Aug →
ancient13–16-0.0415%17 Aug →
ancient8–13-0.037%17 Aug →
dust211–13-0.0835%17 Aug →
dust210–13-0.009%17 Aug →
mirage13–11-0.1017%17 Aug →
ancient5–13-0.115%17 Aug →
cache9–13-0.0720%14 Aug →
inferno6–10.050%14 Aug →
nuke13–50.0211%14 Aug →
nuke11–70.016%14 Aug →
cache13–50.0625%14 Aug →
ancient10–13-0.039%14 Aug →
dust22–13-0.0225%14 Aug →
nuke10–13-0.0116%14 Aug →
dust213–70.0313%7 Aug →
nuke16–14-0.0318%6 Aug →
dust213–6-0.0312%6 Aug →
anubis0–13-0.030%2 Aug →
nuke7–10.010%2 Aug →
office13–6-0.013%2 Aug →
nuke3–13-0.016%2 Aug →
mirage13–80.0215%2 Aug →
inferno13–8-0.0315%2 Aug →
vertigo13–00.035%29 Jul →
vertigo2–13-0.065%29 Jul →
nuke13–50.0915%25 Jul →
anubis3–13-0.0611%25 Jul →
shelter13–30.0226%25 Jul →
dust213–8-0.057%25 Jul →
overpass13–1-0.0110%23 Jul →
vertigo1–13-0.0717%23 Jul →
cache12–12-0.0723%23 Jul →
office12–12-0.040%23 Jul →
anubis2–13-0.0723%17 Jul →
ancient13–10-0.077%17 Jul →
vertigo13–6-0.034%17 Jul →
mirage3–13-0.067%17 Jul →
nuke13–5-0.064%17 Jul →
nuke13–8-0.0216%11 Jul →
fachwerk13–5-0.0333%11 Jul →
shelter13–10.0713%11 Jul →
inferno10–13-0.050%11 Jul →
fachwerk11–13-0.0011%10 Jul →
cache8–13-0.037%8 Jul →
cache9–13-0.0413%2 Jul →
train5–130.0023%2 Jul →
anubis9–13-0.0717%1 Jul →
inferno13–70.0817%1 Jul →
dust213–2-0.010%1 Jul →
mirage13–0-0.010%1 Jul →
dust25–13-0.039%30 Jun →
nuke1–13-0.0525%30 Jun →
mirage10–13-0.047%30 Jun →
train13–8-0.0414%29 Jun →
dust213–00.1424%29 Jun →
mirage13–60.009%29 Jun →
italy7–130.059%29 Jun →
ancient9–13-0.0211%29 Jun →
cache12–12-0.0314%29 Jun →
office13–50.0811%29 Jun →
mirage5–13-0.1015%29 Jun →
office13–110.107%29 Jun →
anubis13–2-0.0530%29 Jun →
nuke13–00.0811%29 Jun →
inferno13–50.0215%29 Jun →
nuke12–120.034%28 Jun →
vertigo13–100.0313%28 Jun →

Match data via Leetify.

Recent teammates

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

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