一只小花火OvO

一只小花火OvO — CS2 Stats

TW76561198769295484[U:1:809029756]Steam profile ↗✓ No bans

828Tracked matches50%Win rate2025Tracked since
824Hours in CS22Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating24,378Top 25% of 215,558 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#29778 of 261696 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (21 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: 24,378 +126 16 Sept – 25 Oct · 4 days played
23,74024,378peak 24,37816 Sept25 Oct
24,378Peak Premier in tracked matches
19Days played since 2026-09-16

Premier CS Rating

  • At peak — 24,378
  • Next: Red band at 25,000 — 622 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-16
  • Purple band first seen 2026-09-16

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 Pink band among CSDB-tracked players (n=42,632), 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 playerPink band medianRed band medianvs Red band
Headshot rate53.7%46.9%49.3%above
Shot accuracy0.0%13.0%13.3%13.3% short
Kill/death ratio1.681.081.12above
Match win rate66.8%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GG一只小花火OvOPREMIER24,378 · Pink 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

Aim89
Positioning75
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY42–45–13Last 10042%Win rateWWWLWLWWLL

Last 10 vs previous 10: +40pp win rate · −0.06 avg rating · −0.5pp headshot accuracy · +22ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.06), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 556ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 542ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 26%
  • Avg reaction 531ms

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 (+2.1 against its own average).

Aim8.9
Utility3.9
Positioning7.5
Opening Duels6.4
Clutch3.6

Sharp aimerEffective flashesLimited 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 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Strengths

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

T openings. 68% T opening-duel success — entries that actually open the round.

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
Positioning7.5
Utility3.9
Mechanics8.0
Opening Duels8.1
Win Impact5.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.07+0.02
first ⅓ avg 0.04 → last ⅓ avg 0.07
Reaction time547ms−3ms
first ⅓ avg 551ms → last ⅓ avg 547ms
Headshot accuracy26.9%+1.1%
first ⅓ avg 25.7% → last ⅓ avg 26.9%

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

0.26Best match rating · 9–3 · inferno, 25 Oct →
50%Best headshot accuracy · 8–13 · nuke, 14 Nov →
352msFastest reaction time · 3–13 · anubis, 28 Oct →
13–0Biggest win · mirage, 8 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
11–4In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2612–1446%0.04
dust2C146–843%0.06
infernoD143–1121%0.05
anubisC135–838%0.08
nukeB105–550%0.05
cacheD92–722%0.04
ancientA85–363%0.07
train—31–233%0.09
overpass—22–0100%0.11
vertigo—11–0100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,018Lifetime kills
1.68K/D · Top 5% of Pink band
2,014Matches
66.8%Match win rate · Top 5% of Pink band
53.7%Headshot % · Top 25% of Pink band
0.0%Shot accuracy
8,072MVPs
555Hours (in match)
823Bombs planted
703Bombs defused

Most-used weapons

Lifetime map wins

6,560dust2
2,364inferno
979nuke
434train
380vertigo
1ar_shoots

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

Faceit stats

Combat

7Matches
57%Win rate
1.22Avg K/D
95.6ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%1.3025.7
Anubis10%0.6312.0
Nuke1100%1.1515.0
Dust210%1.5420.0
Ancient10%1.3121.0

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.

27.6%Headshot accuracy
36.6%Accuracy (enemy spotted)
33.9%Spray accuracy
85.8%Counter-strafing
8.0°Preaim
546msReaction time
68.2%T opening success
56.4%CT opening success
0.72Enemies flashed / flash
9.0%Flash assists
5.42HE damage / grenade
3.40Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4019 — below the 4 mark we flag

    Grenade Lineups →
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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0823%15 Nov →
dust213–20.1832%15 Nov →
anubis13–11-0.0316%15 Nov →
mirage3–13-0.0517%15 Nov →
inferno13–90.1017%15 Nov →
ancient10–130.0523%15 Nov →
dust213–50.0124%14 Nov →
ancient13–40.1024%14 Nov →
inferno2–13-0.0433%14 Nov →
nuke8–13-0.0150%14 Nov →
anubis13–50.0723%14 Nov →
mirage13–90.0934%14 Nov →
inferno11–130.1625%11 Nov →
anubis8–130.0931%11 Nov →
mirage11–130.0531%11 Nov →
dust212–120.1418%9 Nov →
ancient5–130.0328%9 Nov →
mirage11–130.1433%9 Nov →
anubis12–120.1321%6 Nov →
inferno12–120.1221%6 Nov →
nuke11–13-0.0233%6 Nov →
nuke13–110.1030%6 Nov →
dust213–110.0832%6 Nov →
inferno9–130.0228%6 Nov →
cache12–120.0235%6 Nov →
mirage13–40.1225%6 Nov →
inferno6–13-0.0020%2 Nov →
nuke13–60.0242%1 Nov →
mirage6–13-0.0333%1 Nov →
mirage13–10.2026%1 Nov →
mirage12–120.0314%1 Nov →
train12–120.0823%1 Nov →
overpass13–90.1120%1 Nov →
mirage6–130.0934%1 Nov →
train13–100.1229%1 Nov →
dust212–120.0129%1 Nov →
nuke12–120.1131%30 Oct →
anubis12–120.0523%30 Oct →
mirage9–90.0536%29 Oct →
anubis12–120.1919%29 Oct →
inferno6–13-0.0015%29 Oct →
ancient13–110.1516%28 Oct →
anubis3–130.0442%28 Oct →
mirage7–130.0019%28 Oct →
nuke9–130.0423%26 Oct →
inferno9–130.0435%26 Oct →
cache7–130.0522%26 Oct →
dust213–80.0918%26 Oct →
inferno6–90.0120%26 Oct →
dust210–130.0527%25 Oct →
anubis13–100.0732%25 Oct →
cache13–11-0.0015%25 Oct →
nuke13–60.0746%25 Oct →
dust210–130.0224%25 Oct →
nuke13–30.0923%25 Oct →
train4–130.0625%25 Oct →
mirage13–10-0.0214%25 Oct →
mirage7–11-0.0415%25 Oct →
vertigo9–70.1115%25 Oct →
inferno9–30.2629%25 Oct →
cache10–130.0129%24 Oct →
anubis10–130.0619%24 Oct →
inferno13–100.0726%24 Oct →
ancient12–12-0.0115%24 Oct →
mirage13–90.0522%24 Oct →
cache7–130.1235%24 Oct →
mirage4–13-0.0130%24 Oct →
dust27–13-0.0132%24 Oct →
ancient13–20.0421%24 Oct →
overpass13–80.1127%24 Oct →
ancient13–110.0625%24 Oct →
dust213–100.0418%24 Oct →
inferno2–13-0.0223%24 Oct →
mirage13–7-0.0032%24 Oct →
cache8–130.0238%24 Oct →
mirage13–110.0120%23 Oct →
inferno4–130.0028%23 Oct →
nuke3–13-0.0524%23 Oct →
anubis3–130.0432%23 Oct →
mirage8–130.0329%23 Oct →
cache9–130.0824%23 Oct →
mirage9–13-0.0220%23 Oct →
dust24–13-0.0120%23 Oct →
cache12–120.0721%23 Oct →
inferno8–130.0124%23 Oct →
mirage3–13-0.0325%22 Oct →
dust212–120.1228%22 Oct →
mirage9–130.0830%22 Oct →
mirage13–110.1129%22 Oct →
mirage9–13-0.0040%21 Oct →
cache13–10-0.0424%21 Oct →
dust213–5-0.0526%21 Oct →
anubis4–130.0736%10 Oct →
anubis13–110.2227%10 Oct →
ancient13–100.1330%10 Oct →
mirage13–100.1126%9 Oct →
nuke13–80.1426%9 Oct →
dust210–130.1326%9 Oct →
mirage13–00.067%8 Oct →
anubis13–50.0112%8 Oct →

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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