Risky Moves

Risky Moves — CS2 Stats

NZ76561198216671739[U:1:256406011]Steam profile ↗✓ No bans

575Tracked matches71%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating24,164Top 25% of 203,724 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)
CSDB Leaderboard#29603 of 251092 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (25 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: 24,164 +1,622 23 Apr – 13 Sept · 22 days played
22,42326,583peak 26,58323 Apr13 Sept
26,583Peak Premier in tracked matches
49Days played since 2026-04-17

Premier CS Rating

  • 2,419 below peak (26,583)
  • -570 over 30 days · declining
  • -1,850 over 90 days
  • Next: Red band at 25,000 — 836 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

Share this profile

CSDB.GGRisky MovesPREMIER24,164 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning38
Utility35

0–100 skill scores via Leetify.

Recent form

HOT61–30–9Last 10061%Win rateTWWWWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +3.0pp headshot accuracy · −27ms reaction

Win rate up 20pp 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 547ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 561ms

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 against its own average).

Aim7.0
Utility3.5
Positioning3.8
Opening Duels1.2

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

sh1ro

Plays most like sh1ro 96% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; 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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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
Positioning3.8
Utility3.5
Mechanics7.7
Opening Duels1.4
Win Impact10.0

Composite 5.8/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time552ms−41ms
first ⅓ avg 593ms → last ⅓ avg 552ms
Headshot accuracy11.9%−1.4%
first ⅓ avg 13.3% → last ⅓ avg 11.9%

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

0.16Best match rating · 9–1 · dust2, 4 Aug →
32%Best headshot accuracy · 13–8 · anubis, 10 Aug →
422msFastest reaction time · 13–3 · inferno, 4 Aug →
13–1Biggest win · anubis, 25 Jul →

Across the last 100 tracked matches.

Highlights

11Longest win streak
2–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 73% over 11ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%0.01
dust2A1912–763%0.02
cacheA127–558%0.03
anubisS118–373%0.03
infernoA95–456%-0.01
ancientD62–433%0.00
trainA53–260%-0.01
overpass—42–250%0.06
nuke—33–0100%0.09
vertigo—11–0100%0.13
office—11–0100%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient 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.

12.7%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.0%Spray accuracy
84.5%Counter-strafing
8.5°Preaim
567msReaction time
22.9%T opening success
41.0%CT opening success
0.41Enemies flashed / flash
2.7%Flash assists
9.01HE damage / grenade
4.04Flashes / 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 12.7492% — 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 0.4051 — 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 22.8689% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–150.0420%13 Sept →
nuke5–00.0729%10 Sept →
mirage13–20.0214%9 Sept →
train13–6-0.0210%14 Aug →
nuke13–90.0614%11 Aug →
mirage13–70.043%11 Aug →
cache13–40.026%11 Aug →
dust213–40.0420%11 Aug →
cache6–13-0.0113%11 Aug →
mirage11–13-0.0111%11 Aug →
inferno0–7-0.077%10 Aug →
cache9–13-0.082%10 Aug →
mirage5–13-0.0510%10 Aug →
anubis13–80.0432%10 Aug →
inferno13–7-0.0211%10 Aug →
mirage3–13-0.070%10 Aug →
mirage13–100.0117%9 Aug →
inferno13–100.0412%8 Aug →
mirage11–130.029%8 Aug →
anubis13–70.0611%8 Aug →
mirage13–70.0814%8 Aug →
mirage15–15-0.0317%4 Aug →
inferno13–3-0.046%4 Aug →
dust29–10.1618%4 Aug →
mirage13–5-0.0114%26 Jul →
inferno3–13-0.059%25 Jul →
dust213–80.0212%25 Jul →
anubis13–10.038%25 Jul →
mirage13–70.0616%25 Jul →
dust213–80.0317%18 Jul →
inferno0–13-0.050%15 Jul →
ancient13–50.017%15 Jul →
cache10–13-0.004%15 Jul →
mirage7–13-0.0310%12 Jul →
inferno10–10.0111%12 Jul →
ancient12–120.039%12 Jul →
dust29–13-0.0410%2 Jul →
cache13–100.0716%2 Jul →
inferno15–15-0.0212%28 Jun →
mirage8–13-0.069%28 Jun →
vertigo13–50.1322%25 Jun →
anubis11–13-0.0113%25 Jun →
mirage13–50.0817%24 Jun →
cache13–50.0424%23 Jun →
office13–60.1019%23 Jun →
ancient8–13-0.0214%22 Jun →
train4–13-0.0421%22 Jun →
mirage13–10-0.0117%19 Jun →
ancient6–130.0422%19 Jun →
dust213–50.0316%18 Jun →
mirage13–60.0211%14 Jun →
dust213–70.0316%12 Jun →
mirage15–15-0.069%10 Jun →
dust28–13-0.0414%10 Jun →
dust29–130.0013%10 Jun →
dust21–13-0.060%9 Jun →
mirage5–130.1315%9 Jun →
mirage13–10.0414%9 Jun →
dust210–130.0415%7 Jun →
mirage13–10-0.084%5 Jun →
mirage10–130.0620%5 Jun →
mirage13–90.029%4 Jun →
mirage13–70.0812%4 Jun →
mirage16–14-0.0211%4 Jun →
overpass13–90.1011%2 Jun →
dust213–20.058%1 Jun →
dust213–5-0.0017%1 Jun →
anubis13–20.0810%1 Jun →
anubis13–10.0918%1 Jun →
nuke13–60.1214%31 May →
mirage13–30.0014%31 May →
dust213–110.0318%31 May →
mirage12–120.0812%30 May →
anubis13–30.153%29 May →
dust28–13-0.0710%26 May →
overpass8–130.0222%21 May →
cache10–130.0010%21 May →
ancient13–70.0015%20 May →
dust213–10.0210%20 May →
inferno13–20.0910%16 May →
ancient3–13-0.0618%15 May →
mirage12–12-0.047%15 May →
cache13–9-0.0414%13 May →
mirage13–9-0.019%6 May →
cache12–120.1222%6 May →
cache13–90.0220%2 May →
cache13–90.0213%29 Apr →
cache13–10.1318%29 Apr →
train11–130.066%28 Apr →
anubis13–40.057%28 Apr →
dust213–50.1013%28 Apr →
anubis10–130.033%27 Apr →
overpass13–70.0616%23 Apr →
train13–4-0.0613%22 Apr →
dust213–6-0.0311%22 Apr →
train13–10.0224%22 Apr →
overpass12–120.0315%21 Apr →
mirage13–40.0223%21 Apr →
anubis13–3-0.0712%21 Apr →
anubis4–13-0.0613%17 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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