idowatiwant

idowatiwant — CS2 Stats

76561198054485750[U:1:94220022]Steam profile ↗✓ No bans

119Tracked matches63%Win rate2024Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating16,299Purple band · top ~23.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 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: 16,299 +2,736 27 Feb – 26 Oct · 17 days played
12,31716,683peak 16,68327 Feb26 Oct
16,806Peak Premier in tracked matches
32Days played since 2024-11-16

Premier CS Rating

  • 384 below peak (16,683)
  • -193 over 30 days · steady
  • Next: Pink band at 20,000 — 3,701 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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

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CSDB.GGidowatiwantPREMIER16,299 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLLWWWLLLTL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −1.5pp headshot accuracy · +6ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 558ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 556ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 553ms

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 (+1.1 against its own average).

Aim5.7
Utility4.9
Positioning5.2
Opening Duels2.2

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

NiKo

Plays most like NiKo 83% 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 →

CSDB Rating breakdown

Aim5.7
Positioning5.2
Utility4.9
Mechanics4.7
Opening Duels1.9
Win Impact9.3

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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time547ms−74ms
first ⅓ avg 621ms → last ⅓ avg 547ms
Headshot accuracy11.6%−0.9%
first ⅓ avg 12.5% → last ⅓ avg 11.6%

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

0.21Best match rating · 3–0 · nuke, 27 Feb →
23%Best headshot accuracy · 13–11 · cache, 8 Jun →
406msFastest reaction time · 13–8 · ancient, 6 Sept →
13–1Biggest win · cache, 1 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
8–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 64% over 11cacheWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
cacheC208–1240%-0.01
dust2A1810–856%0.01
ancientB168–850%0.00
mirageC125–742%-0.00
anubisA117–464%0.00
infernoC104–640%-0.03
nukeB105–550%0.02
train—22–0100%0.04
edin—10–10%-0.02

Across the last 100 tracked matches.

Skill profile

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

11.2%Headshot accuracy
34.7%Accuracy (enemy spotted)
37.6%Spray accuracy
71.0%Counter-strafing
10.4°Preaim
541msReaction time
34.4%T opening success
41.0%CT opening success
0.57Enemies flashed / flash
3.7%Flash assists
7.65HE damage / grenade
6.93Flashes / 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 11.1674% — below the 15% mark we flag

    Aim Training →
  2. 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 34.3678% — 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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.064%26 Oct →
cache4–13-0.019%26 Oct →
cache13–11-0.0710%26 Oct →
nuke13–90.1313%13 Oct →
dust213–50.0119%12 Oct →
dust27–13-0.017%12 Oct →
mirage3–13-0.0118%12 Oct →
mirage6–13-0.044%12 Oct →
mirage15–150.0111%12 Oct →
mirage9–13-0.0112%5 Oct →
mirage6–13-0.0211%5 Oct →
cache13–9-0.016%5 Oct →
nuke8–130.0411%5 Oct →
nuke13–11-0.0513%14 Sept →
inferno12–16-0.0215%14 Sept →
ancient15–15-0.054%14 Sept →
anubis16–120.0014%6 Sept →
dust213–50.0116%6 Sept →
dust213–30.0522%6 Sept →
ancient13–10-0.078%6 Sept →
cache6–13-0.0517%6 Sept →
ancient13–8-0.079%6 Sept →
inferno13–11-0.0514%6 Sept →
dust213–90.049%6 Sept →
mirage13–40.0820%6 Sept →
inferno15–150.047%31 Aug →
anubis13–100.0310%31 Aug →
anubis16–130.036%31 Aug →
dust213–20.0811%3 Aug →
ancient13–50.0413%3 Aug →
ancient13–90.0213%3 Aug →
cache4–13-0.025%13 Jul →
dust26–13-0.0619%10 Jul →
dust213–60.029%10 Jul →
ancient10–130.0314%10 Jul →
dust213–16-0.039%10 Jul →
dust26–13-0.0415%10 Jul →
anubis11–13-0.007%29 Jun →
mirage11–130.0016%29 Jun →
nuke13–90.0112%28 Jun →
mirage6–130.018%28 Jun →
cache7–130.057%22 Jun →
cache13–110.0523%8 Jun →
cache13–90.0114%8 Jun →
cache9–130.038%8 Jun →
cache7–13-0.029%8 Jun →
cache13–40.008%8 Jun →
cache10–13-0.017%1 Jun →
cache7–13-0.0316%1 Jun →
cache13–1-0.007%1 Jun →
inferno13–3-0.045%1 Jun →
cache8–13-0.078%6 May →
cache11–130.0410%6 May →
cache5–13-0.0511%6 May →
cache13–20.0114%6 May →
cache13–30.0113%6 May →
cache4–13-0.018%6 May →
nuke4–13-0.0411%13 Apr →
dust26–13-0.070%10 Apr →
mirage13–30.0221%10 Apr →
dust215–15-0.0010%10 Apr →
inferno13–40.028%10 Apr →
ancient9–13-0.046%10 Apr →
anubis3–130.017%10 Apr →
ancient13–70.0811%10 Apr →
dust211–13-0.0314%10 Apr →
anubis13–50.0011%6 Apr →
nuke13–110.028%6 Apr →
dust213–100.0416%3 Apr →
ancient6–13-0.077%16 Mar →
anubis6–13-0.083%1 Mar →
dust29–13-0.0316%1 Mar →
nuke7–13-0.0419%1 Mar →
anubis13–3-0.029%1 Mar →
inferno10–13-0.0414%27 Feb →
mirage13–10-0.0219%27 Feb →
anubis8–13-0.088%27 Feb →
mirage13–50.0210%27 Feb →
nuke5–13-0.009%27 Feb →
dust213–60.1017%27 Feb →
nuke3–00.210%27 Feb →
inferno4–9-0.098%27 Feb →
nuke5–9-0.1119%27 Feb →
ancient10–13-0.0213%9 Feb →
inferno9–13-0.0613%8 Feb →
ancient11–130.0014%8 Feb →
inferno13–110.0010%8 Feb →
ancient13–11-0.0212%8 Feb →
ancient13–90.0310%23 Jan →
anubis13–90.0320%23 Jan →
dust213–60.0213%23 Jan →
dust213–60.0021%23 Jan →
train16–120.0416%19 Jan →
mirage13–11-0.0511%29 Dec →
ancient8–13-0.0520%27 Oct →
train13–100.0413%18 Nov →
anubis13–80.076%17 Nov →
ancient13–20.169%17 Nov →
ancient7–130.0417%16 Nov →
edin12–12-0.0212%16 Nov →

Match data via Leetify.

Recent teammates

Milestones

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

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