izzy♡

izzy♡ — CS2 Stats

US76561198862491519[U:1:902225791]Steam profile ↗✓ No bans

1,522Tracked matches44%Win rate2020Tracked since
CSDB Rating3.5 LearningPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 27 days played since 31 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,999 +278 31 Jan8 Feb · 5 days played
9,6629,999peak 9,99931 Jan8 Feb
9,999Peak Premier in tracked matches
926Highest Faceit ELO seen on CSDB
27Days played since 2026-01-31

Faceit ELO

  • At peak — 926
  • Next: Level 5 at 1,051 125 to go
  • Reached: Level 4 · Level 3 · Level 2

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

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CSDB.GGizzy♡PEAK ELO926csdb.gg/stats

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Performance scores

Aim46
Positioning49
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY474310Last 10047%Win rateWWWWTWLLTL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.6pp headshot accuracy · +37ms 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

  • 401 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 747ms

Last 10

  • 532 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 657ms

Last 20

  • 7112 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 639ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim4.6
Utility1.4
Positioning4.9
Opening Duels1.3
Clutch4.2

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

iM

Plays most like iM 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.6
Positioning4.9
Utility1.4
Mechanics4.0
Opening Duels4.5
Win Impact3.1

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time620ms−26ms
first ⅓ avg 646ms → last ⅓ avg 620ms
Headshot accuracy10.4%−0.2%
first ⅓ avg 10.5% → last ⅓ avg 10.4%

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

0.10Best match rating · 13–2 · nuke, 1 Mar
21%Best headshot accuracy · 5–13 · vertigo, 21 Sept
438msFastest reaction time · 10–13 · cache, 19 Sept
12–1Biggest win · anubis, 11 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
53In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 67% over 6dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB24111346%-0.04
nukeA2112957%-0.01
anubisB147750%-0.04
infernoC94544%-0.05
ancientC83538%-0.05
dust2D72529%-0.04
vertigoD72529%-0.03
cacheS64267%-0.02
overpass21150%-0.06
train110100%-0.00
alpine1010%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

93Matches
51%Win rate
0.77Avg K/D
65.5ADR
38%Headshot %

Clutches & streaks

41%1v1 clutch win
7%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3057%0.7810.9
Nuke1662%0.9010.2
Ancient1338%0.6610.1
Vertigo933%0.6110.3
Anubis729%0.8713.4
Train771%0.7511.7
Inferno617%0.6712.2
Overpass3100%0.9914.7

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.

10.1%Headshot accuracy
31.8%Accuracy (enemy spotted)
39.6%Spray accuracy
68.1%Counter-strafing
9.8°Preaim
609msReaction time
51.8%T opening success
44.3%CT opening success
0.13Enemies flashed / flash
0.0%Flash assists
6.68HE damage / grenade
0.54Flashes / 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 10.1206% — 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 0.1329 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0210%23 Sept
mirage13–4-0.0313%23 Sept
mirage13–30.007%23 Sept
dust213–60.0111%22 Sept
nuke15–150.0110%21 Sept
cache13–9-0.0113%21 Sept
vertigo5–13-0.0721%21 Sept
mirage10–13-0.083%20 Sept
anubis12–12-0.0316%20 Sept
mirage5–13-0.045%20 Sept
mirage5–13-0.036%19 Sept
cache10–13-0.0710%19 Sept
cache13–16-0.0412%19 Sept
cache13–80.0310%19 Sept
nuke7–13-0.035%19 Sept
anubis16–19-0.076%19 Sept
mirage13–7-0.0610%19 Sept
ancient3–13-0.056%19 Sept
inferno6–13-0.1114%19 Sept
anubis0–7-0.0114%19 Sept
vertigo12–120.0210%14 Sept
anubis13–4-0.0511%14 Sept
train8–1-0.006%14 Sept
ancient13–6-0.0310%14 Sept
nuke4–13-0.0618%14 Sept
inferno13–5-0.056%14 Sept
mirage13–5-0.0714%14 Sept
nuke9–130.0212%11 Sept
anubis1–13-0.089%11 Sept
mirage10–130.019%11 Sept
anubis12–1-0.0113%11 Sept
nuke12–12-0.0313%11 Sept
ancient7–13-0.0310%9 Sept
anubis13–11-0.0512%9 Sept
nuke13–9-0.0613%31 Aug
nuke13–90.016%30 Aug
mirage13–3-0.0211%30 Aug
mirage0–5-0.080%30 Aug
vertigo12–12-0.064%30 Aug
mirage8–13-0.079%30 Aug
nuke13–90.0210%30 Aug
inferno10–13-0.089%28 Aug
anubis13–11-0.0611%28 Aug
cache13–9-0.007%28 Aug
cache13–2-0.068%25 Aug
nuke16–14-0.044%25 Aug
overpass4–13-0.063%25 May
dust23–13-0.1310%25 May
mirage8–13-0.0717%25 May
inferno13–6-0.015%25 May
dust212–12-0.017%27 Mar
nuke8–13-0.0713%27 Mar
mirage13–10-0.034%27 Mar
inferno13–10-0.009%27 Mar
ancient7–13-0.0611%27 Mar
inferno13–11-0.0414%22 Mar
dust212–12-0.0420%22 Mar
nuke11–13-0.0214%22 Mar
anubis13–10-0.058%22 Mar
vertigo13–5-0.016%22 Mar
mirage13–2-0.0518%22 Mar
overpass13–9-0.0612%22 Mar
mirage7–13-0.0810%21 Mar
dust26–13-0.077%15 Mar
mirage13–50.019%15 Mar
nuke13–6-0.002%8 Mar
inferno9–130.008%8 Mar
mirage13–10-0.0315%8 Mar
ancient13–90.0411%1 Mar
nuke13–40.0210%1 Mar
mirage7–13-0.0912%1 Mar
nuke13–20.107%1 Mar
nuke12–12-0.057%22 Feb
vertigo9–13-0.0412%17 Feb
anubis11–13-0.0114%11 Feb
anubis13–9-0.039%8 Feb
ancient3–13-0.1018%4 Feb
vertigo13–4-0.0414%4 Feb
anubis15–15-0.055%4 Feb
nuke13–50.024%4 Feb
anubis13–8-0.004%4 Feb
mirage14–160.009%2 Feb
nuke13–8-0.0312%1 Feb
mirage13–30.0013%1 Feb
mirage7–13-0.0613%1 Feb
anubis6–13-0.0613%1 Feb
nuke13–10-0.0112%1 Feb
alpine10–13-0.0112%1 Feb
ancient3–13-0.095%1 Feb
dust27–13-0.047%1 Feb
vertigo5–13-0.0313%1 Feb
nuke13–80.0413%31 Jan
ancient13–9-0.0515%31 Jan
mirage6–13-0.074%31 Jan
inferno7–13-0.103%31 Jan
nuke15–15-0.078%31 Jan
inferno10–13-0.0918%31 Jan
nuke13–9-0.026%31 Jan
mirage13–11-0.0418%31 Jan
mirage6–13-0.0012%31 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →