IzeCold213

IzeCold213 — CS2 Stats

DE76561198018089571[U:1:57823843]Steam profile ↗✓ No bans

373Tracked matches43%Win rate2020Tracked since
532Hours in CS
CSDB Rating2.6 LearningSupport
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 2,729 -4,968 18 Sept – 20 Feb · 24 days played
2,7297,697peak 7,69718 Sept20 Feb
7,697Peak Premier in tracked matches
46Days played since 2025-09-18

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

Performance scores

Aim16
Positioning42
Utility51

0–100 skill scores via Leetify.

Recent form

COLD35–54–11Last 10035%Win rateWLTTWLLWTL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · −68ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 736ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 676ms

Last 20

  • 6–9–5 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 710ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim1.6
Utility5.1
Positioning4.2
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 50% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 662ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim1.6
Positioning4.2
Utility5.1
Mechanics1.5
Opening Duels0.3
Win Impact2.6

Composite 2.6/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time693ms+49ms
first ⅓ avg 644ms → last ⅓ avg 693ms
Headshot accuracy12.6%+0.9%
first ⅓ avg 11.7% → last ⅓ avg 12.6%

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

0.25Best match rating · 9–2 · sanctum, 23 Feb →
31%Best headshot accuracy · 8–8 · poseidon, 18 Feb →
477msFastest reaction time · 11–13 · ancient, 14 Feb →
10–0Biggest win · train, 16 Jan →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
overpassD164–1225%-0.01
poseidonD155–1033%-0.01
ancientD133–1023%-0.03
nukeB105–550%-0.02
dust2C104–640%-0.02
infernoD93–633%-0.03
mirageD72–529%-0.04
sanctumD62–433%-0.03
trainB63–350%0.01
anubisS54–180%-0.01
vertigo—30–30%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,293Lifetime kills
0.91K/D
1,896Matches
37.9%Match win rate
36.1%Headshot %
17.0%Shot accuracy · Top 25% of tracked players
3,519MVPs
532Hours (in match)
1,228Bombs planted
195Bombs defused

Most-used weapons

Lifetime map wins

2,097inferno
1,595dust2
1,111cbble
873train
652nuke
402vertigo
156bank
127lake

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.

11.5%Headshot accuracy
28.9%Accuracy (enemy spotted)
34.2%Spray accuracy
56.5%Counter-strafing
14.0°Preaim
662msReaction time
23.0%T opening success
32.0%CT opening success
0.60Enemies flashed / flash
6.5%Flash assists
7.87HE damage / grenade
5.03Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9742° — above the 12° mark we flag

    Aim Training →
  2. 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 11.5203% — below the 15% mark we flag

    Aim Training →
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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–13-0.0116%4 Aug →
inferno8–13-0.0517%4 Aug →
mirage12–12-0.048%2 Aug →
dust212–120.0316%2 Aug →
inferno16–14-0.028%15 Jul →
nuke10–13-0.0113%3 Jul →
poseidon6–9-0.057%11 Mar →
poseidon9–10.0022%11 Mar →
poseidon8–80.0814%11 Mar →
sanctum7–90.0119%23 Feb →
sanctum9–20.2516%23 Feb →
poseidon9–70.018%23 Feb →
poseidon8–8-0.0714%23 Feb →
poseidon4–9-0.1411%23 Feb →
mirage11–13-0.049%20 Feb →
inferno3–13-0.0911%19 Feb →
ancient5–13-0.076%19 Feb →
poseidon9–30.0714%18 Feb →
sanctum2–9-0.229%18 Feb →
poseidon8–80.1331%18 Feb →
overpass10–13-0.067%17 Feb →
anubis13–11-0.0513%15 Feb →
mirage13–50.017%15 Feb →
ancient11–13-0.039%14 Feb →
anubis13–10-0.0316%14 Feb →
dust210–13-0.013%14 Feb →
poseidon9–50.1417%14 Feb →
anubis13–10-0.0113%13 Feb →
anubis10–130.0316%13 Feb →
mirage8–13-0.0819%13 Feb →
poseidon8–8-0.099%13 Feb →
nuke13–11-0.058%12 Feb →
overpass16–12-0.0310%12 Feb →
mirage7–13-0.0416%11 Feb →
nuke10–13-0.0521%11 Feb →
overpass11–13-0.0410%11 Feb →
overpass7–13-0.013%11 Feb →
ancient13–50.0315%10 Feb →
ancient13–80.0014%8 Feb →
sanctum8–80.0817%2 Feb →
sanctum5–9-0.196%30 Jan →
poseidon8–80.0314%30 Jan →
ancient13–10-0.065%29 Jan →
inferno13–4-0.0113%28 Jan →
poseidon7–9-0.026%28 Jan →
poseidon0–9-0.230%28 Jan →
poseidon8–8-0.043%27 Jan →
poseidon9–50.0723%27 Jan →
vertigo2–9-0.267%26 Jan →
sanctum9–5-0.0910%26 Jan →
overpass9–60.1213%26 Jan →
nuke9–5-0.123%25 Jan →
inferno6–9-0.0516%25 Jan →
nuke6–13-0.0311%24 Jan →
mirage14–16-0.0211%24 Jan →
anubis13–70.019%24 Jan →
train13–9-0.0118%21 Jan →
vertigo12–120.027%21 Jan →
dust27–130.0114%19 Jan →
inferno13–16-0.0212%19 Jan →
overpass10–13-0.0216%19 Jan →
ancient8–13-0.037%18 Jan →
mirage13–4-0.0513%18 Jan →
dust28–13-0.0412%16 Jan →
overpass11–13-0.0216%16 Jan →
train10–0-0.0316%16 Jan →
overpass13–70.0211%15 Jan →
dust210–13-0.017%15 Jan →
vertigo5–13-0.0517%15 Jan →
overpass3–13-0.0612%14 Jan →
ancient6–130.018%14 Jan →
dust213–11-0.073%13 Jan →
dust213–80.0315%13 Jan →
nuke1–13-0.067%12 Jan →
overpass11–130.016%12 Jan →
ancient2–130.007%11 Jan →
train13–110.037%11 Jan →
inferno5–130.0214%11 Jan →
train6–130.0721%10 Jan →
dust213–11-0.007%9 Jan →
ancient4–13-0.078%9 Jan →
train7–13-0.0411%9 Jan →
nuke8–13-0.017%8 Jan →
ancient2–13-0.076%8 Jan →
ancient8–13-0.055%7 Jan →
overpass14–16-0.068%7 Jan →
inferno13–9-0.0013%6 Jan →
dust25–13-0.0723%6 Jan →
overpass14–16-0.0118%4 Jan →
overpass8–13-0.0116%3 Jan →
nuke9–40.0820%3 Jan →
overpass15–15-0.0210%11 Dec →
nuke10–40.025%11 Dec →
train6–130.0210%11 Dec →
overpass13–8-0.018%22 Sept →
ancient9–13-0.0616%22 Sept →
ancient11–13-0.0112%21 Sept →
overpass8–13-0.0315%19 Sept →
inferno3–9-0.0422%19 Sept →
dust213–7-0.0222%18 Sept →

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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