IDidIt

IDidIt — CS2 Stats

US76561198451842050[U:1:491576322]Steam profile ↗✓ No bans

450Tracked matches42%Win rate2023Tracked since
258Hours in CS
CSDB Rating3.3 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 450 tracked matches. Play, then come back: the next observation lands here.

Rating over time

52Days played since 2026-01-18

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim41
Positioning32
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY32–53–15Last 10032%Win rateWLWLWTLLWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +5.0pp headshot accuracy · −13ms reaction

Win rate up 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 -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 670ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 646ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 652ms

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 (+1.8 against its own average).

Aim4.1
Utility4.3
Positioning3.2
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

ZywOo

Plays most like ZywOo 83% 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. 674ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.1
Positioning3.2
Utility4.3
Mechanics3.8
Opening Duels0.0
Win Impact2.4

Composite 3.3/10 (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-0.05−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time676ms−35ms
first ⅓ avg 710ms → last ⅓ avg 676ms
Headshot accuracy12.7%−1.1%
first ⅓ avg 13.8% → last ⅓ avg 12.7%

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

0.09Best match rating · 13–3 · agency, 18 Jan →
43%Best headshot accuracy · 3–13 · dust2, 15 Apr →
445msFastest reaction time · 4–13 · office, 5 Jun →
13–1Biggest win · dust2, 13 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–5In matches decided by ≤2 rounds

Map breakdown

officeBest map · 41% over 17infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C176–1135%-0.04
officeC177–1041%-0.05
infernoD122–1017%-0.08
mirageD103–730%-0.05
nukeD103–730%-0.05
cacheD82–625%-0.05
anubisC52–340%-0.05
vertigo—41–325%-0.02
ancient—42–250%-0.03
overpass—30–30%-0.08
shelter—21–150%0.01
warden—21–150%-0.06
stronghold—20–20%-0.04
fachwerk—11–0100%-0.04
poseidon—10–10%-0.10
train—10–10%0.02
agency—11–0100%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,542Lifetime kills
0.84K/D
739Matches
35.5%Match win rate
32.4%Headshot %
6.2%Shot accuracy
934MVPs
258Hours (in match)
649Bombs planted
89Bombs defused

Most-used weapons

Lifetime map wins

1,214dust2
948nuke
702inferno
596vertigo
377train
204office
8italy
8cbble

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

Faceit stats

Combat

4Matches
50%Win rate
0.66Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo2100%0.6811.0
Mirage10%1.0014.0
Inferno10%0.285.0

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.

13.6%Headshot accuracy
34.4%Accuracy (enemy spotted)
33.7%Spray accuracy
67.1%Counter-strafing
10.3°Preaim
674msReaction time
22.8%T opening success
18.1%CT opening success
0.43Enemies flashed / flash
2.7%Flash assists
5.99HE damage / grenade
10.75Flashes / 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 13.5713% — 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 0.4326 — 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 22.763% — below the 40% mark we flag

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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0310%10 Aug →
dust26–13-0.0840%9 Aug →
vertigo13–9-0.0214%21 Jul →
office6–13-0.090%20 Jul →
office13–4-0.1030%20 Jul →
inferno12–12-0.1115%20 Jul →
ancient5–13-0.026%15 Jul →
mirage7–13-0.0420%15 Jul →
dust213–10.016%13 Jul →
shelter13–11-0.0517%10 Jul →
fachwerk13–11-0.0413%10 Jul →
shelter7–130.077%10 Jul →
nuke12–12-0.0819%7 Jul →
dust28–13-0.0124%7 Jul →
warden12–12-0.059%2 Jul →
poseidon4–9-0.100%26 Jun →
nuke9–13-0.048%26 Jun →
inferno10–13-0.0811%24 Jun →
office5–13-0.059%24 Jun →
cache13–10-0.098%23 Jun →
office13–7-0.067%23 Jun →
dust24–13-0.1028%21 Jun →
overpass10–13-0.0932%21 Jun →
office13–8-0.0522%21 Jun →
inferno6–13-0.0228%20 Jun →
overpass4–13-0.088%18 Jun →
dust213–10-0.105%16 Jun →
nuke7–13-0.070%16 Jun →
mirage13–7-0.070%14 Jun →
cache1–7-0.040%14 Jun →
cache12–12-0.025%12 Jun →
ancient6–13-0.0613%12 Jun →
office13–90.015%11 Jun →
mirage10–13-0.070%11 Jun →
dust212–12-0.0129%7 Jun →
inferno10–13-0.0517%7 Jun →
inferno2–13-0.0316%5 Jun →
vertigo4–130.048%5 Jun →
office4–130.0319%5 Jun →
mirage0–13-0.0610%5 Jun →
office9–13-0.0220%4 Jun →
office12–12-0.080%3 Jun →
mirage10–13-0.036%3 Jun →
vertigo9–13-0.0112%2 Jun →
vertigo4–11-0.070%30 May →
office11–13-0.080%30 May →
office12–12-0.0523%30 May →
mirage7–13-0.0618%30 May →
anubis13–4-0.078%27 May →
cache12–12-0.0710%27 May →
inferno12–12-0.068%26 May →
office13–6-0.0835%26 May →
cache13–8-0.0219%26 May →
cache1–13-0.0810%22 May →
train12–120.029%21 May →
office10–13-0.110%13 May →
office13–5-0.0421%13 May →
cache7–13-0.060%6 May →
inferno1–9-0.099%6 May →
office13–5-0.0612%6 May →
office11–130.0117%2 May →
cache12–12-0.0312%1 May →
dust212–120.0121%23 Apr →
inferno7–9-0.217%18 Apr →
nuke11–13-0.0027%15 Apr →
dust23–130.0043%15 Apr →
inferno7–13-0.0222%5 Apr →
dust213–10-0.0331%5 Apr →
inferno13–8-0.080%2 Apr →
mirage7–13-0.0118%1 Apr →
mirage13–10-0.0638%29 Mar →
dust28–13-0.029%29 Mar →
nuke13–80.0312%29 Mar →
inferno4–13-0.0718%28 Mar →
nuke10–13-0.0819%28 Mar →
overpass12–12-0.0719%28 Mar →
office0–6-0.120%22 Mar →
nuke8–13-0.0722%22 Mar →
anubis13–10-0.0123%11 Mar →
inferno13–10-0.116%4 Mar →
nuke8–8-0.108%4 Mar →
anubis7–13-0.0610%27 Feb →
dust213–11-0.0414%27 Feb →
dust211–13-0.0613%26 Feb →
anubis3–13-0.026%22 Feb →
mirage13–5-0.036%22 Feb →
ancient13–9-0.055%22 Feb →
nuke13–9-0.0612%22 Feb →
dust212–12-0.0213%22 Feb →
dust213–5-0.0119%28 Jan →
anubis10–13-0.0616%26 Jan →
stronghold12–12-0.059%25 Jan →
warden13–7-0.0810%25 Jan →
dust210–13-0.0413%24 Jan →
stronghold8–13-0.0318%24 Jan →
mirage6–13-0.099%18 Jan →
dust28–13-0.067%18 Jan →
ancient7–1-0.0120%18 Jan →
nuke8–13-0.0313%18 Jan →
agency13–30.0920%18 Jan →

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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