Im New Here

Im New Here — CS2 Stats

76561198080602218[U:1:120336490]Steam profile ↗✓ No bans

257Tracked matches28%Win rate2020Tracked since
CSDB Rating4.6 DevelopingAll-Rounder
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim65
Positioning46
Utility44

0–100 skill scores via Leetify.

Recent form

COLD384913Last 10038%Win rateLLLWTLLTLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +8.0pp headshot accuracy · −67ms reaction

Win rate −10pp 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

  • 131 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 608ms

Last 10

  • 172 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 576ms

Last 20

  • 3125 · 15% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 609ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.5
Utility4.4
Positioning4.6
Opening Duels4.2

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

ZywOo

Plays most like ZywOo 93% 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

T-side openings. Opening success drops from 56% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim6.5
Positioning4.6
Utility4.4
Mechanics5.1
Opening Duels3.4
Win Impact0.0

Composite 4.6/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time609ms−28ms
first ⅓ avg 638ms → last ⅓ avg 609ms
Headshot accuracy17.1%+4.9%
first ⅓ avg 12.2% → last ⅓ avg 17.1%

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 · 9–4 · inferno, 17 Jun
60%Best headshot accuracy · 13–4 · inferno, 3 Nov
438msFastest reaction time · 1–13 · vertigo, 4 Feb
13–0Biggest win · cache, 20 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
510In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 67% over 6trainWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2091145%-0.00
cacheD1941521%0.00
infernoB189950%0.02
nukeD93633%0.01
trainD71614%-0.03
vertigoD72529%-0.00
dust2S64267%-0.01
ancientD62433%-0.02
overpassA53260%0.01
anubis21150%-0.05
grail1010%-0.05

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.

17.0%Headshot accuracy
35.2%Accuracy (enemy spotted)
39.9%Spray accuracy
73.0%Counter-strafing
9.7°Preaim
607msReaction time
31.9%T opening success
55.7%CT opening success
0.61Enemies flashed / flash
3.8%Flash assists
11.68HE damage / grenade
3.57Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5688 — below the 4 mark we flag

    Grenade Lineups
  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 31.9178% — below the 40% mark we flag

Spend your practice time on Train

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0329%30 Jul
cache6–13-0.0327%24 Jul
cache9–13-0.0625%24 Jul
cache10–4-0.0219%24 Jul
cache12–12-0.0228%6 Jul
cache2–4-0.0430%6 Jul
cache10–13-0.0224%30 Jun
cache12–12-0.0219%26 Jun
inferno3–9-0.093%24 Jun
train8–13-0.0216%23 Jun
train1–13-0.0617%20 Jun
train9–13-0.0113%20 Jun
cache13–00.0924%20 Jun
cache5–13-0.0414%3 Jun
cache13–20.0815%11 May
cache12–12-0.058%8 May
cache11–130.0412%8 May
cache12–120.0310%7 May
cache11–13-0.0213%5 May
cache12–12-0.0012%5 May
cache7–13-0.0618%3 May
cache13–60.1311%3 May
cache11–130.1518%2 May
inferno8–8-0.0514%4 Apr
dust210–13-0.039%3 Apr
mirage11–130.0210%3 Apr
mirage13–80.0111%1 Apr
inferno13–60.039%1 Apr
mirage13–50.0111%31 Mar
mirage8–130.0520%28 Mar
inferno4–13-0.0217%28 Mar
nuke7–120.0036%26 Mar
mirage5–13-0.0823%26 Mar
nuke6–13-0.035%4 Feb
vertigo1–13-0.0413%4 Feb
mirage13–110.0918%27 Jan
nuke11–13-0.010%23 Jan
mirage11–13-0.0112%23 Jan
train4–13-0.0221%19 Jan
mirage13–60.0211%19 Jan
overpass11–130.0216%18 Jan
inferno13–110.0118%18 Jan
nuke13–40.0537%18 Jan
ancient2–13-0.0417%18 Jan
anubis7–13-0.0615%16 Jan
overpass13–10.054%15 Jan
vertigo13–80.0811%15 Jan
ancient7–13-0.0024%13 Jan
train10–130.0325%13 Jan
overpass13–80.0311%5 Jan
mirage9–13-0.0213%20 Dec
inferno10–13-0.0317%20 Dec
inferno12–12-0.0120%19 Dec
dust27–30.0522%17 Dec
overpass3–13-0.036%17 Dec
mirage13–40.0615%17 Dec
mirage6–13-0.018%3 Nov
dust28–13-0.0619%3 Nov
inferno13–40.0160%3 Nov
mirage11–130.0416%8 Jul
mirage15–15-0.035%3 Jul
vertigo13–60.0520%3 Jul
mirage16–140.0115%26 Jun
inferno3–9-0.0516%26 Jun
ancient12–120.0114%22 Jun
ancient9–13-0.0621%21 Jun
nuke8–13-0.0616%21 Jun
dust213–5-0.0113%19 Jun
mirage13–8-0.0313%19 Jun
vertigo2–9-0.0616%18 Jun
inferno9–50.1911%18 Jun
inferno10–13-0.060%18 Jun
nuke9–70.188%17 Jun
inferno9–40.258%17 Jun
dust213–50.028%16 Jun
nuke0–13-0.0412%16 Jun
overpass13–30.0017%13 Jun
dust213–80.0010%30 May
nuke13–0-0.0416%30 May
vertigo4–130.0020%30 May
inferno13–100.046%29 May
mirage13–5-0.0412%9 May
nuke15–150.068%9 May
grail5–13-0.0513%9 May
mirage13–11-0.0611%3 May
ancient13–70.0215%3 May
anubis13–8-0.0421%3 May
inferno13–80.0129%3 May
inferno9–40.1314%3 May
mirage10–13-0.049%18 Mar
inferno12–120.069%18 Mar
train3–13-0.114%18 Mar
mirage12–12-0.0315%29 Dec
mirage11–130.0119%26 Dec
train13–10-0.0111%26 Dec
inferno9–13-0.076%28 Oct
vertigo8–13-0.097%22 Sept
inferno10–10.0018%22 Sept
ancient13–8-0.0412%22 Sept
vertigo12–120.0512%13 Aug

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 →