Carrot

Carrot — CS2 Stats

76561198155281569[U:1:195015841]Steam profile ↗✓ No bans

111Tracked matches74%Win rate2021Tracked since
CSDB Rating3.0 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 111 tracked matches. Play, then come back: the next observation lands here.

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. 43 days played since 3 Apr 2023. Come back after the next session and the change shows above.

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Rating over time

43Days played since 2023-04-03

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

Performance scores

Aim15
Positioning32
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY483814Last 10048%Win rateWWWWLWWLWT

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −4.3pp headshot accuracy · −44ms 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

  • 41 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 778ms

Last 10

  • 721 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 777ms

Last 20

  • 1532 · 75% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 799ms

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 (+1.6 against its own average).

Aim1.5
Utility1.7
Positioning3.2
Opening Duels0.0

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

jL

Plays most like jL 71% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 35% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 782ms 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

Aim1.5
Positioning3.2
Utility1.7
Mechanics3.8
Opening Duels0.7
Win Impact10.0

Composite 3.0/10 (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 -0.04 → last ⅓ avg -0.05
Reaction time770ms+60ms
first ⅓ avg 710ms → last ⅓ avg 770ms
Headshot accuracy13.3%+3.1%
first ⅓ avg 10.2% → last ⅓ avg 13.3%

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

0.12Best match rating · 9–1 · overpass, 3 May
32%Best headshot accuracy · 13–6 · cache, 29 Jul
422msFastest reaction time · 7–9 · dust2, 26 Apr
13–1Biggest win · mirage, 21 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
36In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 67% over 12infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB29141548%-0.04
dust2C26101638%-0.05
overpassB147750%-0.02
nukeS128467%-0.04
cacheS64267%-0.06
infernoD61517%-0.06
vertigo32167%-0.08
ancient110100%-0.06
anubis1010%-0.04
fachwerk1010%0.02
office110100%-0.07

Across the last 100 tracked matches.

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

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
25.6%Accuracy (enemy spotted)
26.5%Spray accuracy
67.0%Counter-strafing
10.7°Preaim
782msReaction time
12.1%T opening success
35.4%CT opening success
0.22Enemies flashed / flash
2.8%Flash assists
3.63HE damage / grenade
2.49Flashes / 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 13.5786% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 782.2454ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.219 — below the 0.5 mark we flag

    Grenade Lineups
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 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–50.032%17 Aug
nuke13–50.0125%14 Aug
nuke13–5-0.0711%14 Aug
dust213–7-0.0121%14 Aug
mirage10–13-0.080%11 Aug
nuke13–7-0.0214%10 Aug
nuke13–11-0.105%10 Aug
dust24–13-0.0611%8 Aug
dust213–8-0.0517%8 Aug
mirage12–12-0.0811%2 Aug
mirage13–10-0.087%31 Jul
ancient13–4-0.065%31 Jul
mirage12–12-0.0122%31 Jul
nuke12–6-0.0632%30 Jul
vertigo9–13-0.1210%30 Jul
nuke13–7-0.1018%29 Jul
mirage13–10-0.0120%29 Jul
cache13–5-0.099%29 Jul
cache13–6-0.0532%29 Jul
vertigo13–5-0.058%29 Jul
vertigo13–9-0.0711%29 Jul
mirage12–12-0.088%29 Jul
mirage13–3-0.069%29 Jul
mirage11–13-0.1114%22 Jul
mirage13–8-0.0424%22 Jul
anubis6–13-0.044%22 Jul
overpass8–13-0.0315%22 Jul
cache5–13-0.0917%21 Jul
mirage13–1-0.0117%21 Jul
mirage13–20.0313%21 Jul
dust213–5-0.0913%21 Jul
dust213–1-0.066%21 Jul
fachwerk9–130.028%20 Jul
dust211–13-0.118%20 Jul
nuke9–13-0.0125%18 Jul
inferno5–9-0.1723%18 Jul
mirage13–6-0.045%17 Jul
dust213–50.0214%16 Jul
nuke12–120.0117%16 Jul
nuke12–12-0.0311%16 Jul
mirage13–5-0.040%15 Jul
dust29–13-0.1114%15 Jul
dust213–8-0.0512%15 Jul
nuke3–13-0.1120%15 Jul
mirage9–13-0.0713%15 Jul
dust212–12-0.154%14 Jul
nuke13–8-0.077%14 Jul
dust26–130.0116%13 Jul
mirage13–4-0.054%13 Jul
dust212–12-0.0710%13 Jul
mirage13–7-0.038%12 Jul
dust22–13-0.0425%11 Jul
mirage0–13-0.077%11 Jul
inferno3–9-0.046%9 Jun
office9–5-0.0719%9 Jun
mirage8–80.1111%18 May
overpass8–8-0.068%18 May
mirage8–8-0.034%17 May
overpass6–9-0.0712%9 May
mirage4–9-0.0615%4 May
dust23–9-0.019%3 May
overpass9–10.1214%3 May
inferno9–50.0212%3 May
overpass2–9-0.0830%3 May
dust29–4-0.0613%3 May
overpass5–9-0.080%2 May
cache9–3-0.014%1 May
overpass16–90.003%1 May
cache2–9-0.0815%30 Apr
dust26–9-0.095%27 Apr
inferno2–9-0.090%27 Apr
mirage7–9-0.103%26 Apr
dust27–9-0.1010%26 Apr
dust23–9-0.1315%26 Apr
mirage9–2-0.060%25 Apr
dust28–8-0.098%25 Apr
dust21–9-0.1417%25 Apr
overpass5–9-0.010%24 Apr
mirage9–7-0.010%24 Apr
overpass9–6-0.0123%24 Apr
mirage9–6-0.104%24 Apr
inferno8–80.0214%24 Apr
dust29–60.0213%24 Apr
dust28–8-0.0531%24 Apr
overpass9–50.0812%24 Apr
inferno2–9-0.0713%22 Apr
dust29–60.0214%22 Apr
overpass9–50.0711%22 Apr
mirage2–9-0.060%21 Apr
mirage9–60.0612%13 Apr
mirage6–9-0.0622%12 Apr
overpass9–6-0.083%11 Apr
dust29–40.016%11 Apr
overpass2–9-0.0716%11 Apr
dust27–90.047%10 Apr
overpass9–7-0.073%10 Apr
mirage5–9-0.0719%7 Apr
dust28–8-0.095%6 Apr
cache9–5-0.0525%4 Apr
mirage7–90.049%3 Apr

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 →