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Carton — CS2 Stats

76561199082192453[U:1:1121926725]

605Tracked matches54%Win rate2020Tracked since
2,098Hours in CS22Hrs last 2 wks
CSDB Rating2.8 Learning
Premier CS Rating11,707Blue band · top ~45.9% of ranked players (population est.)
CSDB Leaderboard#31757 of 45950 tracked
FaceitLevel 2 · 582 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate31.5%41.2%42.2%10.7% short
Shot accuracy9.2%12.5%11.9%2.7% short
Kill/death ratio0.630.960.980.34 short
Match win rate39.8%42.8%43.6%3.8% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCartonFACEITLevel 2 · 582 ELOSTANDINGTop 97.9% of rankedPREMIER11,707 · Blue bandcsdb.gg/stats

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Performance scores

Aim16
Positioning41
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateWWWLLWWLWL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Aim1.6
Aggression7.6
Utility4.5
Positioning4.1
Opening Duels2.5
Clutch1.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 75% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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. 554ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% 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
Positioning4.1
Utility4.5
Mechanics0.4
Opening Duels2.5
Win Impact6.2

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time563ms−35ms
first ⅓ avg 598ms → last ⅓ avg 563ms
Headshot accuracy8.5%−1.5%
first ⅓ avg 10.0% → last ⅓ avg 8.5%

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.

Highlights

0.09Best rating — ancient 4–3
13–1Biggest win — cache
3Longest win streak
W3Current streak
3–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 46% over 13ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC2611–1542%-0.05
dust2C2511–1444%-0.05
ancientD165–1131%-0.04
anubisD155–1033%-0.05
nukeB136–746%-0.05
cache—32–167%-0.02
mirage—21–150%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,273Lifetime kills
0.63K/D
2,586Matches
39.8%Match win rate
31.5%Headshot %
9.2%Shot accuracy
2,812MVPs
1,265Hours (in match)
1,345Bombs planted
408Bombs defused

Most-used weapons

M4A4 / M4A1-S9,066
AK-475,836
AWP5,508
P2000 / USP-S2,465
MAC-101,665
Glock-181,596
Galil AR1,353
MP91,308
FAMAS1,217
Knife864

Lifetime map wins

8,410inferno
6,025dust2
2,417nuke
967train
112vertigo
48safehouse
10sugarcane
8italy

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

Faceit stats

Combat

902Matches
48%Win rate
0.65Avg K/D
57.7ADR
27%Headshot %

Clutches & streaks

25%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust26555%0.6610.5
Inferno5360%0.659.6
Anubis4643%0.599.8
Nuke4240%0.548.9
Ancient3534%0.589.6
Mirage333%1.1620.3
Train1100%0.578.0

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.

9.2%Headshot accuracy
27.8%Accuracy (enemy spotted)
27.1%Spray accuracy
51.8%Counter-strafing
12.7°Preaim
554msReaction time
39.4%T opening success
40.9%CT opening success
0.45Enemies flashed / flash
6.2%Flash assists
9.66HE damage / grenade
2.09Flashes / 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 12.6516° — 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 9.1561% — below the 15% 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 0.4538 — below the 0.5 mark we flag

    Grenade Lineups →
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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–5-0.097%29 Aug →
mirage13–8-0.086%29 Aug →
inferno13–3-0.030%29 Aug →
dust22–13-0.0710%28 Aug →
dust29–13-0.0518%28 Aug →
cache13–7-0.040%28 Aug →
dust213–6-0.0110%28 Aug →
mirage5–13-0.046%28 Aug →
ancient13–70.0018%27 Aug →
ancient4–130.015%26 Aug →
nuke13–7-0.106%26 Aug →
ancient12–120.013%24 Aug →
inferno8–13-0.025%24 Aug →
nuke10–13-0.0513%24 Aug →
nuke13–6-0.0018%24 Aug →
ancient4–30.090%24 Aug →
dust211–13-0.0512%23 Aug →
ancient1–13-0.1612%23 Aug →
nuke11–13-0.075%23 Aug →
dust216–13-0.0410%23 Aug →
nuke15–15-0.039%23 Aug →
dust29–13-0.0511%23 Aug →
ancient11–13-0.0416%23 Aug →
cache11–13-0.047%23 Aug →
inferno13–6-0.0512%21 Aug →
anubis13–6-0.0314%21 Aug →
dust29–13-0.078%19 Aug →
inferno16–14-0.0213%19 Aug →
anubis13–6-0.090%19 Aug →
cache13–10.0212%15 Aug →
dust26–13-0.103%15 Aug →
dust213–7-0.053%8 Aug →
anubis13–50.018%8 Aug →
nuke13–5-0.055%8 Aug →
inferno9–13-0.049%8 Aug →
inferno13–8-0.045%8 Aug →
ancient5–13-0.116%4 Aug →
inferno8–13-0.065%4 Aug →
nuke13–10-0.049%4 Aug →
inferno11–13-0.069%25 Jul →
ancient16–12-0.026%25 Jul →
inferno13–60.0610%16 Apr →
dust213–11-0.028%16 Apr →
inferno8–13-0.0715%15 Apr →
dust213–40.033%15 Apr →
ancient13–10-0.056%15 Apr →
dust210–13-0.065%15 Apr →
anubis14–16-0.0514%15 Apr →
ancient10–13-0.092%14 Apr →
dust28–13-0.029%13 Apr →
inferno8–13-0.063%13 Apr →
inferno7–13-0.075%13 Apr →
nuke13–8-0.074%13 Apr →
ancient6–13-0.052%13 Apr →
dust213–3-0.030%13 Apr →
inferno13–9-0.0215%12 Apr →
dust213–10-0.070%12 Apr →
nuke4–13-0.0313%12 Apr →
ancient13–10-0.062%11 Apr →
inferno13–30.013%11 Apr →
dust27–13-0.108%11 Apr →
dust24–13-0.104%10 Apr →
anubis13–7-0.0213%10 Apr →
inferno9–13-0.056%7 Apr →
anubis7–13-0.049%7 Apr →
inferno13–10-0.073%7 Apr →
ancient7–13-0.0710%5 Apr →
anubis7–13-0.075%5 Apr →
dust211–3-0.0624%5 Apr →
inferno13–10-0.093%4 Apr →
nuke9–13-0.060%4 Apr →
anubis5–13-0.0215%4 Apr →
inferno6–13-0.067%1 Apr →
anubis16–13-0.022%1 Apr →
dust29–13-0.106%1 Apr →
anubis9–13-0.1110%28 Mar →
dust27–13-0.0512%27 Mar →
nuke11–13-0.074%23 Mar →
dust22–13-0.016%23 Mar →
anubis3–13-0.0511%23 Mar →
ancient1–9-0.07100%22 Mar →
inferno0–80.000%18 Mar →
anubis7–130.035%18 Mar →
inferno13–3-0.050%18 Mar →
nuke13–6-0.053%18 Mar →
inferno7–13-0.045%18 Mar →
dust27–13-0.0210%18 Mar →
ancient15–15-0.034%18 Mar →
inferno5–13-0.045%16 Mar →
dust213–9-0.0414%14 Mar →
anubis11–13-0.0510%14 Mar →
inferno13–6-0.057%14 Mar →
anubis1–13-0.107%14 Mar →
inferno10–13-0.089%14 Mar →
anubis6–13-0.0915%14 Mar →
ancient9–130.004%13 Mar →
inferno8–13-0.086%13 Mar →
inferno7–13-0.120%10 Mar →
nuke9–13-0.023%8 Mar →
dust213–10-0.0114%8 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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