CarryMePlz — CS2 Stats

76561198181330777[U:1:221065049]

313Tracked matches32%Win rate2021Tracked since
CSDB Rating3.6 LearningClutch Specialist
Ladder ranks via Leetify

Performance scores

Aim40
Positioning44
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY33634Last 10033%Win rateWWLLLLWLWT

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim4.0
Aggression4.5
Utility3.6
Positioning4.4
Opening Duels0.3
Clutch10.0

Strong CT-side openerReliable in 1v1s

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

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 693ms 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

Aim4.0
Positioning4.4
Utility3.6
Mechanics5.9
Opening Duels1.2
Win Impact0.0

Composite 3.6/10 (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+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time698ms+22ms
first ⅓ avg 677ms → last ⅓ avg 698ms
Headshot accuracy13.7%+1.4%
first ⅓ avg 12.3% → last ⅓ avg 13.7%

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.

Highlights

0.12Best rating — ancient 12–1
132Biggest win — mirage
3Longest win streak
W2Current streak
37In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 50% over 6nukeWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC31121939%-0.03
ancientC1971237%-0.03
vertigoC145936%-0.04
trainD102820%-0.03
anubisD82625%-0.03
mirageB63350%-0.03
nukeD6060%-0.03
dust242250%-0.02
overpass2020%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
67%Win rate
0.95Avg K/D
66.3ADR
33%Headshot %

Clutches & streaks

100%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.768.5
Anubis1100%1.3316.0

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.

13.7%Headshot accuracy
33.9%Accuracy (enemy spotted)
32.6%Spray accuracy
76.7%Counter-strafing
11.9°Preaim
693msReaction time
22.8%T opening success
39.4%CT opening success
0.53Enemies flashed / flash
3.6%Flash assists
5.21HE damage / grenade
6.19Flashes / 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 13.6907% — below the 15% mark we flag

    Aim Training
  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 22.8186% — below the 40% mark we flag

Spend your practice time on Nuke

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–50.019%13 Aug
inferno13–9-0.0216%13 Aug
anubis13–16-0.0616%13 Aug
ancient5–13-0.124%9 May
ancient5–13-0.0536%9 May
overpass10–13-0.0014%9 May
inferno8–3-0.0119%9 May
inferno7–130.0113%16 Mar
inferno13–6-0.0010%16 Mar
inferno12–120.0016%16 Mar
mirage7–13-0.075%14 Mar
inferno4–13-0.035%14 Mar
inferno6–130.0324%11 Mar
inferno6–13-0.0614%11 Mar
inferno12–120.0215%5 Jan
ancient9–13-0.0219%5 Jan
ancient5–13-0.0514%5 Jan
train5–13-0.0510%6 Jul
ancient8–13-0.0614%6 Jul
inferno13–50.0513%6 Jul
train13–110.0112%7 May
inferno3–13-0.0111%4 May
vertigo3–13-0.018%4 May
inferno13–90.0515%29 Apr
anubis14–16-0.0411%22 Apr
mirage13–5-0.0122%21 Apr
vertigo7–13-0.0313%21 Apr
mirage6–130.0112%21 Apr
inferno8–13-0.079%20 Apr
train8–40.026%19 Apr
ancient13–9-0.0224%19 Apr
nuke11–13-0.0512%17 Apr
inferno13–9-0.0510%17 Apr
inferno9–13-0.038%17 Apr
dust210–13-0.0616%16 Apr
inferno13–70.017%16 Apr
anubis6–13-0.013%16 Apr
inferno13–6-0.029%15 Apr
anubis13–50.0116%15 Apr
mirage10–13-0.069%13 Apr
nuke7–13-0.028%13 Apr
train11–130.008%12 Apr
mirage13–2-0.0513%12 Apr
dust213–6-0.0415%9 Apr
train10–13-0.063%6 Apr
inferno13–3-0.038%6 Apr
dust213–50.0115%29 Mar
ancient13–9-0.0111%26 Mar
vertigo6–13-0.0416%25 Mar
inferno12–12-0.0113%25 Mar
vertigo13–8-0.0326%24 Mar
vertigo13–90.0410%24 Mar
train4–12-0.064%24 Mar
dust29–13-0.0017%22 Mar
ancient10–13-0.017%22 Mar
anubis6–13-0.017%21 Mar
ancient8–13-0.026%21 Mar
nuke9–13-0.0510%21 Mar
nuke6–130.038%21 Mar
inferno11–13-0.060%15 Mar
ancient8–13-0.0410%15 Mar
ancient4–13-0.0610%13 Mar
ancient9–13-0.085%13 Mar
ancient13–5-0.0211%25 Jan
anubis4–13-0.0623%25 Jan
vertigo13–5-0.095%25 Jan
inferno4–13-0.0924%25 Jan
ancient13–7-0.0321%21 Jan
ancient7–13-0.114%11 Jan
inferno13–10-0.038%11 Jan
ancient10–130.0117%11 Jan
ancient13–11-0.043%1 Jan
anubis13–11-0.0218%1 Jan
vertigo13–40.019%1 Jan
vertigo8–13-0.0527%27 Nov
train7–13-0.0510%27 Nov
vertigo9–13-0.0511%19 Nov
vertigo11–130.036%19 Nov
train3–13-0.0420%16 Nov
train4–13-0.0717%16 Nov
train2–13-0.0615%16 Nov
vertigo4–13-0.0315%13 Nov
inferno13–16-0.0520%13 Nov
inferno16–12-0.059%13 Nov
inferno9–13-0.0413%6 Oct
inferno4–13-0.1218%6 Oct
overpass2–9-0.1714%2 Oct
nuke11–13-0.0310%29 Sept
vertigo6–13-0.116%28 Sept
mirage13–40.0015%28 Sept
vertigo13–6-0.095%28 Sept
nuke3–13-0.0918%28 Sept
inferno2–13-0.069%25 Sept
anubis15–15-0.0313%8 Sept
inferno2–13-0.105%8 Sept
inferno11–13-0.0116%20 Aug
ancient12–10.1220%20 Aug
inferno13–80.028%17 Aug
vertigo3–13-0.088%17 Aug
inferno5–13-0.100%17 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 →