LatrellNTC

LatrellNTC — CS2 Stats

BR76561198200359853[U:1:240094125]Steam profile ↗✓ No bans

2,813Tracked matches32%Win rate2020Tracked since
8,759Hours in CS17Hrs last 2 wks
CSDB Rating3.1 LearningClutch Specialist
Premier CS Rating13,847Blue band · top ~34.5% of ranked players (population est.)
CSDB Leaderboard#19715 of 29981 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate38.1%41.7%44.1%6.0% short
Shot accuracy15.3%8.8%11.4%above
Kill/death ratio1.020.971.03meets
Match win rate42.4%43.8%45.2%2.7% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGLatrellNTCPREMIER13,847 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning40
Utility46

0–100 skill scores via Leetify.

Recent form

COLD43534Last 10043%Win rateTWLLLLTWLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

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

Aim4.0
Aggression4.2
Utility4.6
Positioning4.0
Opening Duels0.0
Clutch10.0

Limited utility dependenceReliable 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 77% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 673ms 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

Aim4.0
Positioning4.0
Utility4.6
Mechanics3.7
Opening Duels0.3
Win Impact0.0

Composite 3.1/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time662ms−55ms
first ⅓ avg 717ms → last ⅓ avg 662ms
Headshot accuracy16.0%−0.9%
first ⅓ avg 16.9% → last ⅓ avg 16.0%

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

0.10Best rating — inferno 13–5
131Biggest win — dust2
5Longest win streak
88In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 75% over 8infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2D29101934%-0.03
mirageB29131645%-0.02
infernoD1551033%-0.03
ancientS86275%-0.03
cacheC73443%-0.02
anubisA74357%-0.03
nuke42250%-0.06
overpass1010%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

178,489Lifetime kills
1.02K/D · Top 50% of Blue band
8,531Matches
42.4%Match win rate
38.1%Headshot %
15.3%Shot accuracy · Top 25% of Blue band
18,905MVPs
3,721Hours (in match)
8,962Bombs planted
2,473Bombs defused

Most-used weapons

AK-4751,667
AWP22,965
MP97,193
P2506,753
MAC-105,747
FAMAS5,525

Lifetime map wins

27,526dust2
16,756inferno
8,106train
3,936vertigo
3,284nuke
218cbble
156lake
109safehouse

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

Faceit stats

Combat

7Matches
29%Win rate
0.89Avg K/D
72.5ADR
32%Headshot %

Clutches & streaks

75%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.8512.5
Ancient20%0.7213.5
Vertigo1100%1.0716.0
Dust21100%1.1714.0
Nuke10%0.8214.0

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.

16.1%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.0%Spray accuracy
66.7%Counter-strafing
10.1°Preaim
673msReaction time
26.0%T opening success
32.2%CT opening success
0.69Enemies flashed / flash
3.3%Flash assists
12.45HE damage / grenade
3.79Flashes / 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 3.7868 — 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 25.9842% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0211%28 Aug
dust213–90.068%28 Aug
dust212–16-0.0713%28 Aug
inferno7–13-0.0124%23 Aug
inferno5–13-0.1114%23 Aug
dust23–13-0.147%23 Aug
mirage15–15-0.0410%23 Aug
ancient13–100.0727%23 Aug
mirage11–130.0421%23 Aug
cache11–13-0.0313%23 Aug
ancient13–7-0.0629%22 Aug
dust213–10-0.0113%16 Aug
mirage11–130.0413%16 Aug
mirage7–13-0.097%16 Aug
dust27–13-0.049%16 Aug
anubis8–13-0.0316%16 Aug
inferno5–8-0.038%16 Aug
dust213–8-0.0419%16 Aug
cache13–8-0.0614%16 Aug
dust26–13-0.0311%16 Aug
cache13–50.0522%16 Aug
mirage4–1-0.0420%16 Aug
mirage13–16-0.0323%16 Aug
nuke11–13-0.0517%15 Aug
dust216–14-0.0223%15 Aug
mirage2–13-0.0123%15 Aug
inferno7–13-0.0313%8 Aug
dust29–13-0.0821%8 Aug
mirage10–13-0.077%8 Aug
mirage13–160.0125%8 Aug
mirage15–15-0.0127%2 Aug
anubis3–13-0.0410%2 Aug
mirage8–13-0.0511%2 Aug
inferno5–13-0.1022%2 Aug
nuke13–9-0.0315%1 Aug
mirage3–13-0.0117%1 Aug
inferno4–13-0.0717%1 Aug
dust211–13-0.0411%26 Jul
ancient13–9-0.0722%26 Jul
dust27–13-0.0219%26 Jul
dust213–5-0.0125%26 Jul
dust29–13-0.0219%26 Jul
mirage13–7-0.0419%26 Jul
inferno10–13-0.0619%26 Jul
dust28–13-0.0718%25 Jul
dust29–13-0.0411%25 Jul
mirage13–40.0115%25 Jul
mirage13–20.0928%25 Jul
dust212–160.0612%25 Jul
ancient13–10-0.0213%24 Jul
dust216–14-0.0429%24 Jul
ancient7–13-0.1027%19 Jul
inferno13–50.1022%19 Jul
anubis13–8-0.0213%19 Jul
cache13–4-0.0316%19 Jul
dust25–13-0.0431%19 Jul
mirage13–11-0.0719%19 Jul
inferno15–15-0.092%19 Jul
ancient11–13-0.0410%18 Jul
dust25–13-0.0419%18 Jul
mirage16–13-0.0913%18 Jul
nuke13–11-0.0224%18 Jul
mirage13–11-0.0129%18 Jul
dust23–13-0.1023%17 Jul
inferno13–80.0429%12 Jul
dust213–10.1013%12 Jul
dust211–13-0.0317%12 Jul
mirage13–9-0.0110%12 Jul
anubis16–13-0.0124%12 Jul
nuke3–13-0.1218%12 Jul
anubis11–13-0.0513%12 Jul
mirage2–13-0.068%12 Jul
inferno13–5-0.0610%12 Jul
mirage5–13-0.0817%12 Jul
mirage16–14-0.0412%11 Jul
dust213–6-0.0519%11 Jul
mirage13–10-0.0117%11 Jul
inferno3–13-0.0925%11 Jul
dust27–13-0.0912%11 Jul
dust213–8-0.0113%11 Jul
cache8–130.0033%11 Jul
cache3–12-0.044%11 Jul
mirage3–13-0.0313%11 Jul
cache8–13-0.0523%11 Jul
inferno13–60.0118%11 Jul
ancient13–8-0.0514%11 Jul
dust213–2-0.0414%11 Jul
inferno4–13-0.0214%11 Jul
mirage13–9-0.0014%11 Jul
anubis13–20.0112%11 Jul
mirage6–13-0.0217%4 Jul
dust26–13-0.0231%4 Jul
mirage9–130.0422%3 Jul
ancient16–140.0118%3 Jul
anubis13–6-0.0724%3 Jul
mirage13–70.0312%3 Jul
mirage16–12-0.0114%28 Jun
inferno16–140.0123%28 Jun
dust24–13-0.0319%28 Jun
overpass12–160.0020%28 Jun

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →