le teton

le teton — CS2 Stats

FJ76561199090453963[U:1:1130188235]Steam profile ↗✓ No bans

1,476Tracked matches47%Win rate2021Tracked since
CSDB Rating2.5 LearningClutch Specialist
Premier CS Rating9,240Light Blue band · top ~58.5% of ranked players (population est.)
CSDB Leaderboard#24551 of 33293 tracked
WingmanSilver I
Ladder ranks via Leetify

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CSDB.GGle tetonPREMIER9,240 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim18
Positioning25
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY40582Last 10040%Win rateLWLLLWWWLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim1.8
Aggression1.0
Utility6.0
Positioning2.5
Opening Duels0.0
Clutch10.0

Reliable 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 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 753ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim1.8
Positioning2.5
Utility6.0
Mechanics2.7
Opening Duels0.0
Win Impact3.9

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time751ms−5ms
first ⅓ avg 756ms → last ⅓ avg 751ms
Headshot accuracy14.8%−1.3%
first ⅓ avg 16.1% → last ⅓ avg 14.8%

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

0.05Best rating — overpass 13–2
132Biggest win — overpass
3Longest win streak
59In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 67% over 6nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB25121348%-0.05
mirageA1911858%-0.04
dust2D1651131%-0.05
nukeD102820%-0.06
ancientD93633%-0.05
overpassD92722%-0.05
anubisS64267%-0.04
cache2020%-0.08
sanctum110100%-0.11
vertigo1010%-0.22
poseidon1010%0.00
grail1010%-0.13

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
36%Win rate
0.55Avg K/D
54.5ADR
44%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2540%0.437.6
Inferno425%0.788.3
Nuke10%0.306.0
Mirage1100%0.447.0

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.

14.3%Headshot accuracy
28.3%Accuracy (enemy spotted)
30.4%Spray accuracy
62.0%Counter-strafing
11.5°Preaim
753msReaction time
16.2%T opening success
25.7%CT opening success
0.63Enemies flashed / flash
3.9%Flash assists
14.06HE damage / grenade
12.11Flashes / 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 14.2962% — 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 752.7746ms — above the 700ms mark we flag

    Aim Training
  3. 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 16.1518% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.085%5 Jul
inferno13–9-0.0629%5 Jul
mirage7–13-0.0426%5 Jul
dust24–13-0.0413%5 Jul
inferno13–16-0.048%1 Jul
dust213–9-0.0617%1 Jul
mirage13–50.0216%1 Jul
dust213–80.0115%30 Jun
inferno9–13-0.0915%30 Jun
dust211–13-0.0918%27 Jun
ancient8–13-0.0318%27 Jun
inferno3–13-0.0610%27 Jun
mirage10–13-0.0718%27 Jun
inferno9–6-0.0620%27 Jun
sanctum9–6-0.1132%27 Jun
nuke1–13-0.0713%22 Jun
inferno9–13-0.088%20 Jun
mirage13–110.0415%20 Jun
dust28–13-0.089%20 Jun
mirage13–6-0.0610%20 Jun
inferno10–13-0.0824%20 Jun
mirage11–50.0114%16 Jun
overpass13–20.0524%16 Jun
inferno0–13-0.030%16 Jun
ancient13–40.0218%13 Jun
mirage13–9-0.077%13 Jun
inferno5–13-0.0612%13 Jun
overpass16–13-0.026%13 Jun
inferno13–5-0.0513%13 Jun
overpass2–13-0.073%30 May
anubis13–5-0.0027%30 May
mirage13–10-0.0515%30 May
dust26–70.0312%30 May
dust25–13-0.1026%15 May
inferno13–8-0.0418%15 May
nuke5–13-0.039%15 May
cache9–13-0.100%2 May
inferno13–9-0.0619%2 May
mirage16–12-0.0814%2 May
inferno3–13-0.1011%2 May
nuke13–10-0.0512%2 May
mirage13–8-0.0211%2 May
dust213–8-0.0222%2 May
dust27–13-0.0718%30 Apr
overpass6–13-0.076%30 Apr
mirage7–130.0415%30 Apr
inferno14–16-0.067%30 Apr
cache6–13-0.0517%30 Apr
overpass11–13-0.089%27 Apr
anubis13–9-0.049%27 Apr
ancient14–16-0.0713%27 Apr
mirage13–10-0.0320%27 Apr
nuke10–13-0.0014%24 Apr
dust213–9-0.0314%24 Apr
overpass10–13-0.0419%24 Apr
mirage11–13-0.0420%24 Apr
ancient16–12-0.0424%11 Apr
inferno13–10-0.078%11 Apr
mirage15–15-0.0815%11 Apr
overpass11–13-0.0412%11 Apr
inferno10–13-0.0432%11 Apr
ancient8–13-0.069%21 Mar
anubis13–8-0.049%21 Mar
inferno13–11-0.0212%21 Mar
dust22–13-0.0815%21 Mar
mirage13–90.0011%21 Mar
ancient13–11-0.148%18 Mar
anubis13–8-0.0120%25 Feb
nuke6–13-0.016%22 Feb
dust22–13-0.0418%22 Feb
nuke16–14-0.0411%20 Feb
dust213–9-0.0019%20 Feb
ancient10–13-0.0411%20 Feb
inferno13–9-0.0222%20 Feb
mirage2–13-0.1110%20 Feb
inferno11–13-0.0622%20 Feb
inferno9–50.0119%20 Feb
dust25–13-0.0521%20 Feb
ancient5–13-0.0422%20 Feb
nuke10–13-0.0710%20 Feb
mirage13–8-0.067%14 Feb
ancient10–13-0.095%14 Feb
nuke7–13-0.0810%14 Feb
dust25–13-0.0915%14 Feb
anubis9–13-0.098%14 Feb
inferno13–7-0.0323%14 Feb
nuke5–9-0.1214%8 Feb
overpass5–9-0.1513%8 Feb
vertigo0–9-0.2267%8 Feb
inferno3–9-0.0724%8 Feb
poseidon5–90.007%8 Feb
nuke3–9-0.086%8 Feb
dust215–15-0.0217%7 Feb
inferno13–10-0.0410%7 Feb
mirage9–13-0.0413%7 Feb
mirage11–13-0.0824%1 Nov
inferno13–110.0113%1 Nov
inferno9–13-0.0521%6 Jul
overpass6–13-0.0023%6 Jul
grail3–13-0.130%6 Jul

Match data via Leetify.

Recent teammates

Milestones

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