I'm Teensy, too! — CS2 Stats

76561198120364727[U:1:160098999]

714Tracked matches36%Win rate2020Tracked since
CSDB Rating4.3 DevelopingPassive Rifler
Premier CS Rating13,361Blue band · top ~37.1% of ranked players (population est.)
CSDB Leaderboard#13961 of 20509 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGI'm Teensy, too!FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,361 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning41
Utility58

0–100 skill scores via Leetify.

Recent form

COLD41554Last 10041%Win rateLLLWTLWLLT

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression1.4
Utility5.8
Positioning4.1
Opening Duels0.0

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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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. 614ms 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

Aim6.1
Positioning4.1
Utility5.8
Mechanics6.3
Opening Duels0.0
Win Impact0.2

Composite 4.3/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time610ms+1ms
first ⅓ avg 609ms → last ⅓ avg 610ms
Headshot accuracy13.3%−0.6%
first ⅓ avg 13.9% → 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.

Highlights

0.16Best rating — vertigo 9–3
100Biggest win — train
5Longest win streak
L3Current streak
45In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 67% over 6nukeWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
infernoA2112957%0.01
nukeD1851328%-0.00
mirageD1751229%0.01
ancientB105550%-0.01
overpassD93633%0.01
dust2D72529%-0.02
vertigoS64267%0.02
anubisC52340%0.02
cache31233%-0.02
train32167%0.03
alpine1010%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
0.42Avg K/D
ADR
14%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

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.

12.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
39.8%Spray accuracy
78.3%Counter-strafing
9.7°Preaim
614msReaction time
24.9%T opening success
28.3%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
10.03HE damage / grenade
9.21Flashes / 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 12.7723% — 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 24.9231% — 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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–130.0814%11 Aug
inferno11–13-0.0416%8 Aug
anubis13–160.0210%3 Aug
inferno13–11-0.029%31 Jul
vertigo12–12-0.048%30 Jul
ancient4–13-0.0717%30 Jul
inferno13–8-0.0512%28 Jul
nuke4–13-0.0514%28 Jul
overpass6–13-0.027%25 Jul
ancient12–120.029%25 Jul
anubis13–70.0413%25 Jul
mirage16–13-0.0313%25 Jul
anubis4–13-0.057%24 Jul
ancient6–13-0.059%24 Jul
inferno6–130.0117%24 Jul
vertigo7–13-0.028%23 Jul
mirage6–13-0.0215%23 Jul
overpass3–13-0.0210%23 Jul
inferno13–100.0821%23 Jul
dust213–50.0210%23 Jul
mirage2–13-0.0910%23 Jul
cache13–6-0.0111%22 Jul
nuke6–13-0.0111%22 Jul
mirage13–60.0523%21 Jul
mirage13–160.0418%20 Jul
overpass13–40.1614%20 Jul
inferno4–9-0.1124%20 Jul
dust25–13-0.0625%20 Jul
mirage4–130.119%20 Jul
nuke4–130.118%20 Jul
inferno6–90.0124%20 Jul
vertigo9–30.1618%20 Jul
nuke2–9-0.073%20 Jul
inferno13–40.0414%19 Jul
mirage3–10-0.0717%19 Jul
mirage0–11-0.0417%19 Jul
dust213–50.0716%18 Jul
ancient0–13-0.0515%17 Jul
train10–00.138%17 Jul
mirage13–50.1414%17 Jul
inferno9–130.027%17 Jul
dust27–13-0.0611%16 Jul
nuke12–120.0213%16 Jul
ancient13–110.0011%16 Jul
mirage7–13-0.0011%16 Jul
inferno13–9-0.0523%15 Jul
nuke13–60.022%15 Jul
dust26–13-0.0617%15 Jul
overpass7–130.0616%15 Jul
nuke13–30.0216%15 Jul
dust26–13-0.058%15 Jul
nuke7–13-0.038%14 Jul
nuke16–140.038%14 Jul
mirage5–13-0.094%14 Jul
nuke9–13-0.0118%14 Jul
train13–4-0.008%13 Jul
inferno13–40.0511%13 Jul
mirage11–130.0422%13 Jul
ancient10–13-0.0315%13 Jul
inferno16–140.0923%13 Jul
nuke5–9-0.078%13 Jul
anubis13–50.0111%13 Jul
inferno9–130.0010%12 Jul
nuke13–70.066%12 Jul
train5–13-0.0310%11 Jul
nuke11–13-0.038%10 Jul
ancient9–10.065%10 Jul
cache6–13-0.0321%10 Jul
ancient13–30.0020%10 Jul
inferno13–60.0915%10 Jul
cache10–13-0.0011%9 Jul
mirage3–13-0.0416%9 Jul
overpass5–13-0.029%3 Jul
ancient13–80.0523%3 Jul
inferno8–13-0.0210%30 Jun
inferno13–30.008%30 Jun
alpine12–120.049%22 Jan
vertigo13–6-0.009%13 Jan
overpass13–30.0111%5 Jan
vertigo13–9-0.0124%5 Jan
nuke13–10-0.0711%4 Jan
overpass16–13-0.009%3 Jan
mirage0–4-0.0350%3 Jan
vertigo13–60.057%3 Jan
inferno13–40.0414%26 Dec
overpass10–13-0.036%16 Dec
mirage8–10.1216%16 Dec
nuke12–110.0817%30 Nov
inferno9–13-0.0012%30 Nov
mirage13–80.059%24 Oct
dust210–13-0.019%24 Oct
mirage13–30.0416%24 Oct
inferno13–90.027%24 Oct
nuke10–130.0115%23 Oct
ancient13–4-0.0315%23 Oct
inferno11–13-0.027%14 Sept
overpass9–13-0.006%12 Sept
inferno13–100.0111%9 Sept
nuke10–13-0.0517%9 Sept
nuke3–13-0.0317%2 Sept

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 →