Stevekl

Stevekl — CS2 Stats

US76561198146155010[U:1:185889282]Steam profile ↗

3,051Tracked matches53%Win rate2020Tracked since
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating26,776Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#1298 of 23476 tracked
FaceitLevel 10 · 2,218 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGSteveklFACEITLevel 10 · 2,218 ELOSTANDINGTop 12.4% of rankedPREMIER26,776 · Red bandcsdb.gg/stats

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Performance scores

Aim68
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateWLWWLLLLLW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

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

Aim6.8
Aggression5.5
Utility6.6
Positioning5.9
Opening Duels2.3
Clutch4.2

Strong CT-side openerEffective flashes

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 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim6.8
Positioning5.9
Utility6.6
Mechanics5.6
Opening Duels2.8
Win Impact6.1

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time611ms−3ms
first ⅓ avg 614ms → last ⅓ avg 611ms
Headshot accuracy16.3%−2.8%
first ⅓ avg 19.1% → last ⅓ avg 16.3%

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 — dust2 13–6
130Biggest win — ancient
7Longest win streak
96In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 100% over 6infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
mirageA2415963%0.01
dust2C1871139%0.03
infernoD1751229%0.02
nukeB137654%0.04
cacheA116555%0.03
ancientS96367%0.03
anubisS660100%-0.00
overpass21150%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,352Matches
51%Win rate
1.14Avg K/D
83.5ADR
46%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage29147%1.0817.1
Nuke15059%1.2317.6
Ancient13954%1.0916.3
Anubis11642%1.1316.6
Inferno10150%1.2016.7
Dust29037%0.9114.3
Train7061%1.2018.4
Cache3656%1.0916.5

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.

16.7%Headshot accuracy
38.2%Accuracy (enemy spotted)
38.8%Spray accuracy
75.3%Counter-strafing
10.7°Preaim
598msReaction time
26.1%T opening success
52.3%CT opening success
0.72Enemies flashed / flash
8.0%Flash assists
10.01HE damage / grenade
12.93Flashes / 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

    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 26.0952% — 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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0140%24 Aug
mirage9–13-0.0214%24 Aug
ancient13–100.0213%23 Aug
ancient13–20.0512%19 Aug
dust26–130.0415%19 Aug
dust27–13-0.0217%19 Aug
mirage1–13-0.1020%15 Aug
dust24–13-0.058%15 Aug
nuke7–13-0.0011%15 Aug
mirage13–2-0.0115%15 Aug
inferno13–50.0321%15 Aug
anubis13–110.0119%15 Aug
ancient10–13-0.0120%14 Aug
mirage13–90.0417%13 Aug
inferno5–130.0516%13 Aug
inferno13–80.0620%13 Aug
nuke13–110.0525%31 Jul
dust211–130.049%31 Jul
cache10–13-0.018%28 Jul
mirage13–9-0.0116%27 Jul
dust29–130.0122%22 Jul
cache13–50.0720%22 Jul
mirage13–110.0310%22 Jul
ancient5–130.028%22 Jul
cache13–50.049%22 Jul
dust213–11-0.0113%22 Jul
mirage13–50.0215%22 Jul
nuke4–130.0632%16 Jul
dust211–130.0717%16 Jul
cache13–80.0115%16 Jul
mirage13–60.0514%15 Jul
cache6–130.0611%13 Jul
mirage4–90.0216%12 Jul
ancient13–00.0920%12 Jul
inferno13–10-0.0416%12 Jul
ancient13–50.0325%12 Jul
nuke5–130.0123%11 Jul
cache13–100.0432%11 Jul
inferno9–130.0112%11 Jul
nuke10–130.0322%11 Jul
inferno6–130.0116%11 Jul
anubis13–10-0.068%10 Jul
mirage10–130.0015%10 Jul
mirage5–13-0.0119%10 Jul
dust213–90.0418%10 Jul
nuke6–13-0.0511%10 Jul
dust26–130.0210%9 Jul
cache2–13-0.0435%9 Jul
nuke13–90.0421%9 Jul
dust213–110.1019%9 Jul
inferno1–9-0.250%9 Jul
inferno3–9-0.0221%9 Jul
mirage13–9-0.0211%9 Jul
cache13–10.0714%9 Jul
cache3–130.0321%9 Jul
mirage13–30.0215%9 Jul
cache13–00.024%8 Jul
cache3–130.0315%7 Jul
dust213–100.0527%7 Jul
mirage10–130.0416%6 Jul
nuke9–40.1328%6 Jul
dust27–130.0728%6 Jul
mirage15–15-0.0324%6 Jul
anubis13–110.047%5 Jul
inferno10–130.0313%5 Jul
mirage13–60.0723%2 Jul
overpass13–90.0518%2 Jul
inferno15–150.1326%1 Jul
mirage13–80.0722%1 Jul
mirage13–9-0.0015%30 Jun
dust213–90.0513%30 Jun
inferno11–13-0.0121%30 Jun
inferno7–130.0415%28 Jun
ancient13–30.0613%28 Jun
mirage13–7-0.0719%28 Jun
dust29–13-0.0326%27 Jun
overpass11–130.0211%27 Jun
ancient4–130.0116%26 Jun
dust25–130.0926%26 Jun
mirage13–100.0622%26 Jun
inferno13–50.0518%26 Jun
mirage14–160.0515%26 Jun
mirage6–13-0.0928%26 Jun
inferno15–150.0417%26 Jun
dust213–110.0119%26 Jun
anubis13–11-0.0413%25 Jun
inferno13–100.078%25 Jun
mirage13–60.0720%25 Jun
nuke13–90.0620%25 Jun
dust213–60.1620%25 Jun
anubis13–70.0321%24 Jun
inferno13–160.0921%24 Jun
anubis13–30.0115%24 Jun
ancient13–100.0317%24 Jun
nuke13–60.1026%24 Jun
inferno11–13-0.0424%23 Jun
nuke13–60.0722%23 Jun
mirage13–50.0119%23 Jun
nuke12–160.0126%23 Jun
dust27–13-0.0221%23 Jun

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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