KOFF1E — CS2 Stats

76561198265752741[U:1:305487013]✓ No bans

1,851Tracked matches43%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
Premier CS Rating16,219Purple band · top ~23.5% of ranked players (population est.)
CSDB Leaderboard#14015 of 23491 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKOFF1EFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,219 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning50
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateWWLWLLLLWL

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

Player DNA

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

Aim6.7
Aggression3.1
Utility4.4
Positioning5.0
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 81% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 641ms 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

Aim6.7
Positioning5.0
Utility4.4
Mechanics6.1
Opening Duels0.5
Win Impact2.6

Composite 4.9/10 (Developing), 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-0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg -0.00
Reaction time632ms−23ms
first ⅓ avg 655ms → last ⅓ avg 632ms
Headshot accuracy23.9%+3.5%
first ⅓ avg 20.4% → last ⅓ avg 23.9%

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

0.18Best rating — nuke 10–13
131Biggest win — inferno
7Longest win streak
W2Current streak
410In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 60% over 5infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2213959%0.03
mirageB168850%0.02
nukeC156940%0.03
officeB105550%-0.01
cacheB84450%0.02
ancientA74357%0.01
infernoD72529%0.01
trainA53260%0.02
anubis31233%-0.01
vertigo21150%-0.02
italy21150%-0.02
shelter110100%-0.00
stronghold1010%-0.00
overpass1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

70Matches
56%Win rate
1.17Avg K/D
ADR
29%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

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.

24.7%Headshot accuracy
30.9%Accuracy (enemy spotted)
29.7%Spray accuracy
77.5%Counter-strafing
7.8°Preaim
641msReaction time
26.4%T opening success
33.7%CT opening success
0.47Enemies flashed / flash
3.3%Flash assists
11.58HE damage / grenade
5.37Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4741 — below the 0.5 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 26.3739% — 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 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–11-0.0718%25 Aug
office13–70.0232%25 Aug
nuke0–7-0.0713%25 Aug
train13–10-0.0444%22 Aug
anubis8–13-0.0612%22 Aug
office7–13-0.0326%22 Aug
office11–13-0.0132%21 Aug
nuke6–13-0.0017%20 Aug
train13–5-0.0225%19 Aug
nuke2–10-0.0414%16 Aug
nuke6–130.0133%16 Aug
office13–8-0.0522%16 Aug
vertigo9–4-0.0313%16 Aug
ancient8–13-0.0721%15 Aug
mirage12–12-0.0112%14 Aug
dust21–70.000%7 Aug
vertigo6–13-0.018%7 Aug
ancient5–130.0122%7 Aug
italy8–13-0.0325%7 Aug
dust213–9-0.0325%5 Aug
dust213–50.0840%30 Jul
dust28–30.0224%28 Jul
mirage13–6-0.0132%27 Jul
nuke12–120.0533%27 Jul
inferno13–10.0121%27 Jul
dust29–13-0.0220%26 Jul
inferno7–13-0.0032%25 Jul
dust29–130.0224%24 Jul
mirage13–80.0930%24 Jul
dust28–130.0230%22 Jul
cache13–90.0930%20 Jul
dust213–50.0324%19 Jul
nuke11–130.0235%18 Jul
ancient7–13-0.0115%16 Jul
cache5–13-0.0415%16 Jul
mirage11–130.0226%16 Jul
anubis14–16-0.0315%15 Jul
mirage13–5-0.0536%15 Jul
dust213–160.0620%14 Jul
dust213–100.0218%14 Jul
cache7–130.0125%14 Jul
mirage16–130.0220%13 Jul
cache13–3-0.0312%13 Jul
dust213–30.1035%13 Jul
cache6–13-0.0313%12 Jul
cache13–40.0425%12 Jul
mirage13–40.0820%12 Jul
mirage13–50.0519%12 Jul
nuke13–80.0720%12 Jul
office5–13-0.0126%11 Jul
office13–10-0.0132%11 Jul
dust29–13-0.0026%11 Jul
inferno6–13-0.1020%10 Jul
mirage6–130.0023%10 Jul
nuke13–6-0.0313%10 Jul
cache13–2-0.0227%9 Jul
dust213–80.0418%9 Jul
office13–60.0023%9 Jul
shelter13–4-0.0029%9 Jul
nuke13–110.0121%8 Jul
dust213–50.0614%8 Jul
office12–12-0.045%3 Jul
mirage6–13-0.0447%3 Jul
ancient13–60.0111%3 Jul
dust213–90.0633%3 Jul
train13–80.0326%1 Jul
italy13–11-0.0127%1 Jul
mirage13–30.0624%1 Jul
office12–120.0835%1 Jul
mirage13–80.0116%1 Jul
stronghold11–13-0.0020%30 Jun
train8–130.0110%30 Jun
overpass11–130.0219%28 Jun
dust29–13-0.0720%28 Jun
ancient13–70.0410%28 Jun
inferno10–130.0333%28 Jun
dust213–80.0711%27 Jun
dust28–130.0213%27 Jun
mirage14–16-0.0619%26 Jun
dust211–130.0129%26 Jun
inferno3–130.0217%26 Jun
nuke13–6-0.0115%24 Jun
dust213–40.0620%24 Jun
anubis13–50.0416%24 Jun
nuke13–70.1219%23 Jun
mirage11–130.1123%23 Jun
cache7–130.1332%23 Jun
nuke4–13-0.0339%23 Jun
train12–120.1210%22 Jun
ancient13–110.0521%22 Jun
dust213–9-0.0124%22 Jun
ancient16–130.0612%21 Jun
nuke11–130.0320%21 Jun
mirage15–150.1126%21 Jun
nuke10–130.1822%21 Jun
dust213–80.0322%21 Jun
inferno13–70.1215%21 Jun
inferno12–12-0.0227%19 Jun
nuke13–40.1115%19 Jun
mirage3–8-0.1218%19 Jun

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 →