Define the Great Line (2006)

Define the Great Line (2006) — CS2 Stats

US76561198230795864[U:1:270530136]Steam profile ↗

1,802Tracked matches61%Win rate2023Tracked since
1,483Hours in CS20Hrs last 2 wks
CSDB Rating6.3 SolidHybrid Rifler
Premier CS Rating16,567Purple band · top ~22.2% of ranked players (population est.)
CSDB Leaderboard#8117 of 13473 tracked
FaceitLevel 3 · 726 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGDefine the Great Line (20…FACEITLevel 3 · 726 ELOSTANDINGTop 90.6% of rankedPREMIER16,567 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning58
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateWWLWWWWLLL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim8.2
Aggression6.1
Utility2.8
Positioning5.8
Opening Duels2.0
Clutch6.0

Limited utility dependence

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 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 597ms 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

Aim8.2
Positioning5.8
Utility2.8
Mechanics8.0
Opening Duels2.0
Win Impact8.6

Composite 6.3/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time594ms−45ms
first ⅓ avg 639ms → last ⅓ avg 594ms
Headshot accuracy18.1%+3.1%
first ⅓ avg 15.0% → last ⅓ avg 18.1%

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

0.15Best rating — anubis 13–4
132Biggest win — cache
7Longest win streak
W2Current streak
118In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 60% over 10ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeA22121055%-0.00
mirageB179853%0.02
dust2C167944%0.00
ancientC135838%-0.01
cacheB115645%-0.01
anubisA106460%0.03
infernoC52340%0.04
vertigo42250%-0.00
train220100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,864Lifetime kills
0.94K/D
2,364Matches
43.8%Match win rate
35.3%Headshot %
0.2%Shot accuracy
4,635MVPs
830Hours (in match)
2,082Bombs planted
508Bombs defused

Most-used weapons

Lifetime map wins

6,513dust2
3,604nuke
1,738inferno
1,339vertigo
588train
263office
6ar_shoots
6ar_baggage

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

Faceit stats

Combat

63Matches
44%Win rate
0.99Avg K/D
72.8ADR
35%Headshot %

Clutches & streaks

50%1v1 clutch win
13%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1735%0.9511.8
Dust21145%0.9713.4
Ancient1050%0.9313.8
Anubis956%1.2715.6
Inferno633%0.8512.7
Nuke540%0.9214.2
Cache250%0.7612.0
Overpass1100%1.3818.0

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.

17.5%Headshot accuracy
38.3%Accuracy (enemy spotted)
42.6%Spray accuracy
86.0%Counter-strafing
9.2°Preaim
597msReaction time
44.3%T opening success
31.9%CT opening success
0.57Enemies flashed / flash
2.0%Flash assists
2.98HE damage / grenade
3.85Flashes / 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 3.8548 — below the 4 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.933% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0515%28 Aug
dust213–9-0.0119%28 Aug
mirage10–130.0214%28 Aug
anubis13–40.1511%28 Aug
mirage9–4-0.0515%28 Aug
cache13–2-0.059%28 Aug
train13–50.0329%28 Aug
ancient11–13-0.0121%28 Aug
ancient10–13-0.0418%27 Aug
dust211–13-0.027%27 Aug
ancient16–140.028%27 Aug
nuke10–13-0.0313%27 Aug
mirage13–40.1021%27 Aug
dust213–20.0619%27 Aug
dust26–13-0.0919%26 Aug
mirage13–40.0510%26 Aug
nuke4–13-0.079%26 Aug
dust27–3-0.0133%26 Aug
nuke15–150.0218%25 Aug
anubis13–80.0619%25 Aug
ancient16–130.069%25 Aug
cache5–13-0.0715%25 Aug
dust213–30.0612%25 Aug
nuke13–8-0.0321%25 Aug
ancient9–130.0620%25 Aug
dust210–13-0.0416%25 Aug
nuke12–120.0427%21 Aug
dust213–70.0922%20 Aug
dust213–8-0.0130%18 Aug
inferno7–130.0535%18 Aug
train13–90.0224%17 Aug
nuke13–60.0124%17 Aug
mirage13–110.1017%17 Aug
nuke15–15-0.0715%13 Aug
anubis13–90.0616%13 Aug
mirage6–13-0.0126%13 Aug
dust213–80.0326%13 Aug
inferno8–13-0.0111%13 Aug
mirage5–130.006%12 Aug
ancient13–11-0.0210%12 Aug
dust23–13-0.0516%12 Aug
mirage15–150.0322%12 Aug
cache8–13-0.0219%12 Aug
nuke13–110.0918%12 Aug
mirage4–13-0.0919%11 Aug
dust215–15-0.0421%11 Aug
cache13–100.0215%11 Aug
nuke16–14-0.066%11 Aug
nuke13–20.0513%10 Aug
cache5–130.0314%10 Aug
cache6–13-0.057%10 Aug
mirage13–80.0528%10 Aug
dust28–80.1018%10 Aug
inferno11–130.0216%10 Aug
inferno13–80.0624%10 Aug
inferno13–70.1011%10 Aug
anubis15–150.0213%10 Aug
nuke10–13-0.0220%10 Aug
ancient9–13-0.112%10 Aug
anubis13–110.0615%9 Aug
ancient11–13-0.0615%9 Aug
cache13–40.0119%9 Aug
mirage11–13-0.0318%9 Aug
anubis14–160.0426%8 Aug
nuke1–130.0023%8 Aug
vertigo4–130.0136%8 Aug
ancient8–13-0.023%8 Aug
cache13–10-0.057%7 Aug
vertigo13–11-0.0219%7 Aug
nuke13–9-0.0622%6 Aug
vertigo7–130.0625%6 Aug
vertigo13–9-0.0616%6 Aug
anubis2–7-0.1210%6 Aug
nuke13–60.0223%6 Aug
mirage10–130.0016%6 Aug
mirage8–130.0318%6 Aug
nuke13–7-0.0226%6 Aug
nuke5–130.0016%6 Aug
mirage13–10-0.0313%5 Aug
dust211–130.033%5 Aug
ancient6–3-0.015%5 Aug
anubis16–130.0010%5 Aug
mirage12–30.0119%5 Aug
nuke13–110.0518%4 Aug
nuke13–11-0.0011%4 Aug
anubis13–90.0414%4 Aug
nuke13–110.0321%3 Aug
dust21–13-0.048%3 Aug
nuke3–130.0317%3 Aug
nuke9–13-0.0116%3 Aug
ancient3–13-0.0611%1 Aug
dust24–13-0.019%1 Aug
cache10–130.0319%1 Aug
ancient8–13-0.0518%1 Aug
cache13–80.0816%1 Aug
mirage13–110.0214%1 Aug
anubis5–130.0216%1 Aug
cache9–130.0012%1 Aug
nuke13–70.029%1 Aug
ancient13–80.1018%1 Aug

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 →