πŸ¦•β›Ÿβ™‘Loboβ›₯βΈΈ

πŸ¦•β›Ÿβ™‘Loboβ›₯βΈΈ β€” CS2 Stats

IM76561198300113185[U:1:339847457]Steam profile β†—

2,567Tracked matches52%Win rate2020Tracked since
2,902Hours in CS
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating24,390Top 50% of 819 CSDB-tracked playersPink band Β· top ~3.7% of ranked players (population est.)
CSDB Leaderboard#1693 of 8285 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band median
Headshot rate43.3%48.1%
Shot accuracy14.5%12.9%
Kill/death ratio0.901.08
Match win rate48.7%46.5%

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CSDB.GGπŸ¦•β›Ÿβ™‘Loboβ›₯βΈΈPREMIER24,390 Β· Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning48
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWWWLLLWLL

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

Player DNA

Primary style: Hybrid Rifler β€” Aim-led profile without a single dominant tendency.

Aim8.4
Aggression6.1
Utility1.9
Positioning4.8
Opening Duels2.3
Clutch3.2

Limited utility dependence

Style profile from tracked-match aggregates β€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 36 points β€” deaths here waste a strong aim profile.

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

Reaction time. 573ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.4
Positioning4.8
Utility1.9
Mechanics6.9
Opening Duels2.3
Win Impact5.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00βˆ’0.00
first β…“ avg -0.00 β†’ last β…“ avg -0.00
Reaction time584msβˆ’3ms
first β…“ avg 587ms β†’ last β…“ avg 584ms
Headshot accuracy22.4%+3.3%
first β…“ avg 19.1% β†’ last β…“ avg 22.4%

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 β€” inferno 9–3
13–1Biggest win β€” mirage
3Longest win streak
4–5In matches decided by ≀2 rounds
6Overtime games

Map breakdown

cacheBest map Β· 70% over 10ancientWeakest map Β· 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC145–936%-0.01
dust2C145–936%-0.04
infernoB136–746%0.03
anubisB126–650%-0.00
mirageB115–645%0.01
cacheS107–370%0.01
ancientD81–713%-0.03
officeS64–267%0.06
vertigoS64–267%0.00
shelterβ€”31–233%0.02
trainβ€”22–0100%0.01
overpassβ€”10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,769Lifetime kills
0.90K/D
6,436Matches
48.7%Match win rate Β· Top 50% of Pink band
43.3%Headshot %
14.5%Shot accuracy Β· Top 50% of Pink band
18,446MVPs
2,902Hours (in match)
9,560Bombs planted
1,609Bombs defused

Most-used weapons

AK-4735,001
AWP22,982
SSG 082,179
MP92,021
Knife1,828
MAC-101,651

Lifetime map wins

9,539inferno
7,597office
6,442dust2
4,083vertigo
3,456train
2,642nuke
1,626cbble
328lake

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

Faceit stats

Combat

1,761Matches
50%Win rate
0.86Avg K/D
69.9ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno13053%0.8013.2
Mirage12951%0.8413.5
Vertigo11852%0.8413.5
Dust27257%0.8613.5
Anubis5954%0.8213.8
Overpass3554%0.7614.4
Nuke2045%0.8313.1
Ancient1828%0.7711.8

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.3%Headshot accuracy
37.6%Accuracy (enemy spotted)
40.3%Spray accuracy
81.3%Counter-strafing
8.7Β°Preaim
573msReaction time
33.7%T opening success
44.7%CT opening success
0.21Enemies flashed / flash
2.0%Flash assists
11.32HE damage / grenade
1.31Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 0.208 β€” below the 0.5 mark we flag

    Grenade Lineups β†’
  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 33.6812% β€” below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 8 tracked games β€” your weakest map with enough games to be worth reading into.

Ancient callouts & strategy β†’Ancient grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0216%27 Aug β†’
dust213–10-0.0511%24 Aug β†’
mirage13–90.0624%24 Aug β†’
ancient13–4-0.0317%24 Aug β†’
inferno7–13-0.0641%21 Aug β†’
dust26–13-0.0722%19 Aug β†’
ancient5–13-0.0915%17 Aug β†’
train13–2-0.0820%12 Aug β†’
office9–130.0828%12 Aug β†’
ancient6–13-0.0426%12 Aug β†’
anubis15–150.0128%12 Aug β†’
dust213–60.0735%11 Aug β†’
dust213–2-0.0619%11 Aug β†’
dust21–13-0.108%11 Aug β†’
dust28–130.0113%11 Aug β†’
anubis11–13-0.0228%10 Aug β†’
vertigo13–9-0.0121%9 Aug β†’
dust28–13-0.0216%9 Aug β†’
cache13–90.0311%9 Aug β†’
vertigo6–13-0.0513%9 Aug β†’
office13–80.0730%9 Aug β†’
nuke13–100.0216%8 Aug β†’
nuke3–130.0123%8 Aug β†’
vertigo13–60.0236%8 Aug β†’
shelter9–130.0528%8 Aug β†’
inferno13–20.1329%8 Aug β†’
office13–70.0218%8 Aug β†’
overpass4–13-0.0930%7 Aug β†’
vertigo13–50.0212%7 Aug β†’
office13–50.0933%7 Aug β†’
mirage10–13-0.0323%6 Aug β†’
anubis13–70.0224%6 Aug β†’
nuke7–130.0126%4 Aug β†’
mirage13–110.0620%3 Aug β†’
anubis13–90.0512%3 Aug β†’
mirage1–13-0.0321%3 Aug β†’
dust24–13-0.1016%2 Aug β†’
mirage9–130.0216%2 Aug β†’
inferno13–60.1320%2 Aug β†’
nuke9–130.0214%2 Aug β†’
anubis13–80.0617%2 Aug β†’
cache13–7-0.0121%2 Aug β†’
inferno11–130.0219%2 Aug β†’
cache5–20.1435%2 Aug β†’
office5–13-0.0614%2 Aug β†’
vertigo13–30.0430%31 Jul β†’
nuke10–13-0.0324%31 Jul β†’
mirage10–1-0.0020%31 Jul β†’
cache9–13-0.0112%31 Jul β†’
anubis11–13-0.0116%30 Jul β†’
inferno13–9-0.0713%30 Jul β†’
cache13–50.0721%30 Jul β†’
nuke11–13-0.0321%30 Jul β†’
cache16–13-0.0615%29 Jul β†’
inferno13–110.0718%29 Jul β†’
nuke7–13-0.0913%26 Jul β†’
inferno9–13-0.0220%26 Jul β†’
mirage6–13-0.0518%26 Jul β†’
inferno0–13-0.0333%26 Jul β†’
nuke13–9-0.0315%26 Jul β†’
anubis13–30.0616%25 Jul β†’
dust25–13-0.0915%25 Jul β†’
mirage10–130.0728%25 Jul β†’
shelter3–13-0.0333%25 Jul β†’
office13–80.1631%25 Jul β†’
anubis4–13-0.087%25 Jul β†’
ancient6–13-0.0717%24 Jul β†’
ancient15–150.0210%24 Jul β†’
mirage13–1-0.048%24 Jul β†’
dust25–13-0.070%24 Jul β†’
nuke13–11-0.0221%23 Jul β†’
cache11–13-0.0421%23 Jul β†’
cache2–13-0.0523%22 Jul β†’
dust213–8-0.0211%22 Jul β†’
inferno13–10-0.0418%22 Jul β†’
cache16–14-0.0217%22 Jul β†’
vertigo4–13-0.0232%22 Jul β†’
shelter13–50.0631%22 Jul β†’
anubis13–4-0.0123%22 Jul β†’
dust28–13-0.0311%22 Jul β†’
anubis0–13-0.040%22 Jul β†’
ancient4–130.0231%21 Jul β†’
inferno9–30.1618%21 Jul β†’
mirage13–60.0427%21 Jul β†’
anubis8–13-0.0613%21 Jul β†’
dust210–13-0.0622%21 Jul β†’
inferno15–150.0126%21 Jul β†’
nuke13–90.0113%21 Jul β†’
cache13–90.0326%21 Jul β†’
dust213–8-0.0010%20 Jul β†’
inferno8–130.0313%20 Jul β†’
mirage5–130.0120%20 Jul β†’
anubis13–7-0.0323%19 Jul β†’
nuke13–70.0532%19 Jul β†’
ancient9–13-0.0538%19 Jul β†’
nuke7–13-0.0223%19 Jul β†’
inferno5–130.0118%18 Jul β†’
nuke15–15-0.0113%18 Jul β†’
train13–50.0920%18 Jul β†’
ancient8–13-0.0119%18 Jul β†’

Match data via Leetify.

Recent teammates

Milestones

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