Humper1321

Humper1321 — CS2 Stats

UM76561198805599613[U:1:845333885]Steam profile ↗

1,164Tracked matches48%Win rate2020Tracked since
828Hours in CS
CSDB Rating6.2 SolidAggressive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate42.0%44.0%44.7%2.8% short
Shot accuracy14.1%11.6%11.9%above
Kill/death ratio1.061.031.04meets
Match win rate39.6%45.1%45.2%5.6% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHumper1321FACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning54
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLWLTWWWLLL

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression6.9
Utility5.2
Positioning5.4
Opening Duels3.2
Clutch5.0

Strong CT-side openerLimited 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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms 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

Aim7.5
Positioning5.4
Utility5.2
Mechanics8.4
Opening Duels3.9
Win Impact4.4

Composite 6.2/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time689ms−4ms
first ⅓ avg 693ms → last ⅓ avg 689ms
Headshot accuracy23.6%+0.9%
first ⅓ avg 22.7% → last ⅓ avg 23.6%

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

0.13Best rating — inferno 13–0
130Biggest win — inferno
5Longest win streak
74In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 60% over 15mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2191243%0.01
nukeC1981142%-0.02
cacheA159660%0.01
ancientB158753%0.01
mirageD82625%0.02
overpassA74357%-0.00
dust2C73443%-0.01
anubis4040%-0.03
train330100%-0.04
italy110100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,427Lifetime kills
1.06K/D · Top 50% of Level 5 players
2,627Matches
39.6%Match win rate
42.0%Headshot %
14.1%Shot accuracy · Top 50% of Level 5 players
4,798MVPs
828Hours (in match)
1,279Bombs planted
480Bombs defused

Most-used weapons

Lifetime map wins

2,745inferno
2,695dust2
2,310nuke
1,423vertigo
688train
309lake
60safehouse
48ar_shoots

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

Faceit stats

Combat

61Matches
44%Win rate
1.11Avg K/D
85.8ADR
48%Headshot %

Clutches & streaks

45%1v1 clutch win
21%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1839%0.9914.8
Ancient1443%1.1418.1
Inferno1233%1.0216.3
Nuke838%1.1920.0
Vertigo683%1.4616.5
Anubis367%1.1714.7

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.

23.9%Headshot accuracy
34.8%Accuracy (enemy spotted)
36.0%Spray accuracy
87.7%Counter-strafing
9.3°Preaim
674msReaction time
24.2%T opening success
61.0%CT opening success
0.52Enemies flashed / flash
9.0%Flash assists
13.67HE damage / grenade
4.56Flashes / 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 24.2424% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0811%5 Aug
cache13–100.0333%10 Jul
inferno11–13-0.0128%10 Jul
ancient15–150.0414%26 Jun
overpass13–60.0725%26 Jun
cache13–7-0.0436%26 Jun
cache13–80.0323%26 Jun
mirage7–130.0423%26 Jun
mirage6–130.0429%19 Jun
nuke5–130.0314%19 Jun
mirage5–13-0.049%6 Jun
inferno13–8-0.0014%1 Jun
dust213–100.0530%26 May
inferno13–160.0718%26 May
ancient13–9-0.0316%15 May
inferno15–150.0620%15 May
nuke9–13-0.0325%15 May
dust212–120.0525%15 May
mirage4–130.0317%15 May
cache7–130.0755%8 May
cache10–13-0.0430%2 May
cache13–6-0.0120%2 May
cache13–90.0332%2 May
cache13–90.0629%2 May
cache13–40.0414%2 May
cache6–130.0546%2 May
cache5–13-0.0117%30 Apr
cache13–80.0023%30 Apr
cache13–100.0130%30 Apr
cache2–13-0.146%29 Apr
cache9–130.0420%29 Apr
nuke13–20.019%24 Apr
nuke4–13-0.0539%20 Apr
inferno13–100.0417%20 Apr
mirage13–110.0123%20 Apr
nuke3–13-0.0723%20 Apr
nuke8–13-0.0323%16 Apr
ancient7–13-0.0436%6 Apr
ancient13–80.0726%6 Apr
nuke5–13-0.0513%3 Apr
inferno13–100.0222%3 Apr
train13–10-0.0318%3 Apr
overpass3–13-0.0921%20 Mar
ancient16–140.0413%20 Mar
inferno13–90.0424%20 Mar
ancient13–70.0519%16 Mar
nuke11–13-0.0110%16 Mar
anubis6–130.0415%8 Mar
anubis6–13-0.0411%23 Feb
inferno13–11-0.0530%23 Feb
inferno10–130.0021%22 Feb
train13–3-0.0622%22 Feb
nuke13–11-0.0111%22 Feb
dust28–13-0.0537%22 Feb
overpass9–130.0020%17 Feb
ancient13–100.0627%16 Feb
inferno13–160.0221%16 Feb
inferno15–15-0.0511%16 Feb
overpass13–110.0318%16 Feb
overpass13–90.019%11 Feb
anubis4–13-0.0711%30 Jan
ancient1–13-0.088%30 Jan
overpass13–60.0222%29 Jan
nuke13–100.0010%27 Jan
ancient13–90.0022%27 Jan
inferno13–11-0.0413%27 Jan
ancient8–13-0.0121%26 Jan
nuke13–40.0726%26 Jan
ancient8–13-0.0019%18 Jan
nuke13–30.0329%18 Jan
dust23–13-0.0221%18 Jan
dust213–100.0210%18 Jan
inferno13–100.0014%18 Jan
mirage13–50.0719%18 Jan
inferno13–60.0524%16 Jan
mirage13–160.0526%30 Nov
nuke13–8-0.0114%30 Nov
inferno5–13-0.0717%29 Nov
inferno11–130.0123%6 Nov
inferno2–130.0113%31 Oct
dust22–13-0.0610%31 Oct
ancient9–130.0319%30 Oct
ancient13–60.0519%30 Oct
ancient11–1-0.0320%27 Oct
inferno8–130.0029%17 Oct
nuke7–13-0.0111%17 Oct
overpass14–16-0.0738%12 Sept
nuke13–7-0.0230%11 Sept
mirage7–130.0122%11 Sept
inferno8–13-0.0227%8 Sept
ancient6–13-0.0623%5 Sept
nuke9–130.0317%5 Sept
inferno7–13-0.0425%3 Sept
nuke13–3-0.0535%24 Jul
inferno13–00.1326%24 Jul
italy13–11-0.0131%23 Jul
train13–5-0.0120%23 Jul
dust213–3-0.0543%23 Jul
nuke7–13-0.0727%23 Jul
anubis7–13-0.0721%26 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 →