hovnd — CS2 Stats

76561198958943593[U:1:998677865]

2,903Tracked matches63%Win rate2020Tracked since
3,677Hours in CS
CSDB Rating6.6 SolidPassive Rifler
FaceitLevel 10 · 2,172 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate42.8%52.8%
Shot accuracy13.6%13.7%
Kill/death ratio0.981.08
Match win rate46.2%49.2%

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CSDB.GGhovndFACEITLevel 10 · 2,172 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim89
Positioning37
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54424Last 10054%Win rateWWLLWWLWTW

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.

Aim8.9
Aggression1.8
Utility5.5
Positioning3.7
Opening Duels0.0
Clutch4.6

Sharp aimerExcellent counter-strafingStrong CT-side opener

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 83% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 52 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 36% on CT to 10% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim8.9
Positioning3.7
Utility5.5
Mechanics8.8
Opening Duels0.8
Win Impact9.3

Composite 6.6/10 (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 rating0.03+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time559ms+6ms
first ⅓ avg 553ms → last ⅓ avg 559ms
Headshot accuracy18.8%−0.6%
first ⅓ avg 19.4% → last ⅓ avg 18.8%

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 — office 13–4
100Biggest win — cache
9Longest win streak
W2Current streak
36In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 100% over 10infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
officeA26151158%0.02
mirageC146843%-0.02
nukeB126650%0.01
cacheB115645%0.04
ancientC104640%0.00
dust2S10100100%0.05
infernoD62433%0.01
overpass41325%-0.01
alpine32167%-0.04
agency220100%-0.01
fachwerk1010%-0.08
train110100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,384Lifetime kills
0.98K/D
5,339Matches
46.2%Match win rate
42.8%Headshot %
13.6%Shot accuracy
10,798MVPs
3,677Hours (in match)
6,433Bombs planted
1,581Bombs defused

Most-used weapons

AK-4738,919
AWP6,082
MP92,134
Knife1,969
AUG1,832

Lifetime map wins

8,295inferno
5,310dust2
5,125nuke
3,668vertigo
2,148office
1,427train
290italy
164lake

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

Faceit stats

Combat

1,850Matches
51%Win rate
1.10Avg K/D
74.9ADR
39%Headshot %

Clutches & streaks

43%1v1 clutch win
26%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage16051%1.0414.2
Ancient11147%1.0915.2
Inferno6154%1.1014.7
Anubis5547%1.1115.1
Nuke5551%1.2415.8
Vertigo2245%1.0013.4
Dust22035%1.0415.6
Overpass1354%0.8512.5

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.

18.9%Headshot accuracy
39.1%Accuracy (enemy spotted)
43.4%Spray accuracy
89.8%Counter-strafing
8.7°Preaim
551msReaction time
9.7%T opening success
36.1%CT opening success
0.44Enemies flashed / flash
6.5%Flash assists
9.81HE damage / grenade
8.48Flashes / 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 0.4413 — 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 9.7293% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–10-0.0117%11 Aug
office13–70.0522%5 Aug
office9–13-0.0613%5 Aug
office5–13-0.0414%4 Aug
office13–90.0826%2 Aug
office13–7-0.0013%2 Aug
ancient3–13-0.0019%29 Jul
office13–40.1524%29 Jul
cache12–120.1420%23 Jul
office13–10-0.0421%23 Jul
nuke13–80.1113%22 Jul
cache9–30.1212%14 Jul
office13–110.0623%13 Jul
office13–40.0136%13 Jul
office2–13-0.0616%13 Jul
fachwerk7–13-0.088%13 Jul
cache5–11-0.0515%10 Jul
cache13–110.0124%8 Jul
cache12–120.0833%7 Jul
cache11–13-0.0213%3 Jul
cache10–00.060%3 Jul
cache9–130.0217%1 Jul
office12–120.0714%1 Jul
mirage13–90.0322%29 Jun
nuke5–11-0.0326%27 Jun
overpass5–13-0.0125%26 Jun
nuke13–60.0419%26 Jun
office13–70.0621%26 Jun
office13–40.1021%26 Jun
dust213–80.007%26 Jun
cache7–13-0.0323%23 Jun
cache13–9-0.0224%23 Jun
cache13–50.0816%13 Jun
office4–13-0.0142%13 Jun
mirage8–130.0024%9 Jun
alpine1–13-0.0331%15 Apr
alpine13–5-0.0324%12 Apr
alpine13–7-0.0629%12 Apr
mirage14–16-0.0023%20 Mar
inferno14–160.0311%1 Mar
office13–70.0628%28 Feb
inferno7–13-0.0434%26 Feb
nuke3–90.0150%20 Feb
overpass8–13-0.0419%17 Feb
mirage3–13-0.0717%17 Feb
mirage7–13-0.0342%16 Feb
ancient13–90.0110%16 Feb
overpass13–50.0019%15 Feb
mirage13–10-0.0217%15 Feb
inferno13–50.0418%15 Feb
mirage13–8-0.0514%13 Feb
dust213–80.0829%10 Feb
nuke13–8-0.038%12 Jan
office13–100.0418%25 Dec
nuke13–50.0221%9 Dec
office2–13-0.0131%1 Dec
office13–90.0937%29 Nov
inferno13–80.0518%16 Nov
dust213–70.0114%16 Nov
ancient9–13-0.047%12 Nov
inferno3–130.0129%11 Nov
office2–80.0010%10 Nov
dust213–40.0916%7 Nov
agency13–3-0.014%5 Nov
agency13–5-0.0116%5 Nov
mirage11–13-0.0018%4 Nov
mirage3–13-0.0327%4 Nov
mirage13–90.0320%4 Nov
nuke10–130.0636%3 Nov
office11–130.0521%2 Nov
nuke9–13-0.0212%2 Nov
mirage10–130.0116%2 Nov
ancient16–13-0.0212%2 Nov
office13–4-0.0624%2 Nov
office5–13-0.090%1 Nov
train13–100.0518%30 Oct
office8–80.0722%30 Oct
ancient13–70.0422%30 Oct
office13–100.0931%29 Oct
mirage13–8-0.0818%29 Oct
ancient9–13-0.036%28 Oct
nuke13–100.0919%28 Oct
dust213–50.0920%28 Oct
office5–130.0126%26 Oct
overpass7–130.0119%25 Oct
dust213–30.1521%25 Oct
ancient15–150.0723%23 Oct
dust213–11-0.0027%23 Oct
nuke10–13-0.0619%23 Oct
mirage13–7-0.0224%23 Oct
ancient9–13-0.0119%23 Oct
dust216–130.0616%23 Oct
ancient6–130.0622%22 Oct
inferno5–13-0.0618%21 Oct
dust213–60.0317%19 Oct
dust213–70.0218%19 Oct
mirage9–13-0.0324%18 Oct
ancient13–6-0.0222%18 Oct
nuke13–10-0.0117%18 Oct
nuke9–130.0115%18 Oct

Match data via Leetify.

Milestones

Faceit Level 102K ELO1,000 Matches
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