Gamla Hosuja

Gamla Hosuja — CS2 Stats

FI76561198070273248[U:1:110007520]Steam profile ↗✓ No bans

2,923Tracked matches53%Win rate2020Tracked since
9,159Hours in CS32Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
FaceitLevel 8 · 1,620 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=13,483), 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 8 medianLevel 9 medianvs Level 9
Headshot rate34.7%46.8%48.3%13.6% short
Shot accuracy10.4%13.0%13.2%2.9% short
Kill/death ratio0.801.061.070.27 short
Match win rate40.8%46.3%46.9%6.1% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGamla HosujaFACEITLevel 8 · 1,620 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning45
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY5644Last 10056%Win rateLWLWWLLLWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +3.2pp headshot accuracy · +58ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 570ms

Last 20

  • 137 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 541ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+3 against its own average).

Aim5.9
Utility6.8
Positioning4.5
Opening Duels0.8
Clutch3.0

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim5.9
Positioning4.5
Utility6.8
Mechanics5.4
Opening Duels0.2
Win Impact6.1

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time527ms−57ms
first ⅓ avg 584ms → last ⅓ avg 527ms
Headshot accuracy13.1%−0.4%
first ⅓ avg 13.5% → last ⅓ avg 13.1%

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.

Personal bests

0.06Best match rating · 13–0 · ancient, 5 Sept
44%Best headshot accuracy · 9–4 · poseidon, 5 Sept
383msFastest reaction time · 8–13 · inferno, 7 Sept
13–0Biggest win · ancient, 5 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
68In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 63% over 24infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
ancientA2415963%-0.01
cacheA169756%-0.03
anubisB158753%-0.03
infernoC146843%-0.03
mirageB136746%-0.03
vertigoB137654%-0.02
nuke220100%-0.02
dust2220100%-0.01
poseidon110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,592Lifetime kills
0.80K/D
5,883Matches
40.8%Match win rate
34.7%Headshot %
10.4%Shot accuracy
11,584MVPs
10,684Hours (in match)
6,502Bombs planted
1,573Bombs defused

Most-used weapons

AK-4721,374
AWP20,594
Knife1,824
MP91,722
MAC-101,671

Lifetime map wins

15,235inferno
7,631vertigo
3,589nuke
2,242train
2,222dust2
183lake
124cbble
105bank

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

Faceit stats

Combat

1,766Matches
50%Win rate
0.83Avg K/D
64.0ADR
35%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient35654%0.8812.3
Inferno23551%0.8512.7
Mirage23347%0.7811.7
Vertigo16061%0.9113.2
Anubis13446%0.8212.6
Nuke10644%0.7711.8
Overpass5746%0.7711.4
Train4356%0.8312.8

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.

13.1%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.8%Spray accuracy
74.2%Counter-strafing
10.8°Preaim
524msReaction time
28.3%T opening success
32.0%CT opening success
0.55Enemies flashed / flash
11.9%Flash assists
9.88HE damage / grenade
13.05Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0863% — below the 15% mark we flag

    Aim Training
  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 28.289% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0319%20 Sept
mirage13–5-0.0314%20 Sept
vertigo10–13-0.0115%19 Sept
ancient13–11-0.049%19 Sept
nuke13–40.038%16 Sept
ancient3–13-0.0613%16 Sept
vertigo9–13-0.0511%13 Sept
cache6–13-0.0116%13 Sept
inferno19–17-0.0220%12 Sept
inferno19–16-0.0513%12 Sept
dust213–11-0.019%12 Sept
cache13–7-0.0219%12 Sept
mirage13–3-0.012%12 Sept
mirage13–4-0.0011%12 Sept
nuke13–5-0.076%12 Sept
inferno8–13-0.0314%7 Sept
vertigo11–13-0.0314%6 Sept
inferno13–11-0.0410%6 Sept
ancient13–40.0211%6 Sept
vertigo13–70.0511%6 Sept
anubis5–13-0.1025%6 Sept
vertigo13–5-0.0220%6 Sept
ancient7–13-0.045%6 Sept
anubis5–13-0.0114%6 Sept
ancient9–13-0.079%6 Sept
cache4–13-0.0613%6 Sept
anubis14–16-0.0416%6 Sept
vertigo13–4-0.087%5 Sept
ancient13–70.0215%5 Sept
anubis14–16-0.0013%5 Sept
cache13–6-0.0418%5 Sept
ancient13–7-0.019%5 Sept
mirage9–13-0.0121%5 Sept
ancient13–00.0610%5 Sept
mirage10–13-0.0112%5 Sept
poseidon9–40.0144%5 Sept
anubis13–30.0418%5 Sept
ancient13–50.0115%5 Sept
vertigo16–12-0.007%30 Aug
anubis13–5-0.0210%30 Aug
ancient6–13-0.0510%30 Aug
ancient13–5-0.053%23 Aug
vertigo13–60.0110%23 Aug
cache6–13-0.0320%23 Aug
vertigo13–8-0.0119%23 Aug
vertigo16–19-0.0310%23 Aug
cache16–14-0.038%23 Aug
cache13–20.0612%23 Aug
inferno10–13-0.0212%23 Aug
ancient13–10-0.0014%23 Aug
ancient20–22-0.0014%23 Aug
vertigo22–18-0.0313%22 Aug
ancient13–00.059%21 Aug
inferno7–13-0.0415%21 Aug
anubis9–130.0113%19 Aug
anubis2–13-0.0918%18 Aug
mirage13–40.058%18 Aug
anubis13–5-0.0016%18 Aug
mirage4–13-0.0322%18 Aug
ancient19–150.019%18 Aug
anubis13–70.0111%18 Aug
inferno8–13-0.0110%17 Aug
cache13–5-0.0516%17 Aug
inferno17–19-0.0113%17 Aug
vertigo7–13-0.0427%17 Aug
cache8–13-0.056%17 Aug
ancient13–90.0223%17 Aug
vertigo9–13-0.0113%17 Aug
cache13–4-0.0712%17 Aug
inferno13–9-0.0222%13 Aug
mirage10–13-0.0414%11 Aug
cache13–9-0.0121%9 Aug
anubis13–6-0.0427%9 Aug
ancient13–80.024%2 Aug
cache10–13-0.0814%2 Aug
inferno16–13-0.068%26 Jul
ancient13–3-0.0011%26 Jul
cache3–13-0.0313%25 Jul
cache13–9-0.0412%25 Jul
ancient13–3-0.0222%25 Jul
ancient13–10-0.025%25 Jul
inferno9–13-0.058%22 Jul
mirage15–19-0.0523%12 Jul
cache11–13-0.0610%12 Jul
anubis13–2-0.0011%9 Jul
cache13–100.0119%9 Jul
mirage13–11-0.028%9 Jul
anubis13–5-0.069%9 Jul
ancient11–13-0.0214%9 Jul
ancient6–13-0.0217%8 Jul
anubis7–13-0.085%7 Jul
ancient10–13-0.0311%7 Jul
mirage13–7-0.0312%7 Jul
mirage4–13-0.0314%6 Jul
dust213–2-0.0218%6 Jul
inferno8–13-0.0510%5 Jul
anubis13–10-0.0216%5 Jul
mirage7–13-0.116%4 Jul
inferno13–9-0.0218%4 Jul
inferno11–13-0.0420%27 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 →