Hynnyte

Hynnyte — CS2 Stats

FI76561198201442693[U:1:241176965]Steam profile ↗✓ No bans

1,188Tracked matches55%Win rate2022Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating17,624Purple band · top ~18% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,624 +4,117 24 Jul – 3 Nov · 33 days played
13,17118,802peak 18,80224 Jul3 Nov
18,904Peak Premier in tracked matches
33Days played since 2026-07-24

Premier CS Rating

  • 1,178 below peak (18,802)
  • +2,377 over 30 days · improving
  • +3,190 over 90 days
  • Next: Pink band at 20,000 — 2,376 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGHynnyteFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,624 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning64
Utility71

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateLWLLLLTWLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +1.0pp headshot accuracy · −19ms reaction

Win rate down 50pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 555ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 566ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 576ms

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: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim7.3
Utility7.1
Positioning6.4
Opening Duels2.8
Clutch2.0

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

iM

Plays most like iM 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Areas to improve

Reaction time. 585ms 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

Aim7.3
Positioning6.4
Utility7.1
Mechanics6.5
Opening Duels4.7
Win Impact6.7

Composite 6.7/10 (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+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time576ms−72ms
first ⅓ avg 648ms → last ⅓ avg 576ms
Headshot accuracy24.2%+1.0%
first ⅓ avg 23.2% → last ⅓ avg 24.2%

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

0.19Best match rating · 13–3 · dust2, 2 Oct →
71%Best headshot accuracy · 13–3 · vertigo, 14 Oct →
391msFastest reaction time · 11–13 · ancient, 2 Oct →
13–2Biggest win · nuke, 16 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeA2212–1055%0.04
ancientS1711–665%0.05
dust2C166–1038%0.03
mirageB137–654%0.02
cacheB126–650%0.02
infernoD113–827%-0.01
anubisS86–275%0.01
vertigo—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

118Matches
52%Win rate
1.14Avg K/D
84.8ADR
34%Headshot %

Clutches & streaks

30%1v1 clutch win
38%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient743%1.3917.3
Anubis475%1.1214.5
Nuke475%1.1815.5
Inferno367%1.1314.7
Dust2333%1.9319.7
Mirage250%1.2417.5
Overpass10%0.477.0
Vertigo1100%1.2515.0

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.

24.2%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.6%Spray accuracy
79.0%Counter-strafing
9.8°Preaim
585msReaction time
49.5%T opening success
47.7%CT opening success
0.67Enemies flashed / flash
12.6%Flash assists
10.30HE damage / grenade
12.50Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0214%3 Nov →
mirage13–60.0428%3 Nov →
inferno6–13-0.0630%2 Nov →
mirage10–130.0538%2 Nov →
nuke11–130.0228%2 Nov →
nuke9–130.0330%2 Nov →
cache15–150.0518%31 Oct →
cache13–50.0325%31 Oct →
nuke3–13-0.0533%26 Oct →
inferno12–160.0313%26 Oct →
nuke13–90.0418%26 Oct →
nuke13–100.0322%26 Oct →
inferno13–50.0229%23 Oct →
nuke13–90.0422%23 Oct →
dust210–13-0.0033%23 Oct →
nuke13–60.0534%23 Oct →
dust213–100.0830%23 Oct →
mirage12–160.0728%23 Oct →
ancient13–70.1217%22 Oct →
inferno9–130.0215%22 Oct →
dust213–30.0844%22 Oct →
nuke13–40.0436%22 Oct →
inferno5–13-0.077%21 Oct →
mirage13–100.0725%21 Oct →
anubis5–13-0.0612%21 Oct →
dust213–70.0123%21 Oct →
dust25–130.0119%21 Oct →
nuke13–80.0821%20 Oct →
nuke13–2-0.0231%16 Oct →
cache13–60.0415%16 Oct →
ancient13–30.0016%16 Oct →
mirage15–15-0.0224%16 Oct →
cache13–90.0122%16 Oct →
nuke13–60.0624%16 Oct →
mirage13–110.0431%14 Oct →
anubis6–13-0.0224%14 Oct →
dust28–13-0.0129%14 Oct →
vertigo13–30.0271%14 Oct →
nuke10–13-0.0244%14 Oct →
anubis13–50.0931%13 Oct →
cache13–60.0521%13 Oct →
anubis13–80.0321%11 Oct →
ancient11–13-0.0123%11 Oct →
ancient13–20.0822%11 Oct →
dust27–13-0.0158%10 Oct →
mirage13–7-0.0026%10 Oct →
inferno6–13-0.0316%9 Oct →
nuke13–50.0521%9 Oct →
dust214–160.0131%9 Oct →
dust25–13-0.0032%2 Oct →
nuke13–70.1622%2 Oct →
mirage3–13-0.0638%2 Oct →
mirage13–90.1025%2 Oct →
dust213–30.1922%2 Oct →
ancient11–130.0519%2 Oct →
anubis13–5-0.0017%2 Oct →
ancient15–150.0430%26 Sept →
ancient5–130.0425%26 Sept →
nuke4–130.0930%26 Sept →
mirage10–13-0.0223%25 Sept →
dust213–40.1130%6 Sept →
nuke9–130.0216%6 Sept →
ancient13–20.0021%5 Sept →
mirage16–140.0224%24 Aug →
ancient13–60.0823%24 Aug →
cache9–130.0221%18 Aug →
mirage13–100.0023%18 Aug →
nuke9–130.0424%18 Aug →
inferno16–140.0426%18 Aug →
ancient13–60.0622%18 Aug →
nuke6–13-0.0536%14 Aug →
cache13–16-0.0123%11 Aug →
anubis13–10-0.0436%11 Aug →
ancient13–60.0520%11 Aug →
mirage7–13-0.0419%8 Aug →
cache9–13-0.0511%8 Aug →
anubis13–90.0316%8 Aug →
ancient7–130.0424%7 Aug →
dust23–130.0014%7 Aug →
ancient13–60.1017%6 Aug →
nuke15–150.0616%6 Aug →
cache13–40.0129%6 Aug →
cache11–13-0.0324%5 Aug →
ancient13–80.0219%5 Aug →
anubis13–30.0718%5 Aug →
nuke15–150.0126%4 Aug →
nuke13–90.0518%4 Aug →
dust24–13-0.0529%4 Aug →
cache13–80.0524%4 Aug →
inferno2–13-0.0332%3 Aug →
nuke13–40.1034%3 Aug →
dust211–130.0022%3 Aug →
cache11–130.0112%3 Aug →
dust213–100.0029%3 Aug →
inferno13–90.0238%3 Aug →
ancient13–40.1529%28 Jul →
inferno14–160.0722%27 Jul →
ancient13–60.0625%27 Jul →
ancient8–13-0.0027%26 Jul →
inferno2–13-0.116%24 Jul →

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 →

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