BigmanHenkka

BigmanHenkka — CS2 Stats

FI76561198207208688[U:1:246942960]Steam profile ↗✓ No bans

1,537Tracked matches73%Win rate2021Tracked since
3,395Hours in CS89Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating19,284Top 50% of 213,211 CSDB-tracked playersPurple band · top ~11.3% of ranked players (population est.)
CSDB Leaderboard#95938 of 259962 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 19,284 +4,284 23 Sept – 4 Nov · 16 days played
14,02919,618peak 19,61823 Sept4 Nov
19,967Peak Premier in tracked matches
26Days played since 2026-09-22

Premier CS Rating

  • 334 below peak (19,618)
  • +1,886 over 30 days · improving
  • Next: Pink band at 20,000 — 716 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate52.4%48.2%50.9%above
Shot accuracy11.5%13.2%13.7%2.2% short
Kill/death ratio1.011.071.090.08 short
Match win rate41.8%46.9%48.4%6.6% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBigmanHenkkaFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,284 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86
Positioning65
Utility48

0–100 skill scores via Leetify.

Recent form

HOT63–35–2Last 10063%Win rateLLWWWWLWWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.9pp headshot accuracy · −13ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 491ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 503ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 510ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.6
Utility4.8
Positioning6.5
Opening Duels4.6
Clutch4.2

Sharp aimer

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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.6
Positioning6.5
Utility4.8
Mechanics7.0
Opening Duels5.6
Win Impact10.0

Composite 7.2/10 (Strong), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time509ms−36ms
first ⅓ avg 545ms → last ⅓ avg 509ms
Headshot accuracy24.2%+2.4%
first ⅓ avg 21.9% → 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

0.17Best match rating · 12–12 · vertigo, 2 Oct →
44%Best headshot accuracy · 9–13 · inferno, 22 Sept →
352msFastest reaction time · 13–7 · ancient, 13 Oct →
13–0Biggest win · ancient, 3 Nov →

Across the last 100 tracked matches.

Highlights

12Longest win streak
L2Current streak
11–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 88% over 17dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C176–1135%-0.01
mirageS1715–288%0.01
ancientS1612–475%0.01
nukeS1611–569%0.03
infernoA127–558%0.00
anubisA127–558%0.02
cacheA85–363%0.00
vertigo—10–10%0.17
office—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,972Lifetime kills
1.01K/D
4,621Matches
41.8%Match win rate
52.4%Headshot % · Top 50% of Level 9 players
11.5%Shot accuracy
11,814MVPs
2,099Hours (in match)
2,461Bombs planted
784Bombs defused

Most-used weapons

AK-4740,592
AWP15,673
FAMAS2,387
MP91,412
MAC-101,351

Lifetime map wins

6,146inferno
3,756nuke
2,843dust2
2,289vertigo
1,708cbble
540train
442office
161lake

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

Faceit stats

Combat

490Matches
53%Win rate
1.12Avg K/D
81.3ADR
49%Headshot %

Clutches & streaks

41%1v1 clutch win
26%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis9862%1.1817.0
Mirage8653%1.1316.1
Ancient7849%1.0516.6
Inferno4139%0.9515.4
Nuke4065%1.1517.1
Dust22138%0.8312.6
Vertigo1547%1.1618.8
Overpass1450%1.1218.4

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.

24.6%Headshot accuracy
35.1%Accuracy (enemy spotted)
38.3%Spray accuracy
81.6%Counter-strafing
9.4°Preaim
507msReaction time
58.5%T opening success
46.6%CT opening success
0.61Enemies flashed / flash
4.3%Flash assists
7.14HE damage / grenade
14.17Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0623%4 Nov →
cache13–160.0422%3 Nov →
mirage13–80.0130%3 Nov →
ancient13–00.0525%3 Nov →
cache13–30.0421%3 Nov →
cache13–7-0.0140%2 Nov →
dust213–16-0.0125%2 Nov →
ancient13–7-0.0524%1 Nov →
ancient13–80.048%1 Nov →
nuke13–60.1339%1 Nov →
mirage13–7-0.0216%1 Nov →
cache10–13-0.0224%1 Nov →
nuke13–11-0.0130%1 Nov →
inferno13–60.0228%31 Oct →
nuke13–30.0533%31 Oct →
cache13–11-0.0211%31 Oct →
nuke12–160.0330%31 Oct →
dust211–130.0217%31 Oct →
nuke13–30.0626%31 Oct →
mirage13–20.0631%31 Oct →
ancient13–70.0433%31 Oct →
anubis13–20.0624%31 Oct →
mirage13–3-0.0029%31 Oct →
anubis13–110.0133%28 Oct →
mirage13–80.0722%24 Oct →
ancient13–90.0421%23 Oct →
inferno9–13-0.0222%22 Oct →
mirage14–16-0.0218%22 Oct →
dust213–11-0.0220%22 Oct →
ancient13–20.1324%22 Oct →
dust26–13-0.0023%22 Oct →
nuke13–60.0018%21 Oct →
mirage13–7-0.0512%19 Oct →
ancient18–220.0020%19 Oct →
mirage13–2-0.0118%15 Oct →
anubis13–100.0221%15 Oct →
ancient10–13-0.0014%15 Oct →
dust28–13-0.0426%14 Oct →
ancient13–7-0.0318%13 Oct →
ancient13–6-0.0012%9 Oct →
dust29–130.0326%8 Oct →
anubis13–160.0418%8 Oct →
inferno13–100.0914%8 Oct →
anubis7–13-0.0125%8 Oct →
nuke4–130.0329%8 Oct →
anubis13–50.0319%6 Oct →
anubis15–15-0.0118%5 Oct →
ancient13–60.0820%5 Oct →
mirage13–60.0332%5 Oct →
inferno7–13-0.0528%5 Oct →
inferno13–60.0610%5 Oct →
nuke13–60.0728%5 Oct →
nuke13–40.0318%3 Oct →
vertigo12–120.1724%2 Oct →
dust20–13-0.1124%2 Oct →
office10–130.0128%2 Oct →
nuke13–60.1440%2 Oct →
dust211–13-0.0120%2 Oct →
cache13–60.0318%2 Oct →
mirage11–13-0.0120%2 Oct →
nuke13–10-0.0017%2 Oct →
dust29–13-0.0332%2 Oct →
cache10–13-0.0519%2 Oct →
inferno13–11-0.0628%2 Oct →
ancient13–60.0116%2 Oct →
ancient13–20.0629%2 Oct →
nuke9–13-0.0122%1 Oct →
dust213–90.0123%1 Oct →
mirage13–110.0125%1 Oct →
inferno10–130.0121%1 Oct →
mirage13–90.0220%1 Oct →
nuke13–100.0028%1 Oct →
anubis8–130.0516%30 Sept →
inferno11–130.039%30 Sept →
mirage16–140.0520%30 Sept →
anubis13–5-0.0016%29 Sept →
anubis13–110.058%29 Sept →
mirage13–110.0119%29 Sept →
inferno16–140.0021%29 Sept →
dust213–4-0.0613%29 Sept →
cache8–20.0224%29 Sept →
mirage13–110.0212%29 Sept →
ancient13–4-0.0221%29 Sept →
anubis13–90.0322%29 Sept →
mirage13–60.0420%29 Sept →
dust213–7-0.0117%24 Sept →
dust28–13-0.0327%24 Sept →
anubis9–13-0.0417%24 Sept →
nuke2–13-0.0527%24 Sept →
inferno16–13-0.0232%24 Sept →
dust29–13-0.0031%24 Sept →
dust213–90.0226%24 Sept →
ancient4–13-0.1120%24 Sept →
dust213–70.1238%24 Sept →
ancient6–13-0.0416%23 Sept →
mirage13–40.0018%23 Sept →
inferno13–30.0216%23 Sept →
nuke11–13-0.0142%23 Sept →
nuke13–40.0613%22 Sept →
inferno9–13-0.0344%22 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.