Harry Himmler

Harry Himmler — CS2 Stats

DE76561197978240908[U:1:17975180]Steam profile ↗✓ No bans

681Tracked matches43%Win rate2020Tracked since
CSDB Rating4.6 DevelopingSupport
Premier CS Rating12,323Blue band · top ~42.6% 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 30 Sep 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: 12,323 -3,597 24 Jun – 30 Sept · 20 days played
12,32315,949peak 15,94924 Jun30 Sept
16,122Peak Premier in tracked matches
36Days played since 2026-06-24

Premier CS Rating

  • 3,626 below peak (15,949)
  • -1,370 over 30 days · declining
  • -3,191 over 90 days
  • Next: Purple band at 15,000 — 2,677 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-18
  • Light Blue band first seen 2026-09-18

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

Share this profile

CSDB.GGHarry HimmlerFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER12,323 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning42
Utility56

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLLWWLLLLLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +4.3pp headshot accuracy · −6ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 600ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 562ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 565ms

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 (+1.8 against its own average).

Aim6.4
Utility5.6
Positioning4.2
Opening Duels1.3
Clutch4.2

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 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 554ms 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

Aim6.4
Positioning4.2
Utility5.6
Mechanics5.4
Opening Duels1.7
Win Impact2.8

Composite 4.6/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time562ms−42ms
first ⅓ avg 604ms → last ⅓ avg 562ms
Headshot accuracy20.4%+0.4%
first ⅓ avg 20.0% → last ⅓ avg 20.4%

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

0.18Best match rating · 9–0 · cache, 29 Jun →
50%Best headshot accuracy · 4–13 · cache, 21 Aug →
391msFastest reaction time · 1–13 · anubis, 21 Aug →
13–2Biggest win · cache, 11 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 62% over 13infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB2111–1052%0.02
infernoD165–1131%-0.02
ancientB157–847%-0.03
dust2A138–562%-0.01
nukeA116–555%-0.02
anubisB105–550%-0.06
vertigo—33–0100%-0.01
office—31–233%-0.05
train—32–167%0.02
overpass—31–233%-0.00
mirage—21–150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

168Matches
54%Win rate
0.81Avg K/D
69.2ADR
52%Headshot %

Clutches & streaks

41%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust22157%0.9111.6
Ancient2045%0.7812.2
Inferno1947%0.8012.0
Anubis1155%0.8612.1
Mirage1050%1.1018.2
Nuke862%1.1815.0
Cache850%0.9214.8
Overpass743%0.6911.4

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.

20.3%Headshot accuracy
31.5%Accuracy (enemy spotted)
33.2%Spray accuracy
74.2%Counter-strafing
9.7°Preaim
554msReaction time
37.4%T opening success
35.8%CT opening success
0.66Enemies flashed / flash
5.0%Flash assists
9.42HE damage / grenade
7.67Flashes / 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 37.4172% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0719%30 Sept →
cache10–13-0.0627%30 Sept →
vertigo13–100.0828%25 Sept →
cache13–110.0221%19 Sept →
dust24–13-0.1028%18 Sept →
inferno5–13-0.0219%18 Sept →
anubis9–13-0.0527%18 Sept →
inferno12–160.0226%17 Sept →
inferno11–130.0131%17 Sept →
ancient13–30.0210%17 Sept →
ancient6–13-0.0521%15 Sept →
cache9–13-0.0626%15 Sept →
dust213–90.0314%13 Sept →
dust213–50.0933%13 Sept →
ancient13–9-0.0615%12 Sept →
cache13–20.0726%11 Sept →
ancient13–7-0.0219%11 Sept →
nuke10–13-0.080%11 Sept →
dust216–14-0.0519%11 Sept →
anubis6–13-0.1120%11 Sept →
inferno10–13-0.0313%9 Sept →
dust211–13-0.0518%5 Sept →
office11–13-0.097%4 Sept →
inferno16–120.0226%1 Sept →
ancient13–40.0132%29 Aug →
dust211–130.0124%29 Aug →
ancient13–11-0.0618%28 Aug →
anubis11–13-0.0918%28 Aug →
ancient11–13-0.0410%27 Aug →
anubis13–70.0317%27 Aug →
anubis13–11-0.0721%27 Aug →
nuke11–13-0.0313%27 Aug →
nuke10–13-0.0624%27 Aug →
anubis13–8-0.0521%27 Aug →
nuke10–130.0313%25 Aug →
cache13–50.0914%25 Aug →
ancient8–13-0.0718%24 Aug →
inferno13–30.0312%24 Aug →
dust213–90.0322%24 Aug →
mirage13–80.0326%24 Aug →
inferno7–13-0.0513%23 Aug →
ancient15–15-0.0214%23 Aug →
nuke13–8-0.0023%23 Aug →
ancient16–13-0.049%22 Aug →
nuke13–2-0.0415%22 Aug →
inferno7–13-0.0220%22 Aug →
cache13–50.0124%22 Aug →
cache13–3-0.0136%22 Aug →
anubis1–13-0.120%21 Aug →
ancient9–13-0.0526%21 Aug →
dust213–10-0.0514%21 Aug →
dust213–20.1025%21 Aug →
inferno3–13-0.0825%21 Aug →
inferno5–13-0.0419%21 Aug →
nuke13–16-0.0530%21 Aug →
cache4–130.0150%21 Aug →
inferno8–13-0.0223%20 Aug →
dust213–9-0.0712%19 Aug →
anubis13–11-0.0514%17 Aug →
inferno13–70.0124%17 Aug →
dust28–13-0.0414%17 Aug →
cache11–130.0226%17 Aug →
cache10–130.0212%17 Aug →
cache13–100.0326%17 Aug →
ancient6–13-0.0620%15 Aug →
cache13–80.0522%15 Aug →
vertigo16–14-0.0513%15 Aug →
dust216–12-0.0010%15 Aug →
vertigo13–10-0.0515%15 Aug →
ancient16–130.0026%14 Aug →
inferno16–14-0.0419%14 Aug →
cache8–13-0.0023%14 Aug →
cache13–90.1026%14 Aug →
ancient8–13-0.0629%13 Aug →
cache13–5-0.0624%13 Aug →
anubis11–13-0.0122%13 Aug →
anubis13–6-0.0521%13 Aug →
cache8–130.1125%13 Aug →
train13–100.0624%13 Aug →
train13–50.0424%13 Aug →
overpass13–50.0617%5 Jul →
overpass13–160.0314%4 Jul →
inferno11–130.0018%4 Jul →
ancient5–13-0.039%4 Jul →
nuke16–12-0.0014%3 Jul →
train5–13-0.0320%3 Jul →
office13–4-0.0550%3 Jul →
overpass9–13-0.0910%3 Jul →
cache13–10-0.0115%1 Jul →
office7–13-0.029%1 Jul →
cache6–13-0.037%29 Jun →
cache9–00.1820%29 Jun →
nuke13–40.0217%28 Jun →
mirage15–15-0.0035%27 Jun →
inferno13–6-0.058%27 Jun →
dust29–130.0035%27 Jun →
nuke13–6-0.0221%27 Jun →
cache7–13-0.0512%25 Jun →
inferno3–13-0.0815%24 Jun →
nuke13–50.0129%24 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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