Hirschi — CS2 Stats

76561198039922543[U:1:79656815]

849Tracked matches62%Win rate2020Tracked since
CSDB Rating5.5 SolidPassive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGHirschiFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning32
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateWWLLLLWLWL

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.

Aim7.8
Aggression3.4
Utility1.1
Positioning3.2
Opening Duels0.0

Excellent counter-strafingLimited utility dependence

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 74% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 45 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.

Reaction time. 642ms 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

Aim7.8
Positioning3.2
Utility1.1
Mechanics9.3
Opening Duels0.3
Win Impact9.0

Composite 5.5/10 (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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time631ms+22ms
first ⅓ avg 608ms → last ⅓ avg 631ms
Headshot accuracy18.8%−2.9%
first ⅓ avg 21.7% → 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

0.10Best rating — office 13–3
131Biggest win — shelter
9Longest win streak
W2Current streak
113In matches decided by ≤2 rounds
1Overtime games

Map breakdown

shelterBest map · 68% over 40officeWeakest map · 34% over 53
MapGradePlayedRecordWin rateAvg rating
officeD53183534%-0.04
shelterS40271368%-0.02
dust241325%-0.06
ancient1010%-0.09
cache110100%-0.01
fachwerk1010%0.03

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.5%Headshot accuracy
35.6%Accuracy (enemy spotted)
33.6%Spray accuracy
91.8%Counter-strafing
8.4°Preaim
642msReaction time
32.7%T opening success
25.4%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
9.74HE damage / grenade
0.10Flashes / 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 0.0673 — 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 32.6639% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
shelter13–30.0112%28 Aug
dust213–8-0.024%25 Aug
ancient11–13-0.0918%25 Aug
shelter4–13-0.0422%25 Aug
shelter8–130.0225%23 Aug
shelter10–130.0220%21 Aug
shelter13–5-0.0213%20 Aug
dust29–13-0.0714%20 Aug
shelter13–40.0612%20 Aug
dust213–16-0.0826%20 Aug
shelter9–13-0.0610%19 Aug
shelter13–10-0.0321%19 Aug
shelter12–12-0.0129%18 Aug
shelter4–13-0.0421%18 Aug
shelter9–13-0.1416%18 Aug
shelter7–130.0233%17 Aug
shelter13–100.0819%17 Aug
shelter13–9-0.0324%17 Aug
shelter13–11-0.0313%16 Aug
shelter13–11-0.0218%16 Aug
shelter13–110.0322%14 Aug
shelter8–13-0.0315%13 Aug
shelter13–7-0.0419%13 Aug
shelter13–9-0.0527%12 Aug
shelter13–2-0.0312%12 Aug
shelter13–6-0.0714%11 Aug
shelter13–70.0018%11 Aug
shelter13–9-0.0337%11 Aug
shelter13–10-0.0719%10 Aug
shelter13–11-0.0324%10 Aug
shelter13–7-0.0011%8 Aug
shelter10–13-0.0713%8 Aug
shelter5–13-0.0918%7 Aug
shelter13–10-0.0532%6 Aug
shelter5–13-0.0517%6 Aug
shelter13–10-0.0416%5 Aug
shelter13–60.0329%5 Aug
shelter13–9-0.0715%5 Aug
shelter13–20.0924%4 Aug
shelter13–11-0.0212%4 Aug
shelter13–90.0116%3 Aug
office13–7-0.0116%3 Aug
shelter13–10.0731%3 Aug
office4–13-0.0750%2 Aug
shelter13–6-0.0018%2 Aug
office9–40.0724%2 Aug
cache13–7-0.0117%30 Jul
shelter6–13-0.0614%30 Jul
office8–13-0.0234%27 Jul
office12–12-0.0628%19 Jul
fachwerk3–130.038%9 Jul
office13–110.0329%2 Jul
office3–13-0.0735%2 Jul
office9–13-0.067%29 Jun
office6–13-0.1315%24 Jun
office13–30.1028%22 Jun
office9–13-0.0517%15 Jun
office1–13-0.0640%14 Jun
office6–13-0.0845%11 Jun
office11–13-0.0440%10 Jun
office9–13-0.0825%9 Jun
office12–120.0022%8 Jun
office2–130.008%20 May
office10–13-0.0318%18 May
office4–13-0.1021%15 May
office13–7-0.0635%14 May
office13–5-0.0321%14 May
office3–13-0.0815%12 May
office13–80.0324%11 May
office9–130.0217%10 May
office13–11-0.0916%9 May
office10–13-0.0431%19 Apr
office12–12-0.0120%11 Apr
office13–8-0.0131%6 Apr
office12–12-0.0221%6 Apr
office13–90.0429%4 Apr
office7–13-0.0319%3 Apr
office10–13-0.0822%2 Apr
office11–13-0.0637%29 Mar
office10–130.0424%28 Mar
office9–13-0.1016%28 Mar
office13–11-0.0319%28 Mar
office13–8-0.038%28 Mar
office9–13-0.0517%26 Mar
office5–13-0.0134%24 Mar
dust26–13-0.104%24 Mar
office3–13-0.0625%23 Mar
office13–7-0.0129%23 Mar
office8–13-0.0611%22 Mar
office13–11-0.0631%22 Mar
office6–13-0.0524%22 Mar
office1–13-0.0522%22 Mar
office13–11-0.0612%21 Mar
office7–13-0.0427%21 Mar
office13–4-0.0027%20 Mar
office5–13-0.0636%20 Mar
office13–8-0.0518%20 Mar
office13–11-0.048%19 Mar
office12–12-0.0317%19 Mar
office10–13-0.0428%19 Mar

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 →