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✰ ☆ ★Hirvi★ ☆✰ — CS2 Stats

76561198022961386[U:1:62695658]

1,907Tracked matches11%Win rate2021Tracked since
4,271Hours in CS20Hrs last 2 wks
CSDB Rating2.1 Learning
FaceitLevel 4 · 1,040 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate38.7%42.5%44.2%5.5% short
Shot accuracy11.8%10.9%11.2%above
Kill/death ratio0.990.991.040.04 short
Match win rate68.1%44.2%45.3%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✰ ☆ ★Hirvi★ ☆✰FACEITLevel 4 · 1,040 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim15
Positioning34
Utility43

0–100 skill scores via Leetify.

Recent form

COLD31–62–7Last 10031%Win rateLLLLLLTLLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim1.5
Aggression1.2
Utility4.3
Positioning3.4
Opening Duels0.0
Clutch1.4

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 64% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 708ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.5
Positioning3.4
Utility4.3
Mechanics3.6
Opening Duels0.0
Win Impact0.0

Composite 2.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time727ms+26ms
first ⅓ avg 701ms → last ⅓ avg 727ms
Headshot accuracy13.5%−0.9%
first ⅓ avg 14.4% → last ⅓ avg 13.5%

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

0.12Best rating — overpass 13–9
13–0Biggest win — ancient
5Longest win streak
L6Current streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 67% over 6infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheD175–1229%-0.05
dust2D174–1324%-0.04
vertigoD124–833%-0.03
ancientC125–742%-0.01
trainC94–544%-0.04
infernoD81–713%-0.03
overpassD72–529%-0.01
anubisD71–614%-0.03
mirageS64–267%-0.03
nuke—41–325%-0.05
boulder—10–10%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,297Lifetime kills
0.99K/D
10,852Matches
68.1%Match win rate · Top 1% of Level 4 players
38.7%Headshot %
11.8%Shot accuracy · Top 50% of Level 4 players
10,907MVPs
2,342Hours (in match)
5,950Bombs planted
1,130Bombs defused

Most-used weapons

M4A4 / M4A1-S13,795
AK-4713,723
UMP-459,354
P906,402
Desert Eagle4,955
Five-SeveN4,205
AWP4,143
P2503,885
Tec-93,430
P2000 / USP-S3,260

Lifetime map wins

8,097dust2
6,823inferno
3,733nuke
3,321train
2,241vertigo
1,840office
1,630cbble
528dust

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

Faceit stats

Combat

336Matches
48%Win rate
0.87Avg K/D
66.3ADR
40%Headshot %

Clutches & streaks

27%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis7446%0.8112.8
Ancient4749%0.8913.4
Mirage4141%0.9413.2
Vertigo3964%1.1214.2
Inferno3853%0.9412.2
Nuke3543%0.7611.0
Dust23540%0.7510.9
Overpass1741%0.7612.3

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.

14.0%Headshot accuracy
25.4%Accuracy (enemy spotted)
28.3%Spray accuracy
66.1%Counter-strafing
13.0°Preaim
708msReaction time
21.5%T opening success
25.4%CT opening success
0.71Enemies flashed / flash
7.3%Flash assists
6.66HE damage / grenade
6.65Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0494° — above the 12° mark we flag

    Aim Training →
  2. 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 13.9995% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 707.5835ms — above the 700ms mark we flag

    Aim Training →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo4–13-0.078%22 Aug →
nuke6–13-0.0214%22 Aug →
overpass2–13-0.0513%22 Aug →
ancient9–130.0216%22 Aug →
cache10–130.0014%22 Aug →
dust23–13-0.0927%22 Aug →
train12–12-0.014%22 Aug →
ancient7–13-0.0011%22 Aug →
vertigo3–13-0.064%22 Aug →
mirage8–13-0.0618%21 Aug →
overpass9–13-0.028%15 Aug →
cache2–13-0.060%15 Aug →
vertigo0–13-0.150%15 Aug →
train3–13-0.0128%15 Aug →
ancient7–130.0519%15 Aug →
dust23–13-0.0912%15 Aug →
dust21–13-0.0440%15 Aug →
train0–13-0.090%14 Aug →
overpass6–13-0.0841%14 Aug →
mirage3–13-0.108%14 Aug →
dust23–13-0.097%14 Aug →
cache4–13-0.0817%14 Aug →
ancient9–130.0011%13 Aug →
cache7–13-0.1013%7 Aug →
mirage13–6-0.0521%7 Aug →
inferno12–12-0.0520%7 Aug →
ancient13–0-0.017%7 Aug →
cache13–7-0.059%7 Aug →
anubis7–13-0.0612%7 Aug →
overpass4–130.0114%7 Aug →
cache13–10-0.1010%1 Aug →
ancient11–13-0.1012%1 Aug →
vertigo5–13-0.017%1 Aug →
dust212–120.0314%1 Aug →
anubis4–13-0.0910%24 Jul →
cache13–3-0.104%24 Jul →
dust214–16-0.1115%24 Jul →
cache16–13-0.064%24 Jul →
dust213–9-0.0717%24 Jul →
anubis10–13-0.056%24 Jul →
overpass13–6-0.0316%20 Jul →
anubis13–10-0.0623%20 Jul →
ancient13–11-0.0111%20 Jul →
train13–8-0.087%20 Jul →
vertigo9–40.0612%20 Jul →
cache7–13-0.0420%20 Jul →
dust213–40.038%20 Jul →
mirage13–80.0111%18 Jul →
inferno13–110.0210%18 Jul →
dust211–13-0.0110%18 Jul →
inferno13–160.0012%17 Jul →
cache4–13-0.0810%17 Jul →
inferno4–13-0.0418%17 Jul →
ancient16–12-0.0110%17 Jul →
vertigo6–13-0.0413%17 Jul →
anubis9–130.0033%17 Jul →
dust29–130.0021%17 Jul →
vertigo13–90.0010%11 Jul →
cache10–13-0.0214%11 Jul →
boulder12–120.0712%11 Jul →
inferno8–130.0313%11 Jul →
dust27–130.0723%11 Jul →
nuke13–8-0.057%10 Jul →
ancient13–20.0317%27 Jun →
vertigo11–13-0.0712%27 Jun →
anubis10–130.0210%27 Jun →
inferno9–13-0.0319%27 Jun →
train8–13-0.0317%27 Jun →
nuke4–13-0.0510%27 Jun →
overpass13–90.1216%27 Jun →
cache7–130.0216%27 Jun →
dust213–11-0.0615%27 Jun →
ancient5–13-0.0512%26 Jun →
cache11–13-0.0214%26 Jun →
mirage13–8-0.0314%26 Jun →
vertigo13–50.0327%26 Jun →
train13–11-0.0313%20 Jun →
vertigo13–90.0312%20 Jun →
cache6–13-0.0811%20 Jun →
dust212–12-0.0212%20 Jun →
train13–6-0.0320%19 Jun →
vertigo10–130.018%19 Jun →
dust27–13-0.018%19 Jun →
dust24–13-0.1115%18 Jun →
anubis3–130.009%18 Jun →
overpass11–13-0.057%18 Jun →
nuke2–13-0.1014%18 Jun →
train5–13-0.0432%18 Jun →
inferno2–13-0.1321%18 Jun →
ancient9–13-0.098%18 Jun →
cache6–13-0.0519%18 Jun →
vertigo8–13-0.0714%18 Jun →
cache12–12-0.0316%18 Jun →
dust212–12-0.0216%18 Jun →
ancient13–90.0611%17 Jun →
inferno5–13-0.0415%17 Jun →
mirage10–20.0418%17 Jun →
dust213–9-0.0514%17 Jun →
cache13–4-0.0310%17 Jun →
train8–6-0.0811%17 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 →

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