✪ HarshuM

✪ HarshuM — CS2 Stats

IN76561198366646220[U:1:406380492]Steam profile ↗✓ No bans

4,183Tracked matches70%Win rate2021Tracked since
5,775Hours in CS28Hrs last 2 wks
CSDB Rating7.9 StrongPositional Player
Premier CS Rating27,508Top 5% of 215,558 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#4620 of 261650 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (11 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: 27,508 +2,508 9 Sept – 4 Nov · 18 days played
25,00029,180peak 29,1809 Sept4 Nov
29,180Peak Premier in tracked matches
17Days played since 2026-09-09

Premier CS Rating

  • 1,672 below peak (29,180)
  • Next: Gold band at 30,000 — 2,492 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-09
  • Pink band first seen 2026-09-09

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 10 among CSDB-tracked players (n=31,884), 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 10 median
Headshot rate44.2%50.9%
Shot accuracy6.4%13.7%
Kill/death ratio1.021.09
Match win rate46.6%48.4%

Share this profile

CSDB.GG✪ HarshuMFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,508 · Red 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

Aim84
Positioning75
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY68–29–3Last 10068%Win rateLLLLWWLWWW

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +1.0pp headshot accuracy · −30ms 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 527ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 523ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 538ms

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 (+2 against its own average).

Aim8.4
Utility5.9
Positioning7.5
Opening Duels5.8
Clutch3.0

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim8.4
Positioning7.5
Utility5.9
Mechanics5.8
Opening Duels7.2
Win Impact10.0

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time543ms+25ms
first ⅓ avg 518ms → last ⅓ avg 543ms
Headshot accuracy19.3%−0.7%
first ⅓ avg 20.0% → last ⅓ avg 19.3%

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

0.14Best match rating · 13–11 · anubis, 29 Oct →
45%Best headshot accuracy · 13–8 · inferno, 31 Oct →
352msFastest reaction time · 13–8 · inferno, 31 Oct →
13–2Biggest win · dust2, 31 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L4Current streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 80% over 30infernoWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2S3024–680%0.03
infernoC167–944%0.02
ancientS1512–380%0.02
anubisB157–847%0.03
mirageS1411–379%0.03
cacheS75–271%0.02
nuke—32–167%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,364Lifetime kills
1.02K/D
7,927Matches
46.6%Match win rate
44.2%Headshot %
6.4%Shot accuracy
17,242MVPs
3,055Hours (in match)
7,963Bombs planted
1,991Bombs defused

Most-used weapons

AK-4746,393
AWP23,516
MP93,643
FAMAS3,113
MAC-102,852

Lifetime map wins

17,316inferno
8,161dust2
2,595nuke
2,339vertigo
544train
69ar_shoots
52lake
40ar_baggage

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

Faceit stats

Combat

667Matches
53%Win rate
1.16Avg K/D
81.3ADR
49%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17347%1.0816.5
Anubis13561%1.2216.9
Inferno12159%1.3016.7
Ancient11348%1.1617.6
Dust24854%1.0716.7
Vertigo1947%1.0315.6
Cache1553%1.2418.3
Overpass1547%1.0917.8

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.

19.1%Headshot accuracy
37.8%Accuracy (enemy spotted)
44.3%Spray accuracy
76.0%Counter-strafing
8.4°Preaim
541msReaction time
56.3%T opening success
61.5%CT opening success
0.54Enemies flashed / flash
8.7%Flash assists
5.72HE damage / grenade
14.72Flashes / 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.

44% 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
inferno11–130.0515%4 Nov →
mirage6–130.0513%4 Nov →
dust26–130.0429%4 Nov →
cache10–13-0.0118%3 Nov →
ancient16–140.1016%3 Nov →
dust213–7-0.0221%3 Nov →
inferno4–13-0.0116%3 Nov →
mirage13–40.1017%2 Nov →
cache13–60.0216%2 Nov →
ancient13–60.0829%2 Nov →
anubis13–6-0.0614%2 Nov →
inferno13–9-0.0412%2 Nov →
dust213–70.1022%1 Nov →
ancient8–130.0311%1 Nov →
inferno13–70.1324%1 Nov →
inferno13–80.0219%1 Nov →
dust213–50.0619%1 Nov →
inferno11–13-0.0420%1 Nov →
nuke13–8-0.0322%1 Nov →
ancient13–10-0.0117%1 Nov →
inferno11–130.0530%1 Nov →
dust213–20.0419%31 Oct →
dust213–20.0318%31 Oct →
anubis6–13-0.049%31 Oct →
cache16–12-0.0016%31 Oct →
inferno13–70.0424%31 Oct →
dust213–40.0616%31 Oct →
mirage13–40.0314%31 Oct →
nuke13–10-0.0313%31 Oct →
inferno13–80.0045%31 Oct →
dust213–50.0523%31 Oct →
dust213–100.0420%31 Oct →
cache14–160.0622%30 Oct →
ancient13–100.0110%30 Oct →
anubis11–13-0.0119%30 Oct →
dust213–60.0626%30 Oct →
dust213–90.0722%30 Oct →
dust213–50.0421%30 Oct →
inferno13–160.0924%30 Oct →
mirage13–100.0419%30 Oct →
dust213–100.0320%30 Oct →
ancient13–40.0529%29 Oct →
dust213–60.0623%29 Oct →
anubis13–110.1418%29 Oct →
inferno13–90.0719%29 Oct →
ancient13–80.0420%28 Oct →
dust213–100.0224%28 Oct →
mirage13–80.0419%28 Oct →
mirage16–130.0217%27 Oct →
cache13–11-0.0214%27 Oct →
dust215–150.0925%27 Oct →
anubis4–50.0919%27 Oct →
mirage13–11-0.0320%26 Oct →
ancient13–110.0314%26 Oct →
dust213–20.0523%26 Oct →
inferno13–80.0416%26 Oct →
ancient13–5-0.0418%26 Oct →
nuke15–15-0.0127%25 Oct →
mirage13–50.0813%25 Oct →
dust213–8-0.0427%25 Oct →
dust29–13-0.0415%25 Oct →
dust213–80.0127%25 Oct →
ancient8–130.0320%25 Oct →
cache13–50.0721%25 Oct →
dust210–13-0.0324%25 Oct →
mirage16–120.0019%25 Oct →
mirage8–130.0115%25 Oct →
inferno10–13-0.0624%24 Oct →
anubis13–60.0425%24 Oct →
inferno8–13-0.0122%24 Oct →
mirage13–80.0313%24 Oct →
dust213–60.0622%24 Oct →
anubis13–90.0320%24 Oct →
dust213–80.0122%24 Oct →
inferno5–130.0522%23 Oct →
anubis9–130.0322%23 Oct →
anubis9–130.0220%23 Oct →
mirage9–13-0.0412%23 Oct →
anubis13–11-0.0115%23 Oct →
anubis9–13-0.0623%23 Oct →
anubis13–8-0.0119%22 Oct →
ancient13–6-0.0714%22 Oct →
dust215–150.0424%22 Oct →
ancient10–13-0.0122%22 Oct →
anubis13–70.1316%22 Oct →
mirage13–60.0139%21 Oct →
inferno14–16-0.0516%21 Oct →
dust213–50.0127%21 Oct →
ancient13–50.0526%21 Oct →
dust213–7-0.0216%21 Oct →
dust25–13-0.0514%20 Oct →
anubis8–130.0722%20 Oct →
anubis6–130.0424%20 Oct →
mirage13–110.0715%20 Oct →
ancient13–100.0213%20 Oct →
cache13–60.0219%20 Oct →
ancient13–90.0413%20 Oct →
dust213–50.0212%20 Oct →
dust213–11-0.0323%19 Oct →
dust213–80.0126%19 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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