H@RM

H@RM — CS2 Stats

76561198892832747[U:1:932567019]Steam profile ↗✓ No bans

1,751Tracked matches57%Win rate2025Tracked since
CSDB Rating4.3 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+29Tracked matches · now 1,751
−9.5ppWin rate · 66.7% → 57.1%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 20 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 10,523 -1,167 23 May1 Jul · 8 days played
10,52313,888peak 13,88823 May1 Jul
14,262Peak Premier in tracked matches
40Days played since 2026-05-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Performance scores

Aim33
Positioning46
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY53425Last 10053%Win rateWLWWLLLWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +3.8pp headshot accuracy · −26ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 684ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 653ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 666ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim3.3
Utility6.5
Positioning4.6
Opening Duels1.7
Clutch4.4

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

NiKo

Plays most like NiKo 57% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.3
Positioning4.6
Utility6.5
Mechanics3.8
Opening Duels0.8
Win Impact7.4

Composite 4.3/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time659ms−24ms
first ⅓ avg 683ms → last ⅓ avg 659ms
Headshot accuracy18.0%−0.7%
first ⅓ avg 18.7% → last ⅓ avg 18.0%

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

0.26Best match rating · 8–13 · dust2, 21 Jun
40%Best headshot accuracy · 0–13 · dust2, 20 Jun
484msFastest reaction time · 13–4 · mirage, 16 Jul
13–0Biggest win · inferno, 17 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
78In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 60% over 15dust2Weakest map · 44% over 32
MapGradePlayedRecordWin rateAvg rating
dust2C32141844%-0.00
mirageA2112957%-0.01
infernoA159660%-0.01
cacheA95456%0.00
anubisB84450%-0.02
ancientA74357%0.01
nukeA74357%0.01
train110100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

488Matches
52%Win rate
0.91Avg K/D
71.5ADR
42%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust213654%0.8913.5
Inferno8760%0.9813.6
Mirage8241%0.8313.1
Ancient7952%0.9314.3
Anubis4356%0.7612.1
Cache3067%1.0814.2
Nuke1828%0.8513.1
Train933%0.8813.2

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.

17.9%Headshot accuracy
31.7%Accuracy (enemy spotted)
30.9%Spray accuracy
67.1%Counter-strafing
13.3°Preaim
653msReaction time
26.8%T opening success
36.2%CT opening success
0.67Enemies flashed / flash
7.0%Flash assists
7.03HE damage / grenade
10.52Flashes / 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 13.29° — above the 12° mark we flag

    Aim Training
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.

44% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–30.0713%14 Sept
dust21–9-0.0538%13 Sept
inferno13–9-0.0416%13 Sept
dust213–6-0.0019%9 Sept
inferno5–130.0516%9 Sept
mirage10–13-0.0318%9 Sept
dust25–130.0514%8 Sept
nuke13–40.0237%7 Sept
dust27–130.0210%7 Sept
inferno11–13-0.0016%7 Sept
cache13–90.059%26 Aug
dust28–130.0717%24 Aug
ancient13–60.0114%21 Aug
dust211–130.0121%19 Aug
mirage11–130.0422%19 Aug
nuke5–13-0.0322%18 Aug
cache13–80.0118%18 Aug
dust23–00.070%18 Aug
mirage13–2-0.0118%16 Aug
dust213–50.0720%12 Aug
nuke13–60.0227%12 Aug
mirage12–120.0315%11 Aug
dust24–130.0319%9 Aug
dust213–7-0.0026%9 Aug
mirage13–3-0.049%9 Aug
cache13–80.1420%7 Aug
mirage13–5-0.0322%29 Jul
anubis13–6-0.048%28 Jul
dust212–12-0.0219%28 Jul
mirage10–13-0.0014%20 Jul
ancient11–13-0.0416%20 Jul
inferno9–13-0.0129%20 Jul
cache3–13-0.0513%18 Jul
nuke13–2-0.0021%18 Jul
dust213–9-0.0217%18 Jul
mirage13–4-0.0119%16 Jul
mirage13–4-0.0012%16 Jul
anubis13–9-0.0119%16 Jul
inferno13–5-0.0220%11 Jul
cache12–120.0120%3 Jul
mirage2–13-0.0920%3 Jul
anubis9–13-0.067%1 Jul
nuke14–160.005%30 Jun
inferno10–13-0.0412%30 Jun
dust213–7-0.0327%28 Jun
inferno9–13-0.0035%28 Jun
dust27–13-0.0618%28 Jun
dust213–4-0.0216%24 Jun
anubis11–130.0411%24 Jun
dust24–13-0.0211%24 Jun
mirage3–13-0.0718%24 Jun
mirage8–13-0.0320%24 Jun
anubis13–8-0.039%23 Jun
cache3–13-0.0927%23 Jun
dust25–130.0038%23 Jun
ancient11–130.0517%23 Jun
dust26–130.0016%21 Jun
inferno13–11-0.0116%21 Jun
mirage13–80.0119%21 Jun
dust213–9-0.0119%21 Jun
inferno13–7-0.045%21 Jun
inferno13–50.0220%21 Jun
mirage13–50.0511%21 Jun
cache13–40.0512%21 Jun
dust28–130.2617%21 Jun
dust20–13-0.1440%20 Jun
train13–8-0.0113%20 Jun
inferno13–00.025%17 Jun
dust28–13-0.0313%16 Jun
anubis1–3-0.0433%16 Jun
dust29–13-0.0115%16 Jun
nuke13–110.0413%16 Jun
inferno12–12-0.0519%7 Jun
inferno13–30.0512%7 Jun
dust212–12-0.0325%31 May
mirage13–10.0924%31 May
mirage13–90.0115%31 May
dust210–13-0.0438%31 May
mirage9–13-0.0416%30 May
cache5–13-0.0710%30 May
inferno13–8-0.0018%30 May
dust213–60.0217%30 May
anubis3–6-0.0425%30 May
mirage13–60.0321%30 May
mirage13–90.0415%30 May
dust213–11-0.0215%30 May
nuke10–130.0425%30 May
mirage13–50.0224%28 May
dust213–11-0.0418%28 May
ancient13–4-0.0118%28 May
ancient13–90.0322%28 May
anubis13–80.0220%27 May
dust210–13-0.0519%26 May
dust213–110.0115%23 May
inferno13–9-0.0512%23 May
ancient8–13-0.0517%23 May
mirage2–13-0.1318%23 May
dust213–11-0.0128%23 May
dust213–11-0.0216%22 May
cache13–9-0.0115%20 May

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 →