Mihawkz

Mihawkz — CS2 Stats

DK76561197961931913[U:1:1666185]Steam profile ↗✓ No bans

609Tracked matches52%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,700 +5,234 4 Apr – 11 Jan · 11 days played
9,46614,999peak 14,9994 Apr11 Jan
14,999Peak Premier in tracked matches
42Days played since 2024-03-07

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

Performance scores

Aim58
Positioning50
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWLWLLWWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.9pp headshot accuracy · +2ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 589ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 683ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 682ms

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 (+1.1 against its own average).

Aim5.8
Utility3.7
Positioning5.0
Opening Duels3.8
Clutch3.2

Limited 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.

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

donk

Plays most like donk 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 691ms 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

Aim5.8
Positioning5.0
Utility3.7
Mechanics7.3
Opening Duels2.4
Win Impact5.6

Composite 5.2/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time682ms+38ms
first ⅓ avg 643ms → last ⅓ avg 682ms
Headshot accuracy16.7%−0.7%
first ⅓ avg 17.4% → last ⅓ avg 16.7%

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

0.17Best match rating · 9–1 · nuke, 7 Oct →
32%Best headshot accuracy · 3–13 · thera, 25 Oct →
406msFastest reaction time · 13–1 · vertigo, 4 Apr →
13–1Biggest win · vertigo, 4 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 65% over 23mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeS2315–865%0.01
infernoB178–947%-0.02
overpassC135–838%0.00
dust2B126–650%-0.02
ancientA106–460%-0.01
mirageD82–625%-0.03
officeD62–433%0.02
vertigoC52–340%0.00
train—42–250%0.01
thera—10–10%-0.00
italy—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

932Matches
49%Win rate
1.22Avg K/D
70.9ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3944%1.0816.9
Nuke3765%1.1916.5
Ancient2737%0.8214.6
Dust21638%1.4115.7
Anubis1030%0.7710.5
Overpass956%1.2216.4
Vertigo850%1.1115.0
Mirage425%0.7611.0

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.

17.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
39.3%Spray accuracy
83.0%Counter-strafing
11.0°Preaim
691msReaction time
29.5%T opening success
49.6%CT opening success
0.58Enemies flashed / flash
4.5%Flash assists
9.35HE damage / grenade
3.54Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.544 — below the 4 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 29.4956% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–16-0.0222%26 Jul →
ancient16–14-0.0015%24 May →
inferno4–13-0.057%11 Apr →
office7–10.0519%27 Jan →
overpass4–9-0.0711%23 Jan →
overpass4–13-0.118%11 Jan →
inferno13–4-0.0326%10 Jan →
nuke13–50.0313%10 Jan →
dust24–13-0.0421%10 Jan →
overpass5–130.0120%10 Jan →
dust213–70.0112%10 Jan →
ancient5–13-0.0512%10 Jan →
inferno13–50.0516%10 Jan →
dust216–13-0.0113%10 Jan →
nuke13–50.0426%10 Jan →
inferno13–30.0212%10 Jan →
ancient10–13-0.0524%10 Jan →
nuke11–13-0.0815%10 Jan →
vertigo3–9-0.1012%10 Jan →
nuke13–80.0410%10 Jan →
nuke14–160.0312%9 Jan →
mirage9–13-0.0114%9 Jan →
dust215–15-0.0018%9 Jan →
train13–50.0023%9 Jan →
inferno11–130.0822%9 Jan →
inferno6–13-0.0414%9 Jan →
nuke13–70.0222%9 Jan →
nuke13–8-0.0025%9 Jan →
mirage4–13-0.0515%10 Dec →
inferno13–7-0.0317%10 Dec →
mirage13–110.0217%9 Dec →
office9–130.0920%29 Nov →
office5–130.0316%29 Nov →
ancient13–50.0720%28 Nov →
nuke8–13-0.0511%28 Nov →
mirage3–13-0.073%28 Nov →
nuke13–90.0214%25 Nov →
mirage9–13-0.0117%25 Nov →
overpass13–20.048%25 Nov →
dust212–16-0.0115%25 Nov →
ancient4–13-0.0731%25 Nov →
overpass13–30.0323%21 Nov →
overpass11–130.0124%21 Nov →
dust213–9-0.0929%11 Nov →
inferno9–13-0.0417%11 Nov →
ancient13–6-0.0011%11 Nov →
inferno10–13-0.0413%11 Nov →
inferno1–13-0.067%6 Nov →
train9–130.0013%5 Nov →
train13–70.0621%5 Nov →
train4–13-0.0417%5 Nov →
nuke7–130.0722%5 Nov →
dust28–13-0.069%5 Nov →
overpass11–13-0.0211%4 Nov →
mirage4–13-0.0317%31 Oct →
mirage5–13-0.087%31 Oct →
mirage16–12-0.0211%31 Oct →
nuke13–4-0.0722%31 Oct →
nuke5–13-0.0617%27 Oct →
nuke13–40.017%27 Oct →
inferno1–13-0.098%27 Oct →
dust213–80.029%27 Oct →
dust23–130.0011%27 Oct →
overpass7–2-0.0715%25 Oct →
inferno13–11-0.0113%8 Jul →
nuke7–130.0117%11 Jan →
overpass10–130.0126%29 Oct →
nuke13–50.1423%29 Oct →
office9–13-0.0511%26 Oct →
dust26–13-0.0418%26 Oct →
thera3–13-0.0032%25 Oct →
italy13–6-0.0115%25 Oct →
office13–80.0215%25 Oct →
nuke9–10.1718%7 Oct →
nuke13–60.0310%7 Oct →
overpass7–13-0.0018%6 Oct →
nuke13–60.1124%6 Oct →
ancient4–13-0.0216%5 Oct →
nuke13–10-0.0918%5 Oct →
office10–13-0.0617%4 Oct →
vertigo12–120.0218%3 Oct →
ancient13–9-0.0010%3 Oct →
dust213–60.0518%17 Sept →
inferno13–110.0212%5 Sept →
vertigo13–40.0515%1 Sept →
dust216–12-0.0515%1 Sept →
nuke9–13-0.0316%15 Aug →
nuke13–7-0.0421%5 May →
inferno5–13-0.0513%8 Apr →
inferno11–13-0.0315%7 Apr →
inferno13–9-0.0316%5 Apr →
inferno8–4-0.0717%5 Apr →
overpass11–13-0.0029%5 Apr →
nuke13–7-0.0725%5 Apr →
overpass13–50.1218%4 Apr →
ancient13–8-0.0315%4 Apr →
vertigo13–10.0710%4 Apr →
overpass13–40.1123%8 Mar →
vertigo14–16-0.0414%8 Mar →
ancient13–60.0218%7 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 →

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