hawky

hawky — CS2 Stats

DE76561199206673931[U:1:1246408203]Steam profile ↗✓ No bans

1,922Tracked matches57%Win rate2021Tracked since
4,820Hours in CS144Hrs last 2 wks
CSDB Rating7.2 StrongOpening Duellist
Premier CS Rating30,109Top 1% of 215,248 CSDB-tracked playersGold band · top ~0.6% of ranked players (population est.)
CSDB Leaderboard#674 of 261493 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 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: 30,109 +4,051 28 Aug – 7 Nov · 9 days played
26,05830,109peak 30,10928 Aug7 Nov
30,109Peak Premier in tracked matches
20Days played since 2026-08-28

Premier CS Rating

  • At peak — 30,109
  • Reached: Gold band · Red band · Pink band · Purple band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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=30,986), 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 rate68.5%50.9%
Shot accuracy7.5%13.7%
Kill/death ratio1.611.09
Match win rate51.3%48.4%

Share this profile

CSDB.GGhawkyFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER30,109 · Gold bandcsdb.gg/stats

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Performance scores

Aim86
Positioning67
Utility45

0–100 skill scores via Leetify.

Recent form

HOT54–40–6Last 10054%Win rateWWWLLWWWWT

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · −0.8pp headshot accuracy · −91ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 516ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 21%
  • Avg reaction 502ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 548ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.6
Utility4.5
Positioning6.7
Opening Duels7.3
Clutch3.4

Sharp aimerLimited 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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning6.7
Utility4.5
Mechanics6.5
Opening Duels5.5
Win Impact7.4

Composite 7.2/10 (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 time539ms+8ms
first ⅓ avg 531ms → last ⅓ avg 539ms
Headshot accuracy21.1%−2.3%
first ⅓ avg 23.5% → last ⅓ avg 21.1%

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

0.22Best match rating · 13–6 · anubis, 18 Oct →
53%Best headshot accuracy · 4–3 · cache, 30 Oct →
375msFastest reaction time · 12–12 · ancient, 23 Oct →
13–1Biggest win · ancient, 6 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
7–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 71% over 7ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%0.01
cacheA2313–1057%0.01
mirageB1910–953%0.01
ancientC135–838%0.01
infernoS75–271%0.05
anubisA74–357%0.07
nuke—31–233%0.02
italy—11–0100%0.01
poseidon—11–0100%0.16
debris—11–0100%0.06
train—11–0100%0.01
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,434Lifetime kills
1.61K/D · Top 5% of Level 10 players
3,194Matches
51.3%Match win rate · Top 25% of Level 10 players
68.5%Headshot % · Top 5% of Level 10 players
7.5%Shot accuracy
9,578MVPs
2,619Hours (in match)
2,608Bombs planted
754Bombs defused

Most-used weapons

AK-4770,544
AWP6,503
MP91,326
MAC-101,320
P250767

Lifetime map wins

6,310dust2
3,779inferno
1,209vertigo
929train
724cbble
719nuke
253office
109lake

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

Faceit stats

Combat

163Matches
69%Win rate
1.41Avg K/D
85.5ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust23967%1.3217.6
Ancient2976%1.7819.9
Mirage2770%1.4018.0
Anubis1250%1.0415.9
Cache5100%1.8720.8
Inferno475%1.3618.0
Train1100%1.9019.0
Nuke10%0.538.0

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.

21.7%Headshot accuracy
39.3%Accuracy (enemy spotted)
42.6%Spray accuracy
79.5%Counter-strafing
9.2°Preaim
547msReaction time
43.4%T opening success
60.4%CT opening success
0.46Enemies flashed / flash
7.8%Flash assists
9.21HE damage / grenade
3.90Flashes / 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 0.4586 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0230%10 Nov →
mirage13–100.1014%9 Nov →
italy13–100.0120%8 Nov →
dust25–130.0122%8 Nov →
dust211–130.1027%7 Nov →
ancient13–40.1118%7 Nov →
cache13–20.1421%7 Nov →
poseidon9–20.1621%7 Nov →
debris9–70.0616%7 Nov →
dust212–12-0.0323%7 Nov →
inferno16–130.0424%7 Nov →
inferno13–2-0.0622%7 Nov →
mirage13–30.1218%7 Nov →
cache11–13-0.0420%7 Nov →
nuke13–50.0320%6 Nov →
ancient13–10.0532%6 Nov →
cache13–3-0.0325%6 Nov →
nuke1–13-0.0113%6 Nov →
cache13–40.0618%6 Nov →
mirage12–120.0227%6 Nov →
dust211–130.0432%6 Nov →
cache11–13-0.0131%6 Nov →
ancient2–13-0.0027%6 Nov →
mirage9–13-0.0320%6 Nov →
dust210–13-0.0619%6 Nov →
cache13–40.0820%5 Nov →
dust26–130.0118%5 Nov →
mirage13–110.0218%5 Nov →
ancient8–130.0114%5 Nov →
cache13–90.0117%5 Nov →
mirage13–7-0.0223%5 Nov →
mirage4–130.0011%5 Nov →
anubis13–7-0.0115%5 Nov →
dust213–70.0115%4 Nov →
ancient8–13-0.0215%3 Nov →
mirage12–12-0.0124%3 Nov →
inferno6–90.0926%3 Nov →
dust213–90.0225%3 Nov →
ancient13–9-0.0817%3 Nov →
cache13–110.0011%2 Nov →
inferno13–40.1023%2 Nov →
dust213–90.0317%2 Nov →
anubis10–130.1019%1 Nov →
ancient13–100.0115%1 Nov →
mirage11–00.1417%1 Nov →
cache13–80.0717%1 Nov →
dust28–130.0228%1 Nov →
dust21–13-0.0136%1 Nov →
ancient2–13-0.0421%1 Nov →
inferno10–130.0726%1 Nov →
train13–30.0118%31 Oct →
mirage13–6-0.0523%31 Oct →
anubis13–50.1617%31 Oct →
dust213–30.0024%31 Oct →
dust213–70.0122%31 Oct →
mirage3–130.0231%31 Oct →
mirage13–5-0.0513%31 Oct →
anubis13–30.0416%31 Oct →
dust213–110.0033%31 Oct →
cache4–30.0053%30 Oct →
dust25–13-0.0726%30 Oct →
cache11–130.0622%30 Oct →
mirage11–130.0121%30 Oct →
mirage11–13-0.0111%30 Oct →
cache12–120.0321%30 Oct →
dust213–60.0118%30 Oct →
dust211–13-0.0022%29 Oct →
ancient4–13-0.0617%26 Oct →
cache6–13-0.0914%26 Oct →
mirage4–13-0.0717%26 Oct →
dust212–12-0.0425%25 Oct →
mirage13–3-0.0238%25 Oct →
vertigo13–50.0412%25 Oct →
nuke11–130.0423%25 Oct →
cache13–50.0418%25 Oct →
mirage13–110.0425%25 Oct →
dust213–7-0.0552%25 Oct →
inferno13–90.0623%25 Oct →
cache5–13-0.0644%24 Oct →
ancient13–100.0915%24 Oct →
cache13–100.0136%24 Oct →
cache10–13-0.0119%24 Oct →
dust213–100.0120%24 Oct →
cache13–8-0.0325%23 Oct →
cache5–130.0421%23 Oct →
ancient12–120.0440%23 Oct →
ancient5–13-0.0118%22 Oct →
cache9–13-0.0223%22 Oct →
inferno13–40.0619%22 Oct →
anubis8–13-0.0618%21 Oct →
cache3–13-0.0528%21 Oct →
cache13–110.0222%18 Oct →
mirage8–130.0121%18 Oct →
anubis6–130.0215%18 Oct →
ancient4–130.0716%18 Oct →
anubis13–60.2220%18 Oct →
dust27–130.0228%18 Oct →
cache13–90.0022%18 Oct →
dust213–50.0813%18 Oct →
dust213–90.0726%18 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.