-Hawk

-Hawk — CS2 Stats

76561197975709315[U:1:15443587]Steam profile ↗✓ No bans

4,054Tracked matches52%Win rate2020Tracked since
CSDB Rating6.5 SolidSupport
FaceitLevel 10 · 3,197 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,197 → 3,197
+60Tracked matches · now 4,054
−6.9ppWin rate · 58.6% → 51.7%

Rating over time

Premier CS Rating: 27,753 +2,647 24 Jul – 26 Dec · 17 days played
25,10629,219peak 29,21924 Jul26 Dec
Faceit ELO: 3,197 +0 29 Aug – 10 Sept · 5 observations
3,1973,197peak 3,19729 Aug10 Sept
29,442Peak Premier in tracked matches
3,197Highest Faceit ELO seen on CSDB
58Days played since 2025-07-22

Faceit ELO

  • At peak — 3,197
  • Next: 3,500 ELO at 3,500 — 303 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-29
  • 2,500 ELO first seen 2026-08-29

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.

Share this profile

CSDB.GG-HawkFACEITLevel 10 · 3,197 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,197csdb.gg/stats

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Performance scores

Aim71
Positioning54
Utility73

0–100 skill scores via Leetify.

Recent form

COLD61–38–1Last 10061%Win rateLLLWWWLLLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −1.3pp headshot accuracy · −91ms 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 -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 491ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 510ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 556ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim7.1
Utility7.3
Positioning5.4
Opening Duels5.6
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

device

Plays most like device 77% 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

Reaction time. 570ms 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

Aim7.1
Positioning5.4
Utility7.3
Mechanics5.6
Opening Duels4.8
Win Impact5.6

Composite 6.5/10 (Solid), 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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time569ms−44ms
first ⅓ avg 613ms → last ⅓ avg 569ms
Headshot accuracy22.4%+0.2%
first ⅓ avg 22.1% → last ⅓ avg 22.4%

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 · 13–11 · dust2, 23 Aug →
53%Best headshot accuracy · 13–2 · train, 2 Oct →
328msFastest reaction time · 9–13 · dust2, 24 Oct →
13–2Biggest win · train, 2 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
13–11In matches decided by ≤2 rounds
21Overtime games

Map breakdown

trainBest map · 80% over 10infernoWeakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%0.04
overpassS2317–674%0.04
infernoB199–1047%0.04
mirageA106–460%0.04
trainS108–280%0.02
nuke—44–0100%0.04
cache—32–167%-0.04
ancient—30–30%-0.01
anubis—21–150%0.04
sanctum—11–0100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,997Matches
55%Win rate
1.21Avg K/D
79.0ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
20Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage48048%1.1315.7
Inferno45659%1.0815.0
Anubis41051%1.1016.1
Dust233352%1.1716.2
Overpass30460%1.2917.4
Train20955%1.1716.0
Nuke16049%1.1115.4
Ancient7351%1.0114.6

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.

22.0%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.5%Spray accuracy
75.1%Counter-strafing
11.7°Preaim
570msReaction time
43.7%T opening success
55.1%CT opening success
0.61Enemies flashed / flash
14.5%Flash assists
9.59HE damage / grenade
15.98Flashes / 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.

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0522%24 Oct →
mirage14–160.0217%7 Oct →
cache9–13-0.0722%2 Sept →
mirage19–170.0323%27 Aug →
cache13–11-0.0327%27 Aug →
cache13–8-0.0119%24 Aug →
mirage14–16-0.0413%19 Aug →
inferno5–13-0.0026%3 May →
inferno13–160.0723%4 Apr →
inferno10–130.0130%1 Apr →
mirage13–60.0122%14 Mar →
nuke16–120.0129%10 Mar →
sanctum9–30.1024%10 Mar →
inferno9–50.1231%10 Mar →
dust26–13-0.0528%9 Mar →
anubis10–13-0.0410%9 Mar →
ancient13–16-0.0021%23 Feb →
dust214–160.0320%22 Feb →
dust213–70.0626%15 Feb →
inferno14–160.0924%14 Feb →
mirage13–70.029%7 Feb →
dust213–40.0338%7 Feb →
dust213–40.0121%7 Feb →
mirage13–40.0514%5 Feb →
mirage11–130.0231%1 Feb →
dust213–70.0516%30 Jan →
anubis13–30.1128%30 Jan →
dust215–150.0217%29 Jan →
train13–40.0519%15 Jan →
inferno10–130.0328%9 Jan →
inferno16–140.0120%7 Jan →
overpass13–40.0626%3 Jan →
train13–110.0116%3 Jan →
overpass13–9-0.0411%3 Jan →
overpass13–50.0322%3 Jan →
overpass13–60.0612%26 Dec →
nuke13–40.0525%26 Dec →
inferno13–70.0119%26 Dec →
ancient4–130.0116%25 Dec →
dust23–130.0217%25 Dec →
dust26–130.0822%25 Dec →
overpass8–130.0412%19 Dec →
nuke13–60.0725%6 Dec →
mirage8–130.0513%2 Dec →
train14–160.0135%23 Nov →
overpass5–130.0319%5 Nov →
overpass13–90.037%2 Nov →
inferno13–60.0823%1 Nov →
train13–60.0016%28 Oct →
train13–20.0553%2 Oct →
dust216–130.0317%23 Sept →
overpass11–13-0.0733%12 Sept →
nuke13–60.0217%29 Aug →
inferno6–130.0212%27 Aug →
ancient1–8-0.0310%27 Aug →
dust210–13-0.0420%26 Aug →
overpass13–80.0819%26 Aug →
dust28–130.0424%26 Aug →
overpass6–13-0.0213%25 Aug →
dust28–130.0328%25 Aug →
dust213–30.0129%25 Aug →
dust213–110.1725%23 Aug →
inferno14–16-0.0316%22 Aug →
train19–15-0.0419%22 Aug →
overpass13–11-0.006%21 Aug →
train19–170.0134%17 Aug →
dust213–40.0524%17 Aug →
overpass13–70.1020%17 Aug →
overpass11–13-0.0318%15 Aug →
inferno13–80.0727%15 Aug →
overpass16–140.0319%13 Aug →
inferno16–120.0831%13 Aug →
dust213–110.0316%13 Aug →
overpass13–110.0921%13 Aug →
dust211–130.0422%12 Aug →
inferno11–130.0418%11 Aug →
train16–140.0930%11 Aug →
inferno13–80.0023%11 Aug →
train16–140.0120%8 Aug →
dust213–90.0625%8 Aug →
dust213–90.1516%6 Aug →
overpass13–70.0314%6 Aug →
inferno10–13-0.0120%6 Aug →
overpass16–130.0321%4 Aug →
inferno10–13-0.0025%28 Jul →
overpass13–60.0618%25 Jul →
dust22–130.0326%25 Jul →
inferno13–80.1331%25 Jul →
inferno13–110.0921%24 Jul →
mirage13–20.1131%24 Jul →
dust213–7-0.0118%24 Jul →
dust216–130.0924%24 Jul →
train9–130.0226%24 Jul →
overpass10–130.0724%23 Jul →
overpass13–100.1416%23 Jul →
mirage13–60.1115%23 Jul →
overpass13–90.0019%22 Jul →
overpass13–30.0224%22 Jul →
dust23–13-0.0325%22 Jul →
overpass13–30.0926%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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