Gronkowski

Gronkowski — CS2 Stats

76561198361801192[U:1:401535464]Steam profile ↗✓ No bans

828Tracked matches38%Win rate2021Tracked since
1,183Hours in CS7Hrs last 2 wks
CSDB Rating6.2 SolidAll-Rounder
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,226 → 1,226
+14Tracked matches · now 828
−6.9ppWin rate · 44.8% → 37.9%

Rating over time

Premier CS Rating: 20,101 +380 5 Jun – 31 Aug · 4 days played
19,72120,101peak 20,1015 Jun31 Aug
Faceit ELO: 1,226 +0 31 Aug – 19 Sept · 2 observations
1,2261,226peak 1,22631 Aug19 Sept
20,101Peak Premier in tracked matches
1,226Highest Faceit ELO seen on CSDB
47Days played since 2026-05-08

Faceit ELO

  • At peak — 1,226
  • Next: Level 7 at 1,351 — 125 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-31
  • Level 5 first seen 2026-08-31

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches38——
Win rate42%——
K/D1.15——
Headshot %58%——

Measured 3 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGGronkowskiPEAK ELO1,226csdb.gg/stats

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Performance scores

Aim87
Positioning67
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateWWLWWLLWLL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +7.6pp headshot accuracy · +106ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 31%
  • Avg reaction 686ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 31%
  • Avg reaction 702ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 649ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.7
Utility6.3
Positioning6.7
Opening Duels4.8
Clutch6.4

Sharp aimer

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 96% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 76% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 76% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 639ms 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

Aim8.7
Positioning6.7
Utility6.3
Mechanics8.1
Opening Duels7.0
Win Impact1.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time641ms−23ms
first ⅓ avg 664ms → last ⅓ avg 641ms
Headshot accuracy25.7%−0.9%
first ⅓ avg 26.6% → last ⅓ avg 25.7%

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

0.18Best match rating · 13–3 · ancient, 5 Jun →
63%Best headshot accuracy · 1–13 · cache, 6 Jul →
438msFastest reaction time · 4–13 · ancient, 14 Jun →
13–2Biggest win · nuke, 8 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
1–5In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 63% over 19trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%0.01
cacheA1912–763%0.02
nukeB168–850%0.04
ancientB137–654%0.01
infernoD72–529%0.05
dust2D62–433%0.00
anubisC52–340%0.02
trainD51–420%0.01
shelter—11–0100%0.06
overpass—10–10%0.05
vertigo—10–10%-0.00
warden—11–0100%-0.07

Across the last 100 tracked matches.

Lifetime stats

30,194Lifetime kills
1.10K/D · Top 50% of tracked players
1,560Matches
44.4%Match win rate
54.6%Headshot % · Top 25% of tracked players
11.2%Shot accuracy
4,235MVPs
665Hours (in match)
1,491Bombs planted
464Bombs defused

Most-used weapons

Lifetime map wins

2,159dust2
1,681nuke
1,286inferno
650train
482vertigo
179cbble
58lake
42office

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

Faceit stats

Combat

111Matches
51%Win rate
0.95Avg K/D
74.4ADR
51%Headshot %

Clutches & streaks

52%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3560%0.8814.2
Anubis1765%1.0615.8
Ancient1060%1.0515.9
Dust2825%0.9416.0
Inferno850%1.2215.3
Nuke425%0.9614.3
Overpass2100%0.9615.0
Vertigo1100%0.9519.0

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.

25.0%Headshot accuracy
39.7%Accuracy (enemy spotted)
44.8%Spray accuracy
86.5%Counter-strafing
9.9°Preaim
639msReaction time
76.3%T opening success
45.7%CT opening success
0.60Enemies flashed / flash
6.2%Flash assists
10.54HE damage / grenade
12.06Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0632%7 Oct →
mirage12–20.0547%7 Oct →
mirage7–13-0.0216%7 Oct →
nuke13–40.0738%7 Oct →
cache13–70.0222%3 Oct →
mirage8–130.0130%3 Oct →
nuke3–13-0.0239%1 Oct →
cache13–7-0.0331%1 Oct →
nuke8–13-0.0523%1 Oct →
mirage7–13-0.0130%30 Sept →
nuke9–13-0.0326%30 Sept →
ancient11–13-0.0614%24 Sept →
mirage13–9-0.0124%24 Sept →
mirage8–130.0221%23 Sept →
anubis13–100.0721%18 Sept →
cache13–90.1530%16 Sept →
anubis9–130.0921%16 Sept →
mirage11–130.0434%16 Sept →
mirage4–130.0027%14 Sept →
dust24–130.0412%10 Sept →
inferno8–13-0.0022%10 Sept →
inferno7–130.0435%9 Sept →
train10–130.0417%9 Sept →
inferno13–70.0515%7 Sept →
mirage12–120.0235%6 Sept →
nuke2–130.0329%6 Sept →
ancient13–90.0317%6 Sept →
nuke6–130.0222%6 Sept →
mirage13–90.0121%2 Sept →
anubis11–13-0.0415%2 Sept →
nuke10–130.0128%29 Aug →
mirage13–110.0426%29 Aug →
mirage13–80.0327%27 Aug →
dust211–130.0022%27 Aug →
cache13–100.1021%14 Aug →
ancient6–13-0.0615%14 Aug →
cache13–8-0.0230%13 Aug →
train13–80.0025%13 Aug →
mirage7–130.0521%13 Aug →
nuke13–2-0.0123%8 Aug →
inferno13–90.0424%8 Aug →
dust26–130.0129%8 Aug →
cache13–5-0.0018%3 Aug →
ancient7–13-0.0121%3 Aug →
nuke13–20.1021%1 Aug →
cache13–3-0.0029%1 Aug →
mirage12–120.0431%1 Aug →
dust213–20.1038%1 Aug →
ancient13–30.0213%26 Jul →
cache13–100.0219%16 Jul →
train12–120.0721%16 Jul →
cache12–12-0.0220%15 Jul →
nuke13–70.0320%15 Jul →
ancient13–100.0524%13 Jul →
cache13–3-0.0212%11 Jul →
nuke12–120.0031%11 Jul →
nuke4–00.1845%11 Jul →
anubis2–13-0.0333%11 Jul →
shelter13–100.0623%11 Jul →
cache1–130.0263%6 Jul →
nuke5–130.1035%6 Jul →
inferno2–130.1624%6 Jul →
cache13–80.1115%2 Jul →
inferno5–130.0436%2 Jul →
ancient13–60.0323%2 Jul →
train0–13-0.0613%1 Jul →
cache4–13-0.0045%1 Jul →
mirage6–130.0724%1 Jul →
cache1–13-0.0412%30 Jun →
mirage6–13-0.0319%30 Jun →
ancient13–10-0.0023%26 Jun →
ancient13–8-0.0527%19 Jun →
train11–130.0144%18 Jun →
ancient4–130.0322%14 Jun →
mirage6–13-0.0816%14 Jun →
dust213–4-0.0931%13 Jun →
ancient13–30.1818%5 Jun →
overpass7–130.0517%5 Jun →
mirage12–12-0.0327%4 Jun →
vertigo5–13-0.0021%4 Jun →
mirage8–130.0136%4 Jun →
nuke13–90.0735%3 Jun →
cache12–120.0336%3 Jun →
cache6–130.0437%2 Jun →
ancient8–13-0.0131%2 Jun →
ancient6–13-0.0233%1 Jun →
inferno12–120.0132%31 May →
anubis13–80.0426%31 May →
warden13–10-0.0724%31 May →
cache10–13-0.0227%27 May →
mirage13–50.1723%27 May →
cache13–70.0324%21 May →
cache13–7-0.0060%20 May →
mirage13–8-0.0120%20 May →
mirage13–9-0.0221%18 May →
nuke13–40.0420%18 May →
mirage13–7-0.0128%14 May →
nuke13–40.0630%14 May →
dust28–13-0.0621%14 May →
mirage4–13-0.0212%8 May →

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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