i am groot

i am groot — CS2 Stats

US76561198088794236[U:1:128528508]Steam profile ↗✓ No bans

234Tracked matches59%Win rate2023Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating9,306Light Blue band · top ~58.2% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (13 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.

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. 39 days played since 10 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,306 +3,556 25 Jul7 Sept · 10 days played
5,7509,306peak 9,30625 Jul7 Sept
9,368Peak Premier in tracked matches
39Days played since 2026-07-10

Premier CS Rating

  • At peak — 9,306
  • +3,258 over 30 days · improving
  • Next: Blue band at 10,000 694 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGi am grootPREMIER9,306 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning56
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY53416Last 10053%Win rateWLLLWLWWWT

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +3.1pp headshot accuracy · −5ms 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

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 536ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 538ms

Last 20

  • 1082 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 541ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim8.0
Utility3.7
Positioning5.6
Opening Duels3.0

Strong CT-side openerLimited 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

iM

Plays most like iM 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

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 53% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms 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

Aim8.0
Positioning5.6
Utility3.7
Mechanics8.2
Opening Duels2.9
Win Impact8.1

Composite 5.8/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time560ms−19ms
first ⅓ avg 579ms → last ⅓ avg 560ms
Headshot accuracy14.8%−0.6%
first ⅓ avg 15.4% → last ⅓ avg 14.8%

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

0.25Best match rating · 9–1 · inferno, 29 Jul
35%Best headshot accuracy · 1–9 · inferno, 24 Jul
406msFastest reaction time · 8–13 · inferno, 29 Jul
13–0Biggest win · dust2, 19 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
32In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 67% over 15anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A27171063%0.02
mirageC2081240%0.01
infernoB1991047%0.03
nukeS1510567%0.01
anubisD72529%0.01
vertigo32167%0.04
ancient220100%0.06
poseidon21150%0.06
train2020%-0.00
office110100%0.01
cache1010%-0.07
shelter110100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
67%Win rate
0.24Avg K/D
ADR
13%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

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.

14.9%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.2%Spray accuracy
87.0%Counter-strafing
8.4°Preaim
559msReaction time
28.5%T opening success
53.4%CT opening success
0.57Enemies flashed / flash
3.3%Flash assists
6.93HE damage / grenade
3.77Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.924% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 3.7721 — below the 4 mark we flag

    Grenade Lineups
  3. 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 28.4865% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–40.0214%15 Sept
inferno3–70.0420%15 Sept
dust26–13-0.0519%12 Sept
mirage5–13-0.1215%11 Sept
ancient13–80.1217%10 Sept
dust29–130.0525%10 Sept
poseidon9–70.1111%10 Sept
nuke13–40.0314%8 Sept
dust213–5-0.0111%7 Sept
inferno15–150.0423%7 Sept
dust213–70.038%7 Sept
anubis12–120.057%6 Sept
office13–30.0113%3 Sept
dust28–13-0.0620%3 Sept
dust213–6-0.0019%3 Sept
mirage6–13-0.0718%28 Aug
cache7–13-0.077%28 Aug
inferno13–20.0218%26 Aug
nuke10–13-0.0514%23 Aug
inferno13–7-0.0215%23 Aug
train5–130.008%22 Aug
dust213–60.0013%22 Aug
dust213–40.0521%22 Aug
ancient13–7-0.006%19 Aug
nuke13–9-0.0517%19 Aug
dust213–00.026%19 Aug
dust213–11-0.0310%17 Aug
mirage6–13-0.0417%16 Aug
nuke13–90.0825%16 Aug
train7–13-0.0119%13 Aug
dust215–15-0.0113%12 Aug
nuke13–90.017%12 Aug
mirage8–13-0.0418%12 Aug
dust213–70.0215%11 Aug
mirage13–100.0217%10 Aug
inferno3–130.0415%10 Aug
mirage13–100.009%10 Aug
inferno13–100.046%10 Aug
nuke13–2-0.0313%9 Aug
dust213–10.0315%9 Aug
inferno13–10-0.0214%9 Aug
mirage13–60.0415%8 Aug
mirage12–120.0317%8 Aug
nuke9–130.0412%8 Aug
mirage13–10.1117%8 Aug
dust213–6-0.0118%5 Aug
inferno13–100.0717%5 Aug
mirage12–120.1017%4 Aug
inferno4–13-0.107%4 Aug
nuke4–13-0.0327%4 Aug
dust23–30.2124%31 Jul
vertigo13–30.1317%31 Jul
dust213–2-0.0013%31 Jul
dust213–2-0.0117%30 Jul
nuke13–70.0016%30 Jul
vertigo13–10.0910%30 Jul
dust213–40.1020%29 Jul
inferno8–13-0.0121%29 Jul
mirage10–13-0.0522%29 Jul
mirage13–40.149%29 Jul
inferno9–10.2513%29 Jul
dust28–13-0.0310%28 Jul
nuke8–130.038%26 Jul
poseidon3–90.0017%25 Jul
inferno1–9-0.080%25 Jul
vertigo4–13-0.0810%25 Jul
dust213–8-0.0118%25 Jul
inferno1–9-0.0235%24 Jul
anubis13–7-0.012%24 Jul
dust211–13-0.0117%24 Jul
mirage8–13-0.0318%23 Jul
inferno9–13-0.0320%23 Jul
mirage13–80.0421%23 Jul
nuke2–13-0.0317%23 Jul
mirage13–50.074%23 Jul
inferno13–30.1517%23 Jul
dust27–130.0222%23 Jul
dust27–130.0517%23 Jul
anubis6–130.0316%23 Jul
anubis4–13-0.0314%22 Jul
nuke13–50.0519%16 Jul
inferno12–120.0414%15 Jul
anubis6–13-0.027%15 Jul
mirage8–13-0.0115%15 Jul
mirage13–10-0.0018%14 Jul
mirage8–13-0.0217%14 Jul
inferno13–70.0413%14 Jul
nuke13–40.0724%13 Jul
dust213–60.0515%13 Jul
mirage1–7-0.0312%13 Jul
dust212–16-0.0316%13 Jul
anubis8–130.0211%13 Jul
anubis13–60.039%13 Jul
mirage7–130.0618%12 Jul
nuke13–11-0.018%12 Jul
nuke13–50.0013%11 Jul
shelter13–80.0114%11 Jul
dust213–80.1014%10 Jul
dust213–70.0411%10 Jul
inferno7–130.1021%10 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →