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Groetis — CS2 Stats

76561198019242372[U:1:58976644]

2,081Tracked matches37%Win rate2020Tracked since
CSDB Rating2.4 LearningClutch Specialist
Premier CS Rating11,256Blue band · top ~48.2% of ranked players (population est.)
CSDB Leaderboard#12727 of 17693 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGGroetisPREMIER11,256 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning29
Utility17

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLWWLLLLLW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim3.3
Aggression1.9
Utility1.7
Positioning2.9
Opening Duels0.0
Clutch9.4

Limited utility dependenceReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 63% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 637ms 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

Aim3.3
Positioning2.9
Utility1.7
Mechanics4.5
Opening Duels0.0
Win Impact0.6

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time640ms−20ms
first ⅓ avg 660ms → last ⅓ avg 640ms
Headshot accuracy17.0%+2.3%
first ⅓ avg 14.6% → last ⅓ avg 17.0%

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.

Highlights

0.06Best rating — train 13–6
13–2Biggest win — ancient
3Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 56% over 16mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
nukeC166–1038%-0.04
infernoC167–944%-0.04
ancientA169–756%-0.02
cacheD134–931%-0.05
mirageD112–918%-0.04
anubisC104–640%-0.04
dust2C94–544%-0.05
train—43–175%0.00
overpass—21–150%-0.01
vertigo—11–0100%-0.06
cbble_d—11–0100%0.04
tuscan_d—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches
20%Win rate
0.81Avg K/D
61.1ADR
31%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.7310.7
Cache10%0.294.0
Mirage10%0.9018.0

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
28.3%Accuracy (enemy spotted)
32.6%Spray accuracy
70.5%Counter-strafing
12.9°Preaim
637msReaction time
25.7%T opening success
24.7%CT opening success
0.14Enemies flashed / flash
3.2%Flash assists
8.90HE damage / grenade
0.62Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9452° — above the 12° mark we flag

    Aim Training →
  2. 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 0.1351 — below the 0.5 mark we flag

    Grenade Lineups →
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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache0–13-0.0514%27 Aug →
nuke8–130.0218%27 Aug →
inferno13–8-0.0615%26 Aug →
nuke13–10-0.0019%26 Aug →
train5–13-0.0713%26 Aug →
mirage13–16-0.058%26 Aug →
inferno3–13-0.0210%26 Aug →
nuke9–130.0117%26 Aug →
anubis13–16-0.0415%23 Aug →
train13–40.039%23 Aug →
cache8–13-0.055%23 Aug →
inferno14–16-0.0718%22 Aug →
ancient11–13-0.0217%22 Aug →
nuke13–9-0.0625%21 Aug →
vertigo19–17-0.0614%21 Aug →
dust29–13-0.0618%21 Aug →
mirage13–8-0.0426%21 Aug →
inferno13–8-0.0117%20 Aug →
mirage11–130.0020%20 Aug →
anubis13–11-0.0723%14 Aug →
ancient8–13-0.0421%14 Aug →
ancient13–8-0.0211%12 Aug →
nuke1–13-0.0919%12 Aug →
inferno13–6-0.0017%12 Aug →
ancient10–13-0.0320%6 Aug →
cache10–13-0.1021%6 Aug →
cache10–13-0.0416%6 Aug →
mirage5–13-0.0422%6 Aug →
inferno8–8-0.1312%5 Aug →
dust216–13-0.0813%1 Aug →
dust210–13-0.0832%31 Jul →
mirage14–16-0.0619%28 Jul →
inferno15–15-0.0518%27 Jul →
nuke13–11-0.0933%21 Jul →
inferno13–3-0.0121%21 Jul →
cache3–13-0.0323%21 Jul →
ancient13–90.0021%20 Jul →
anubis7–13-0.0419%20 Jul →
inferno11–13-0.0019%20 Jul →
mirage10–13-0.0715%19 Jul →
cache16–12-0.049%19 Jul →
anubis8–13-0.067%18 Jul →
ancient13–9-0.0313%18 Jul →
nuke7–13-0.0923%18 Jul →
inferno13–40.0325%18 Jul →
cache3–13-0.094%18 Jul →
ancient13–9-0.0410%16 Jul →
dust26–13-0.107%16 Jul →
cache7–13-0.0616%14 Jul →
anubis13–9-0.0317%12 Jul →
ancient13–5-0.0013%12 Jul →
nuke9–13-0.0612%12 Jul →
overpass13–60.0014%12 Jul →
ancient13–20.0416%12 Jul →
dust28–130.0118%11 Jul →
nuke7–13-0.0222%11 Jul →
mirage9–130.0213%11 Jul →
cache13–11-0.0914%11 Jul →
cache0–13-0.1117%11 Jul →
mirage6–13-0.0718%11 Jul →
ancient11–13-0.0418%9 Jul →
inferno13–9-0.049%9 Jul →
nuke13–3-0.0632%9 Jul →
cache13–9-0.047%8 Jul →
anubis7–130.0125%8 Jul →
inferno8–13-0.0514%8 Jul →
nuke8–13-0.0023%7 Jul →
inferno1–13-0.1215%7 Jul →
ancient13–4-0.0030%7 Jul →
dust213–5-0.0126%6 Jul →
anubis13–7-0.070%6 Jul →
nuke10–13-0.0830%6 Jul →
inferno5–13-0.0322%5 Jul →
ancient3–13-0.0421%5 Jul →
nuke13–100.0121%5 Jul →
anubis9–13-0.0416%5 Jul →
mirage6–13-0.0313%4 Jul →
overpass7–13-0.0325%4 Jul →
inferno11–13-0.0617%3 Jul →
train13–5-0.014%3 Jul →
mirage6–13-0.038%3 Jul →
ancient13–110.0317%3 Jul →
ancient8–13-0.019%3 Jul →
anubis13–8-0.058%3 Jul →
nuke3–13-0.119%3 Jul →
nuke13–8-0.0416%2 Jul →
dust213–5-0.0313%2 Jul →
cbble_d13–40.049%2 Jul →
tuscan_d4–13-0.0611%2 Jul →
dust22–13-0.080%2 Jul →
cache16–130.0418%1 Jul →
cache2–13-0.0515%1 Jul →
inferno13–60.0217%1 Jul →
dust213–10-0.0424%1 Jul →
train13–60.0612%1 Jul →
nuke11–13-0.055%30 Jun →
ancient13–8-0.0913%30 Jun →
anubis16–19-0.0310%30 Jun →
ancient9–13-0.0610%29 Jun →
mirage16–12-0.0519%28 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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