gack

gack — CS2 Stats

76561198302558176[U:1:342292448]Steam profile ↗✓ No bans

314Tracked matches45%Win rate2020Tracked since
772Hours in CS
CSDB Rating3.3 Learning
Ladder ranks via Leetify

Performance scores

Aim36
Positioning36
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateLWWWLWLLTW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim3.6
Aggression4.1
Utility2.6
Positioning3.6
Opening Duels0.5
Clutch0.0

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 72% playstyle similarity

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

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

CT openings. Opening success drops from 40% on T to 24% on CT — first contacts on the defending side are being lost.

Reaction time. 635ms 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

Aim3.6
Positioning3.6
Utility2.6
Mechanics4.6
Opening Duels1.2
Win Impact3.3

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time656ms−62ms
first ⅓ avg 718ms → last ⅓ avg 656ms
Headshot accuracy19.4%+2.1%
first ⅓ avg 17.3% → last ⅓ avg 19.4%

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.

Highlights

0.11Best rating — train 8–3
131Biggest win — mirage
5Longest win streak
611In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 62% over 13infernoWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC1771041%-0.04
dust2C1771041%-0.01
mirageB168850%0.00
overpassA148657%0.00
nukeA138562%-0.01
ancientA106460%0.01
trainC73443%0.02
office32167%0.02
cache110100%0.03
vertigo1010%-0.06
anubis1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,482Lifetime kills
0.84K/D
1,691Matches
43.2%Match win rate
40.8%Headshot %
13.8%Shot accuracy · Top 50% of tracked players
4,318MVPs
772Hours (in match)
1,391Bombs planted
428Bombs defused

Most-used weapons

AK-476,227
AWP4,517
SSG 081,212
Knife935
P90689

Lifetime map wins

5,876dust2
963inferno
646nuke
389train
159office
106cbble
100italy
100aztec

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

Faceit stats

Combat

9Matches
44%Win rate
0.70Avg K/D
66.3ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%0.9110.0
Mirage1100%0.6710.0

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.

16.9%Headshot accuracy
28.6%Accuracy (enemy spotted)
28.9%Spray accuracy
70.7%Counter-strafing
11.3°Preaim
635msReaction time
39.8%T opening success
24.1%CT opening success
0.60Enemies flashed / flash
6.6%Flash assists
8.54HE damage / grenade
8.13Flashes / 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

    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 39.8001% — below the 40% mark we flag

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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage2–60.0020%7 Aug
inferno13–6-0.1111%25 Jul
office13–100.0314%21 Jul
office13–90.0336%21 Jul
inferno0–10-0.0513%17 Jul
cache13–90.0325%17 Jul
nuke1–6-0.0429%5 Mar
inferno11–13-0.044%30 Jul
inferno15–15-0.0221%30 Jul
ancient13–70.0413%30 Jul
dust210–130.0025%29 Jul
ancient0–3-0.0110%29 Jul
mirage6–130.0510%29 Jul
inferno13–9-0.038%29 Jul
dust213–110.0125%29 Jul
dust213–70.047%29 Jul
train3–13-0.059%29 Jul
overpass13–8-0.019%28 Jul
mirage13–90.0211%28 Jul
inferno8–13-0.0621%28 Jul
dust213–11-0.0432%28 Jul
mirage4–13-0.0518%28 Jul
mirage6–13-0.0217%28 Jul
dust25–130.0224%27 Jul
mirage14–160.0110%27 Jul
nuke11–13-0.0314%27 Jul
overpass13–8-0.0321%27 Jul
overpass13–10-0.0116%27 Jul
dust211–13-0.0315%27 Jul
inferno5–13-0.0519%27 Jul
mirage13–3-0.0213%26 Jul
train8–30.1120%26 Jul
inferno2–13-0.14100%26 Jul
inferno16–13-0.0224%26 Jul
overpass10–130.0420%26 Jul
ancient13–30.0829%26 Jul
overpass13–9-0.0110%26 Jul
train13–10-0.0119%25 Jul
mirage13–8-0.0219%25 Jul
inferno10–130.0019%25 Jul
dust213–10-0.043%24 Jul
nuke16–13-0.0215%24 Jul
dust29–130.0020%24 Jul
train13–8-0.069%24 Jul
overpass13–8-0.0314%24 Jul
ancient10–130.0414%24 Jul
dust26–13-0.0916%24 Jul
mirage11–13-0.0113%24 Jul
inferno8–13-0.0916%24 Jul
ancient13–110.0116%23 Jul
nuke13–60.0414%23 Jul
overpass13–110.0418%23 Jul
ancient13–50.0232%23 Jul
nuke13–40.0214%23 Jul
inferno12–16-0.0523%23 Jul
nuke13–9-0.0217%22 Jul
train9–130.0919%22 Jul
overpass13–9-0.0117%21 Jul
nuke12–16-0.0513%21 Jul
mirage13–10.0324%21 Jul
ancient7–13-0.0815%20 Jul
inferno13–10-0.0319%20 Jul
train2–13-0.0227%20 Jul
overpass11–130.0319%20 Jul
overpass14–16-0.0214%20 Jul
inferno7–13-0.065%20 Jul
mirage11–130.0128%20 Jul
dust211–130.0023%20 Jul
train10–130.0916%20 Jul
overpass5–13-0.0121%20 Jul
nuke13–40.0119%20 Jul
mirage14–16-0.076%20 Jul
overpass6–130.0215%19 Jul
nuke13–8-0.0214%19 Jul
inferno13–60.0221%18 Jul
nuke5–13-0.0819%18 Jul
inferno7–10.0315%18 Jul
inferno13–90.0012%18 Jul
ancient11–13-0.0022%17 Jul
overpass13–160.009%17 Jul
ancient13–8-0.0615%16 Jul
dust28–13-0.036%16 Jul
overpass13–110.0415%16 Jul
mirage13–110.018%16 Jul
dust213–50.0222%16 Jul
dust26–13-0.0119%16 Jul
vertigo12–12-0.0627%15 Jul
office9–130.0236%15 Jul
dust213–10-0.0515%14 Jul
dust213–90.0216%14 Jul
dust23–13-0.0123%14 Jul
mirage13–7-0.0412%14 Jul
nuke13–4-0.0410%13 Jul
mirage13–70.0427%13 Jul
dust215–150.0221%13 Jul
mirage13–50.0817%13 Jul
nuke13–60.0416%13 Jul
anubis9–13-0.0223%10 Jul
nuke7–130.0417%10 Jul
ancient13–100.0310%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 →