Sac

Sac — CS2 Stats

US76561198234685336[U:1:274419608]Steam profile ↗

833Tracked matches55%Win rate2023Tracked since
1,154Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingClutch Specialist
Premier CS Rating16,315Purple band · top ~23.2% of ranked players (population est.)
CSDB Leaderboard#12532 of 20981 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGSacFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,315 · Purple bandcsdb.gg/stats

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Performance scores

Aim52
Positioning55
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLLWWWWLWLW

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

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim5.2
Aggression7.3
Utility5.1
Positioning5.5
Opening Duels3.1
Clutch10.0

Strong CT-side openerReliable 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

b1t

Plays most like b1t 87% playstyle similarity

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

Where you differ: 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

T-side openings. Opening success drops from 51% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim5.2
Positioning5.5
Utility5.1
Mechanics5.6
Opening Duels3.1
Win Impact6.7

Composite 5.2/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time597ms−60ms
first ⅓ avg 657ms → last ⅓ avg 597ms
Headshot accuracy11.5%−0.6%
first ⅓ avg 12.1% → last ⅓ avg 11.5%

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

0.21Best rating — cache 13–2
132Biggest win — anubis
5Longest win streak
L2Current streak
69In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 60% over 5cacheWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientC25111444%0.00
nukeB20101050%0.01
anubisB1910953%0.01
cacheD1551033%0.01
overpassB84450%-0.01
mirageA53260%0.02
dust232167%-0.02
vertigo2020%-0.01
office2020%0.03
inferno1010%-0.07

Across the last 100 tracked matches.

Lifetime stats

28,299Lifetime kills
1.11K/D · Top 50% of tracked players
1,780Matches
43.8%Match win rate
39.4%Headshot %
1.1%Shot accuracy
4,078MVPs
693Hours (in match)
2,013Bombs planted
522Bombs defused

Most-used weapons

Lifetime map wins

3,281nuke
2,242vertigo
1,325inferno
1,288dust2
1,249office
439train
315italy
29stmarc

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

Faceit stats

Combat

19Matches
63%Win rate
1.34Avg K/D
83.1ADR
41%Headshot %

Clutches & streaks

70%1v1 clutch win
44%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke771%1.8514.1
Ancient367%1.1215.7
Train367%0.8412.7
Mirage2100%0.9818.5
Anubis250%1.5324.0
Vertigo10%1.0014.0
Dust210%0.7112.0

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.

11.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
37.9%Spray accuracy
75.0%Counter-strafing
12.2°Preaim
596msReaction time
33.5%T opening success
51.1%CT opening success
0.51Enemies flashed / flash
2.3%Flash assists
9.71HE damage / grenade
8.51Flashes / 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 12.1752° — above the 12° mark we flag

    Aim Training
  2. 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 11.6406% — below the 15% mark we flag

    Aim Training
Spend your practice time on Cache

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis14–160.0311%16 Aug
cache7–130.0115%13 Aug
anubis13–20.0216%13 Aug
ancient13–20.0817%13 Aug
dust213–110.0619%13 Aug
cache13–80.045%8 Aug
anubis13–16-0.0211%8 Aug
nuke13–6-0.0412%8 Aug
ancient6–13-0.085%7 Aug
nuke13–110.028%30 Jul
anubis13–60.0810%30 Jul
ancient13–7-0.0015%30 Jul
anubis15–150.046%29 Jul
nuke13–10-0.0412%29 Jul
cache13–30.0211%28 Jul
ancient13–20.0114%28 Jul
mirage13–40.0213%25 Jul
ancient13–9-0.0016%25 Jul
ancient11–13-0.0616%25 Jul
cache7–13-0.0013%25 Jul
cache6–13-0.0120%25 Jul
anubis13–90.0413%25 Jul
ancient14–160.057%25 Jul
anubis10–13-0.014%25 Jul
mirage6–130.0112%24 Jul
anubis13–50.0514%24 Jul
ancient8–13-0.0311%24 Jul
nuke13–20.0513%24 Jul
ancient7–130.0217%24 Jul
mirage10–13-0.014%22 Jul
vertigo3–13-0.048%21 Jul
ancient14–160.0210%21 Jul
cache10–13-0.063%20 Jul
anubis13–7-0.035%18 Jul
nuke13–40.0226%13 Jul
anubis16–130.004%12 Jul
mirage13–80.0713%12 Jul
mirage13–11-0.0013%12 Jul
anubis3–13-0.0417%11 Jul
nuke13–100.0115%11 Jul
nuke13–80.0813%11 Jul
nuke13–9-0.016%10 Jul
nuke7–130.038%10 Jul
cache10–130.0119%10 Jul
dust28–13-0.0619%10 Jul
cache13–60.0615%10 Jul
nuke12–160.016%9 Jul
cache9–130.0019%9 Jul
cache6–13-0.0514%9 Jul
ancient13–80.0116%9 Jul
cache13–20.2116%8 Jul
ancient13–10-0.009%28 Jun
ancient13–7-0.0112%28 Jun
overpass13–60.149%25 Jun
nuke11–13-0.0219%25 Jun
dust213–11-0.0520%24 Jun
nuke10–13-0.0212%24 Jun
nuke11–13-0.037%21 Jun
anubis13–70.0410%20 Jun
ancient15–15-0.072%20 Jun
anubis13–60.003%20 Jun
overpass13–50.0216%18 Jun
anubis9–13-0.0113%17 Jun
anubis15–15-0.0315%17 Jun
ancient15–150.049%16 Jun
ancient8–13-0.0418%15 Jun
overpass13–7-0.0014%15 Jun
anubis5–130.0414%14 Jun
inferno2–13-0.0713%14 Jun
nuke13–16-0.0014%13 Jun
overpass5–13-0.025%13 Jun
ancient13–90.0026%12 Jun
ancient13–7-0.0020%11 Jun
overpass2–13-0.086%10 Jun
nuke13–110.0120%10 Jun
vertigo8–130.0313%9 Jun
office8–13-0.0418%9 Jun
nuke13–40.0525%9 Jun
overpass13–4-0.0114%7 Jun
nuke8–130.1019%6 Jun
office10–130.1112%31 May
cache5–13-0.008%31 May
ancient5–13-0.022%30 May
anubis13–90.0314%30 May
overpass5–13-0.066%30 May
overpass5–13-0.0511%27 May
nuke4–130.0112%27 May
cache9–13-0.033%27 May
nuke11–13-0.0112%26 May
anubis13–10-0.017%26 May
nuke11–13-0.0110%26 May
ancient10–130.037%25 May
ancient5–13-0.0113%25 May
cache13–30.0821%25 May
ancient16–140.015%25 May
ancient16–12-0.008%25 May
anubis7–13-0.078%25 May
ancient8–130.0413%25 May
cache3–13-0.059%25 May
ancient14–160.0314%24 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 →