Gracie M1 Abrams

Gracie M1 Abrams — CS2 Stats

US76561198125224076[U:1:164958348]Steam profile ↗✓ No bans

1,269Tracked matches65%Win rate2020Tracked since
CSDB Rating5.7 SolidClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGracie M1 AbramsFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning54
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY49429Last 10049%Win rateWWWLLWLWLL

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

Player DNA

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

Aim6.5
Aggression5.8
Utility3.1
Positioning5.4
Opening Duels1.6
Clutch10.0

Reliable 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 83% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; 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.

Reaction time. 615ms 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

Aim6.5
Positioning5.4
Utility3.1
Mechanics6.8
Opening Duels1.6
Win Impact10.0

Composite 5.7/10 (Solid), 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 time617ms+36ms
first ⅓ avg 581ms → last ⅓ avg 617ms
Headshot accuracy19.4%−1.4%
first ⅓ avg 20.8% → 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

0.18Best rating — cache 13–3
131Biggest win — office
6Longest win streak
W3Current streak
44In matches decided by ≤2 rounds
7Overtime games

Map breakdown

officeBest map · 63% over 49mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
officeA49311863%0.02
dust2D1551033%0.04
mirageD103730%-0.02
nukeA95456%0.01
cache41325%0.06
inferno31233%-0.10
anubis3030%-0.04
vertigo31233%0.01
train1010%0.02
overpass110100%0.08
poseidon1010%0.03
alpine110100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

100Matches
47%Win rate
0.87Avg K/D
91.1ADR
36%Headshot %

Clutches & streaks

100%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo520%0.9215.4
Inferno367%1.1615.3
Mirage333%0.7812.7
Ancient1100%1.6213.0
Anubis1100%1.7017.0

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.

20.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.3%Spray accuracy
80.5%Counter-strafing
9.9°Preaim
615msReaction time
35.2%T opening success
37.7%CT opening success
0.39Enemies flashed / flash
4.7%Flash assists
6.58HE damage / grenade
6.25Flashes / 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. 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 0.3922 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 35.24% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–70.0317%24 Aug
dust213–6-0.0116%24 Aug
office13–9-0.0521%21 Aug
dust27–13-0.0212%19 Aug
mirage13–16-0.0316%19 Aug
office13–80.0327%14 Aug
office5–13-0.0216%14 Aug
office13–6-0.0316%11 Aug
train4–130.0221%8 Aug
office9–13-0.0331%7 Aug
dust28–130.1625%7 Aug
inferno2–9-0.1916%3 Aug
office13–70.0413%3 Aug
office13–8-0.0413%2 Aug
anubis4–13-0.0413%30 Jul
office13–90.0321%21 Jul
office13–90.0626%21 Jul
office13–50.0223%19 Jul
office13–70.0122%14 Jul
office12–120.0619%14 Jul
office13–50.0924%2 Jul
cache3–13-0.0722%1 Jul
dust215–150.0318%30 Jun
office13–70.0928%29 Jun
dust213–7-0.0217%28 Jun
cache6–130.1013%27 Jun
dust213–50.0616%27 Jun
cache12–120.0228%26 Jun
office13–9-0.0326%26 Jun
dust213–20.1628%26 Jun
office12–120.0420%24 Jun
office2–5-0.090%24 Jun
inferno16–14-0.0318%24 Jun
nuke13–100.0512%24 Jun
mirage8–13-0.0224%24 Jun
anubis13–16-0.0516%23 Jun
office9–13-0.0213%19 Jun
anubis15–15-0.0216%17 Jun
cache13–30.1821%17 Jun
office13–110.0315%10 Jun
office13–100.0623%9 Jun
office10–40.0915%8 Jun
vertigo13–70.0615%8 Jun
office13–60.0625%2 Jun
nuke12–160.0723%29 May
dust213–70.0823%28 May
overpass6–40.0817%28 May
office13–50.1021%25 May
dust26–130.1120%21 May
dust25–130.0112%21 May
nuke6–130.016%20 May
office8–130.0814%19 May
office13–1-0.0218%19 May
dust29–130.0313%11 May
mirage14–16-0.0715%9 May
dust28–130.0116%6 May
nuke9–13-0.0115%6 May
mirage9–130.0113%2 May
office13–60.0742%2 May
office13–80.1226%27 Apr
nuke13–100.0133%24 Apr
office7–13-0.0314%24 Apr
office9–130.0522%12 Apr
vertigo12–120.0213%11 Apr
vertigo9–13-0.056%11 Apr
nuke13–5-0.0121%6 Apr
office13–1-0.0433%6 Apr
office12–12-0.1025%6 Apr
dust24–13-0.0616%6 Apr
office6–13-0.0318%6 Apr
office9–13-0.0324%4 Apr
office11–130.0139%1 Apr
office10–13-0.0035%1 Apr
office13–5-0.0138%31 Mar
mirage13–10-0.0229%27 Mar
nuke13–4-0.0113%27 Mar
office11–130.0213%20 Mar
office7–10.1329%20 Mar
office13–70.0612%18 Mar
mirage8–13-0.0431%17 Mar
poseidon8–80.0318%17 Mar
inferno5–9-0.076%17 Mar
office6–13-0.068%16 Mar
office13–80.0412%15 Mar
office13–7-0.0019%13 Mar
mirage13–11-0.0415%13 Mar
office12–120.1225%12 Mar
office13–90.0740%12 Mar
office13–6-0.0225%12 Mar
office1–30.1813%12 Mar
nuke7–13-0.0328%7 Mar
mirage13–5-0.0419%6 Mar
mirage6–13-0.017%4 Mar
dust28–130.0617%4 Mar
dust210–13-0.0618%4 Mar
office13–7-0.0613%3 Mar
office13–50.0619%2 Mar
mirage7–130.0328%1 Mar
office13–9-0.0122%27 Feb
alpine13–70.0314%27 Feb

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 →