assman

assman — CS2 Stats

76561197980449598[U:1:20183870]Steam profile ↗✓ No bans

1,090Tracked matches33%Win rate2023Tracked since
CSDB Rating2.1 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGassmanFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim8
Positioning49
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY315811Last 10031%Win rateWLWLLLWLWW

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Aim0.8
Aggression5.7
Utility4.1
Positioning4.9
Opening Duels1.9
Clutch2.6

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 74% 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

T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.8
Positioning4.9
Utility4.1
Mechanics0.5
Opening Duels2.0
Win Impact0.0

Composite 2.1/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time634ms−47ms
first ⅓ avg 681ms → last ⅓ avg 634ms
Headshot accuracy7.5%−1.7%
first ⅓ avg 9.1% → last ⅓ avg 7.5%

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

0.26Best rating — inferno 9–2
131Biggest win — dust2
3Longest win streak
36In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 43% over 7mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD2992031%-0.01
nukeD2581732%-0.05
cacheD93633%-0.05
vertigoD71614%-0.01
dust2C73443%-0.02
mirageD5050%-0.06
ancient41325%-0.00
anubis41325%-0.01
overpass31233%-0.04
office2020%-0.05
train21150%-0.04
poseidon220100%0.08
italy110100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches
31%Win rate
0.49Avg K/D
53.1ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%0.508.3
Vertigo633%0.548.3
Dust2425%0.447.0
Nuke425%0.488.3
Inferno20%0.345.0
Ancient20%0.386.5
Anubis250%0.689.0

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.

7.7%Headshot accuracy
30.5%Accuracy (enemy spotted)
29.1%Spray accuracy
52.2%Counter-strafing
16.2°Preaim
642msReaction time
29.6%T opening success
45.8%CT opening success
0.58Enemies flashed / flash
8.0%Flash assists
8.42HE damage / grenade
3.81Flashes / 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 16.1945° — 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 7.6531% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

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

    Flashes per match 3.8063 — below the 4 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–7-0.079%27 Aug
nuke3–9-0.154%25 Aug
vertigo9–00.163%14 Aug
inferno1–9-0.130%13 Aug
nuke3–9-0.0714%8 Aug
nuke6–9-0.170%5 Aug
inferno9–6-0.048%5 Aug
office6–13-0.069%3 Aug
italy13–8-0.017%3 Aug
train13–4-0.002%3 Aug
ancient13–40.032%3 Aug
vertigo8–13-0.075%3 Aug
office9–13-0.055%3 Aug
mirage2–13-0.073%1 Aug
inferno7–13-0.029%30 Jul
inferno9–7-0.0013%28 Jul
ancient9–130.015%26 Jul
mirage2–13-0.114%26 Jul
nuke13–80.006%25 Jul
dust212–120.0517%25 Jul
inferno9–70.038%25 Jul
nuke9–20.108%25 Jul
mirage15–15-0.0213%22 Jul
nuke8–80.057%22 Jul
inferno9–20.266%21 Jul
overpass6–9-0.1015%19 Jul
dust213–10.0010%18 Jul
cache1–13-0.067%17 Jul
inferno13–16-0.0110%13 Jul
cache5–130.0016%13 Jul
inferno4–13-0.066%13 Jul
nuke13–70.058%11 Jul
vertigo7–9-0.0810%10 Jul
poseidon9–60.0820%10 Jul
ancient12–12-0.036%8 Jul
dust213–4-0.094%8 Jul
train10–13-0.085%8 Jul
mirage1–13-0.073%8 Jul
nuke2–9-0.090%7 Jul
inferno9–60.0925%7 Jul
nuke11–13-0.074%4 Jul
anubis7–13-0.037%4 Jul
inferno4–9-0.0717%4 Jul
dust25–13-0.0713%2 Jul
dust212–16-0.0410%2 Jul
inferno5–9-0.0025%2 Jul
nuke8–8-0.169%2 Jul
inferno6–9-0.1312%1 Jul
inferno5–9-0.093%29 Jun
inferno3–9-0.1138%29 Jun
nuke9–10.1320%27 Jun
nuke5–9-0.0712%27 Jun
nuke5–9-0.164%27 Jun
nuke2–9-0.210%27 Jun
inferno5–9-0.1214%27 Jun
dust213–5-0.016%22 Jun
inferno7–90.0216%22 Jun
nuke9–50.0115%20 Jun
nuke2–9-0.257%18 Jun
nuke6–9-0.036%16 Jun
inferno8–8-0.007%14 Jun
mirage10–13-0.0411%14 Jun
overpass13–60.048%13 Jun
inferno4–130.0119%12 Jun
inferno9–20.1720%12 Jun
vertigo6–90.077%4 Jun
inferno6–9-0.089%25 May
nuke6–9-0.095%21 May
nuke10–13-0.0417%21 May
anubis6–130.018%21 May
vertigo8–8-0.015%19 May
inferno11–13-0.016%17 May
vertigo4–9-0.052%17 May
nuke9–5-0.000%17 May
inferno5–90.056%17 May
inferno9–30.0513%16 May
inferno9–50.098%16 May
inferno4–9-0.1811%13 May
nuke8–8-0.0415%6 May
vertigo3–9-0.123%6 May
nuke7–9-0.083%3 May
inferno6–9-0.0922%3 May
cache7–13-0.096%30 Apr
cache13–10-0.0114%30 Apr
cache12–12-0.0913%30 Apr
cache12–12-0.046%29 Apr
cache13–10-0.037%29 Apr
cache13–6-0.079%29 Apr
cache3–13-0.044%29 Apr
nuke5–90.2517%24 Apr
dust213–16-0.0110%22 Apr
anubis10–13-0.018%22 Apr
poseidon9–20.0724%19 Apr
inferno9–30.119%19 Apr
anubis13–70.017%17 Apr
overpass11–13-0.072%17 Apr
inferno8–80.049%16 Apr
ancient5–13-0.0113%15 Apr
nuke13–7-0.0113%15 Apr
inferno6–9-0.007%8 Apr

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 →