Manwich — CS2 Stats

76561198117639883[U:1:157374155]

572Tracked matches52%Win rate2020Tracked since
CSDB Rating3.6 Learning
Ladder ranks via Leetify

Performance scores

Aim34
Positioning41
Utility37

0–100 skill scores via Leetify.

Recent form

COLD46486Last 10046%Win rateLLTLTLWTWW

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Aim3.4
Aggression1.5
Utility3.7
Positioning4.1
Opening Duels0.0

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 68% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 625ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.4
Positioning4.1
Utility3.7
Mechanics4.1
Opening Duels0.0
Win Impact5.6

Composite 3.6/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time624ms−34ms
first ⅓ avg 658ms → last ⅓ avg 624ms
Headshot accuracy17.5%+2.1%
first ⅓ avg 15.4% → last ⅓ avg 17.5%

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

0.15Best rating — cache 6–13
132Biggest win — inferno
5Longest win streak
L2Current streak
105In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 70% over 10trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoS1812667%-0.03
ancientC167944%-0.03
cacheB147750%-0.01
anubisC104640%-0.05
mirageD103730%-0.04
overpassS107370%-0.02
trainD61517%-0.05
nukeD61517%-0.04
dust2D62433%-0.04
vertigo42250%-0.05

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.3%Headshot accuracy
26.2%Accuracy (enemy spotted)
25.4%Spray accuracy
68.3%Counter-strafing
10.0°Preaim
625msReaction time
30.2%T opening success
21.8%CT opening success
0.39Enemies flashed / flash
5.9%Flash assists
7.27HE damage / grenade
6.15Flashes / 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 0.3871 — 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 30.2035% — below the 40% mark we flag

Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.077%22 Aug
anubis11–13-0.0819%22 Aug
train12–12-0.0818%28 Jun
mirage11–13-0.0427%28 Jun
nuke12–12-0.0813%28 Jun
mirage10–13-0.058%26 Jun
ancient16–13-0.0413%24 Jun
dust215–15-0.0322%23 Jun
dust213–8-0.0136%21 Jun
mirage13–9-0.0418%21 Jun
inferno13–2-0.0311%20 Jun
overpass7–13-0.0328%18 May
overpass13–110.0210%18 May
anubis8–13-0.079%18 May
anubis13–8-0.096%17 May
anubis13–9-0.0223%16 May
cache13–80.0118%16 May
ancient8–13-0.0223%16 May
inferno13–50.0426%16 May
ancient13–7-0.0312%16 May
anubis13–5-0.0220%16 May
inferno3–13-0.1013%15 May
dust213–100.0128%15 May
cache13–60.0729%11 May
inferno5–13-0.0223%11 May
anubis11–13-0.0322%11 May
inferno3–13-0.0312%10 May
mirage8–13-0.0322%10 May
cache13–80.0210%10 May
cache6–13-0.0222%8 May
cache4–13-0.104%8 May
mirage16–140.0313%7 May
cache13–11-0.0314%3 May
cache7–13-0.0718%3 May
cache13–9-0.0423%29 Apr
cache13–10-0.0315%29 Apr
cache13–100.0416%29 Apr
cache12–12-0.0613%28 Apr
cache11–13-0.0212%28 Apr
cache3–13-0.0022%28 Apr
ancient9–13-0.109%25 Apr
anubis5–13-0.0317%25 Apr
inferno7–13-0.0428%17 Apr
vertigo13–3-0.070%17 Apr
overpass16–130.0513%11 Apr
nuke9–13-0.0614%11 Apr
mirage5–13-0.0820%4 Apr
vertigo7–13-0.0719%4 Apr
ancient11–130.0220%3 Apr
nuke6–13-0.0715%3 Apr
overpass13–8-0.107%3 Apr
anubis3–13-0.0927%2 Apr
overpass13–20.0418%29 Mar
inferno13–7-0.0121%28 Mar
dust24–13-0.0612%25 Mar
ancient10–13-0.117%24 Mar
mirage13–11-0.0112%20 Mar
anubis4–13-0.0914%20 Mar
nuke13–10-0.0421%7 Mar
inferno13–110.0220%7 Mar
anubis13–9-0.0414%21 Feb
inferno13–11-0.0123%15 Nov
inferno9–2-0.0835%13 Nov
nuke8–130.0220%12 Nov
ancient12–120.0211%12 Nov
train8–13-0.0214%8 Nov
inferno13–60.0520%8 Nov
ancient9–13-0.0511%8 Nov
mirage2–13-0.0813%8 Nov
vertigo6–13-0.0219%8 Nov
inferno13–11-0.0220%7 Nov
ancient13–4-0.0211%7 Nov
inferno8–13-0.0910%6 Nov
cache6–130.1520%1 Nov
ancient13–40.0026%30 Oct
ancient7–13-0.0811%25 Oct
ancient13–40.1414%25 Oct
overpass4–2-0.050%25 Oct
mirage4–13-0.0523%25 Oct
dust26–13-0.0717%25 Oct
overpass13–7-0.0413%25 Oct
overpass7–13-0.0326%24 Oct
ancient13–110.0216%24 Oct
inferno13–2-0.0317%24 Oct
inferno7–13-0.0620%24 Oct
train9–13-0.0623%23 Oct
nuke7–13-0.049%23 Oct
vertigo13–5-0.022%23 Oct
mirage15–15-0.0324%22 Oct
inferno13–10-0.0314%22 Oct
ancient13–9-0.0821%22 Oct
train10–13-0.087%21 Oct
overpass13–5-0.0220%21 Oct
train13–10-0.0419%21 Oct
ancient8–13-0.057%19 Oct
inferno13–11-0.0025%19 Oct
inferno13–10-0.0619%18 Oct
dust27–13-0.0814%18 Oct
overpass7–13-0.0710%18 Oct
train8–130.008%18 Oct

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 →