Nymann — CS2 Stats

76561197987976480[U:1:27710752]

1,419Tracked matches54%Win rate2020Tracked since
CSDB Rating6.6 SolidAggressive Rifler
FaceitLevel 10 · 2,435 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGNymannFACEITLevel 10 · 2,435 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning64
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53452Last 10053%Win rateLWLLWWLWWW

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression8.4
Utility5.3
Positioning6.4
Opening Duels3.7
Clutch3.8

Limited utility dependence

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 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 602ms 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

Aim8.3
Positioning6.4
Utility5.3
Mechanics7.1
Opening Duels3.7
Win Impact6.2

Composite 6.6/10 (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 0.02 → last ⅓ avg 0.01
Reaction time600ms+6ms
first ⅓ avg 594ms → last ⅓ avg 600ms
Headshot accuracy24.7%+3.3%
first ⅓ avg 21.4% → last ⅓ avg 24.7%

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

0.19Best rating — train 13–11
130Biggest win — anubis
8Longest win streak
1310In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 71% over 7infernoWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
ancientA2011955%0.02
infernoC1981142%0.02
nukeB1991047%0.02
trainA127558%0.01
anubisC94544%0.02
overpassS75271%0.02
mirage43175%0.04
dust243175%0.00
cache31233%0.00
cache_b110100%0.03
vertigo1010%-0.00
mutiny110100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,953Matches
53%Win rate
1.10Avg K/D
79.3ADR
54%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient11550%1.0616.6
Nuke11258%1.1015.4
Anubis8957%1.0515.7
Inferno7251%1.1016.7
Vertigo3863%1.1116.0
Train2966%1.2217.0
Dust22638%0.9215.0
Overpass2458%1.0814.4

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.

24.5%Headshot accuracy
38.4%Accuracy (enemy spotted)
40.8%Spray accuracy
82.1%Counter-strafing
10.3°Preaim
602msReaction time
37.9%T opening success
51.8%CT opening success
0.60Enemies flashed / flash
10.4%Flash assists
7.90HE damage / grenade
4.63Flashes / 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 37.8537% — 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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0325%4 Aug
inferno13–1-0.0214%4 Aug
ancient7–13-0.0325%1 Jun
ancient5–13-0.0428%11 May
cache13–10-0.0419%1 May
nuke13–60.0637%20 Mar
inferno2–130.0053%16 Mar
overpass13–60.0315%28 Feb
mirage13–110.0216%10 Feb
cache_b16–140.0326%8 Feb
inferno13–160.0231%8 Feb
overpass16–13-0.0120%27 Jan
anubis11–13-0.0311%21 Jan
nuke13–60.1025%21 Jan
inferno13–20.1531%8 Jan
nuke7–130.0038%8 Jan
inferno9–13-0.0334%5 Jan
nuke13–20.0531%5 Jan
inferno12–120.1323%5 Jan
train13–7-0.045%4 Jan
nuke13–100.0821%3 Jan
overpass13–10.0621%3 Jan
ancient19–150.0324%3 Jan
inferno15–150.0225%29 Dec
mirage10–13-0.0521%18 Dec
train13–90.0230%29 Nov
overpass11–130.0118%29 Nov
ancient8–130.0439%29 Nov
overpass8–13-0.0421%21 Aug
train4–13-0.0121%21 Aug
ancient13–70.0220%21 Aug
inferno5–13-0.0926%21 Aug
ancient13–11-0.0123%21 Aug
ancient13–30.1034%21 Aug
train4–13-0.1030%20 Aug
nuke4–13-0.0713%20 Aug
nuke13–20.0723%20 Aug
overpass13–50.0018%20 Aug
ancient13–50.0412%17 Jul
train13–9-0.0522%6 Jul
ancient8–130.0428%6 Jul
nuke4–13-0.0625%4 Jul
inferno13–100.0233%4 Jul
nuke8–13-0.0113%27 Jun
inferno13–70.0333%8 Jun
anubis11–130.0727%8 Jun
vertigo11–13-0.0029%6 Jun
mutiny13–60.1028%6 Jun
overpass13–30.0542%6 Jun
cache10–130.0724%6 Jun
inferno10–13-0.0236%26 May
dust211–13-0.0224%26 May
dust213–90.0122%26 May
train11–130.0922%26 May
dust213–11-0.0130%22 May
nuke13–60.1143%20 May
nuke13–60.0224%20 May
inferno22–20-0.0218%20 May
inferno13–110.0529%20 May
train13–50.0222%20 May
dust213–110.0321%16 May
anubis13–80.0233%16 May
train13–160.0319%16 May
inferno11–130.0438%9 May
ancient3–130.0121%9 May
mirage13–100.0634%9 May
ancient13–50.0716%9 May
anubis4–13-0.0527%9 May
nuke7–13-0.0421%9 May
inferno28–260.0220%6 May
nuke14–16-0.0616%2 May
ancient18–22-0.0216%2 May
ancient13–50.0529%2 May
train13–110.0022%1 May
train13–90.0123%1 May
anubis11–130.0222%1 May
nuke7–130.0124%1 May
ancient13–10-0.0230%1 May
nuke13–70.0719%1 May
anubis9–130.0129%27 Apr
mirage13–50.1212%27 Apr
inferno7–130.0417%23 Apr
nuke6–130.0033%22 Apr
nuke11–13-0.0119%15 Apr
anubis13–11-0.0310%15 Apr
train10–13-0.0126%15 Apr
ancient7–13-0.0128%6 Apr
inferno9–13-0.0416%4 Apr
inferno1–13-0.063%4 Apr
ancient8–13-0.0315%4 Apr
ancient13–110.0128%4 Apr
nuke4–13-0.0426%3 Apr
anubis13–50.1022%1 Apr
anubis13–00.0723%1 Apr
ancient1–13-0.0028%1 Apr
inferno13–80.0616%1 Apr
ancient13–110.0024%28 Mar
ancient13–40.1924%28 Mar
train13–110.1922%28 Mar
nuke13–60.0619%28 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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