The Niggler — CS2 Stats

76561198993345759[U:1:1033080031]

427Tracked matches57%Win rate2024Tracked since
693Hours in CS9Hrs last 2 wks
CSDB Rating3.5 Learning
Ladder ranks via Leetify

Performance scores

Aim29
Positioning37
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY47449Last 10047%Win rateLLWLWWWLLL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim2.9
Aggression2.2
Utility4.4
Positioning3.7
Opening Duels0.0
Clutch0.0

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 628ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.9
Positioning3.7
Utility4.4
Mechanics3.2
Opening Duels0.0
Win Impact7.4

Composite 3.5/10 (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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time626ms−93ms
first ⅓ avg 718ms → last ⅓ avg 626ms
Headshot accuracy9.7%−1.5%
first ⅓ avg 11.2% → last ⅓ avg 9.7%

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

0.14Best rating — inferno 13–4
131Biggest win — anubis
7Longest win streak
L2Current streak
51In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
officeA25141156%-0.01
dust2D1851328%-0.03
cacheA116555%-0.01
infernoA106460%-0.00
nukeA74357%-0.00
mirageD71614%-0.03
anubisS65183%-0.01
ancient41325%0.01
vertigo41325%-0.07
fachwerk31233%-0.02
train220100%0.05
shelter1010%0.03
boulder110100%0.00
overpass1010%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,596Lifetime kills
0.89K/D
1,295Matches
40.3%Match win rate
37.9%Headshot %
1.1%Shot accuracy
1,706MVPs
429Hours (in match)
928Bombs planted
164Bombs defused

Most-used weapons

Lifetime map wins

2,634dust2
840office
819nuke
783vertigo
717inferno
387train
59italy
9ar_shoots

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

Faceit stats

Combat

5Matches
40%Win rate
0.52Avg K/D
64.6ADR
42%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%0.5611.3
Inferno10%0.7613.0
Anubis10%0.152.0

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.

9.9%Headshot accuracy
28.9%Accuracy (enemy spotted)
31.2%Spray accuracy
64.5%Counter-strafing
10.3°Preaim
628msReaction time
23.9%T opening success
23.9%CT opening success
0.72Enemies flashed / flash
2.9%Flash assists
8.91HE damage / grenade
5.54Flashes / 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. 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 9.8719% — below the 15% mark we flag

    Aim Training
  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 23.8542% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–130.0314%28 Aug
nuke6–13-0.029%28 Aug
train13–40.066%28 Aug
dust28–130.0317%23 Aug
inferno13–9-0.0313%23 Aug
office13–110.019%19 Aug
train13–80.049%19 Aug
dust28–13-0.0419%18 Aug
dust28–13-0.0210%16 Aug
office10–13-0.0517%15 Aug
dust27–13-0.0414%15 Aug
inferno9–2-0.0416%15 Aug
mirage13–10-0.0618%15 Aug
dust212–12-0.0414%15 Aug
inferno4–13-0.048%11 Aug
dust213–6-0.079%11 Aug
dust24–13-0.130%5 Aug
anubis13–10.052%2 Aug
cache6–130.025%2 Aug
dust212–12-0.046%2 Aug
dust213–10-0.023%1 Aug
nuke13–20.1211%31 Jul
office13–6-0.078%31 Jul
office7–10.105%28 Jul
anubis13–5-0.029%28 Jul
office13–90.037%26 Jul
office13–9-0.0611%26 Jul
office9–13-0.076%23 Jul
nuke11–13-0.065%21 Jul
ancient13–70.0713%21 Jul
nuke13–7-0.0212%20 Jul
inferno9–13-0.045%19 Jul
ancient4–13-0.0211%19 Jul
office13–9-0.038%19 Jul
office12–12-0.045%18 Jul
dust213–4-0.014%18 Jul
nuke13–30.056%18 Jul
inferno4–9-0.097%18 Jul
cache13–4-0.0111%17 Jul
fachwerk10–13-0.025%17 Jul
office8–13-0.0414%14 Jul
shelter12–120.0312%12 Jul
fachwerk3–13-0.0510%11 Jul
fachwerk13–10.0214%9 Jul
boulder13–110.0018%9 Jul
office6–130.045%9 Jul
mirage12–120.0113%5 Jul
office13–30.1014%4 Jul
cache13–40.1115%4 Jul
office13–80.0113%4 Jul
office13–30.0623%3 Jul
dust26–13-0.0510%3 Jul
office12–12-0.014%27 Jun
mirage9–13-0.0512%27 Jun
cache1–13-0.0815%18 Jun
dust210–13-0.0113%18 Jun
inferno13–11-0.0317%15 Jun
ancient9–13-0.025%15 Jun
overpass10–13-0.0713%15 Jun
inferno13–40.0215%14 Jun
dust213–7-0.0126%13 Jun
cache9–13-0.0410%13 Jun
inferno4–13-0.0020%11 Jun
cache9–13-0.106%9 Jun
vertigo8–13-0.124%9 Jun
office7–13-0.089%8 Jun
anubis13–3-0.032%8 Jun
inferno9–40.106%8 Jun
cache13–100.0612%23 May
office13–5-0.0213%22 May
vertigo3–13-0.1019%20 May
dust28–13-0.0613%16 May
office13–5-0.0714%15 May
office13–9-0.017%14 May
office13–11-0.0314%14 May
office10–130.017%13 May
office12–12-0.026%13 May
office3–13-0.055%13 May
dust25–130.0618%13 May
anubis7–13-0.0510%12 May
mirage10–13-0.0712%12 May
dust26–13-0.0612%12 May
office8–13-0.0614%12 May
mirage8–13-0.069%11 May
vertigo6–13-0.0713%11 May
dust213–6-0.018%10 May
anubis13–7-0.027%10 May
mirage12–12-0.0711%10 May
nuke13–7-0.0518%10 May
office13–70.0013%9 May
ancient6–130.0114%9 May
cache12–12-0.0011%7 May
cache13–4-0.047%7 May
nuke6–13-0.0514%4 May
cache13–50.0216%4 May
cache13–8-0.059%3 May
anubis15–120.026%3 May
mirage6–130.0918%3 May
inferno13–40.147%3 May
vertigo13–11-0.008%3 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →