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Dr_Stingy — CS2 Stats

76561197963253727[U:1:2987999]✓ No bans

2,647Tracked matches44%Win rate2021Tracked since
CSDB Rating3.9 LearningPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim60
Positioning46
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY36–57–7Last 10036%Win rateLWWLWWWTLW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.0
Aggression3.4
Utility1.8
Positioning4.6
Opening Duels1.2
Clutch3.0

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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.

T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim6.0
Positioning4.6
Utility1.8
Mechanics5.5
Opening Duels1.6
Win Impact3.1

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time646ms−7ms
first ⅓ avg 652ms → last ⅓ avg 646ms
Headshot accuracy11.7%−0.1%
first ⅓ avg 11.9% → last ⅓ avg 11.7%

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

0.09Best rating — cache 1–7
13–0Biggest win — cache
3Longest win streak
4–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 50% over 8infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
cacheC198–1142%-0.01
infernoD143–1121%-0.03
dust2C146–843%-0.03
anubisD103–730%-0.02
nukeB84–450%-0.03
wardenD82–625%-0.03
ancientD72–529%-0.00
overpass—42–250%0.00
mirage—41–325%-0.05
vertigo—32–167%-0.03
office—31–233%-0.02
fachwerk—21–150%-0.04
train—20–20%-0.06
italy—11–0100%-0.05
boulder—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

474Matches
48%Win rate
0.88Avg K/D
68.6ADR
35%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis8348%0.9513.9
Mirage7352%0.8513.1
Nuke6252%0.8313.1
Ancient4947%0.9814.7
Dust23749%0.8412.8
Inferno3741%0.8312.9
Overpass2564%1.0014.6
Vertigo1436%0.8412.7

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.

12.0%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.8%Spray accuracy
74.8%Counter-strafing
9.9°Preaim
630msReaction time
27.4%T opening success
42.5%CT opening success
0.28Enemies flashed / flash
5.4%Flash assists
7.17HE damage / grenade
2.76Flashes / 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 11.9727% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2789 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 27.399% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
fachwerk3–13-0.085%28 Aug →
overpass13–80.0010%28 Aug →
vertigo13–6-0.078%28 Aug →
cache10–13-0.0511%25 Aug →
anubis13–10.0212%25 Aug →
cache13–50.0513%25 Aug →
italy13–10-0.057%23 Aug →
train12–12-0.056%23 Aug →
boulder3–13-0.048%23 Aug →
fachwerk13–8-0.0136%23 Aug →
inferno9–130.0116%15 Aug →
dust213–7-0.0314%15 Aug →
cache10–13-0.038%15 Aug →
nuke13–30.0712%15 Aug →
anubis8–13-0.0117%15 Aug →
nuke3–13-0.0824%14 Aug →
anubis10–13-0.0412%12 Aug →
vertigo12–120.0514%11 Aug →
train12–12-0.068%11 Aug →
inferno13–10-0.0017%10 Aug →
ancient13–10-0.005%10 Aug →
office13–80.032%8 Aug →
overpass11–13-0.0112%8 Aug →
inferno4–13-0.0411%1 Aug →
ancient9–13-0.056%1 Aug →
inferno13–16-0.077%31 Jul →
anubis6–13-0.0217%29 Jul →
nuke13–30.0215%28 Jul →
dust212–16-0.0217%28 Jul →
anubis0–13-0.0313%28 Jul →
inferno11–13-0.048%10 Jul →
nuke13–11-0.077%10 Jul →
overpass7–13-0.089%10 Jul →
cache13–20.010%9 Jul →
nuke12–16-0.0410%9 Jul →
anubis9–13-0.0111%8 Jul →
ancient9–13-0.0213%8 Jul →
inferno3–13-0.066%8 Jul →
cache6–13-0.019%8 Jul →
dust27–13-0.093%1 Jul →
mirage3–13-0.1013%1 Jul →
cache2–13-0.100%30 Jun →
dust212–120.0019%30 Jun →
inferno13–9-0.0718%27 Jun →
anubis13–8-0.037%27 Jun →
dust21–13-0.0310%27 Jun →
office5–13-0.037%27 Jun →
inferno12–12-0.0614%27 Jun →
dust27–13-0.0314%26 Jun →
mirage13–10-0.0014%26 Jun →
ancient11–13-0.0011%26 Jun →
nuke9–13-0.0525%26 Jun →
overpass13–20.0918%25 Jun →
dust23–13-0.029%25 Jun →
warden12–12-0.069%25 Jun →
ancient6–13-0.0011%23 Jun →
inferno6–13-0.027%23 Jun →
nuke8–13-0.0211%23 Jun →
dust213–8-0.0126%23 Jun →
dust216–14-0.0511%22 Jun →
mirage13–16-0.1012%22 Jun →
anubis13–8-0.0011%22 Jun →
anubis6–13-0.077%20 Jun →
nuke13–9-0.072%20 Jun →
ancient11–130.0212%20 Jun →
inferno13–70.008%20 Jun →
office7–13-0.0612%19 Jun →
vertigo13–3-0.076%19 Jun →
inferno11–130.0819%19 Jun →
dust25–13-0.0318%17 Jun →
ancient13–110.0415%17 Jun →
cache13–10-0.0315%17 Jun →
cache4–13-0.0216%13 Jun →
warden13–5-0.016%13 Jun →
inferno3–13-0.0812%7 Jun →
warden3–13-0.0611%4 Jun →
cache8–13-0.0524%2 Jun →
warden7–13-0.029%1 Jun →
cache1–70.0910%1 Jun →
dust213–10-0.0213%1 Jun →
cache9–13-0.079%31 May →
cache13–7-0.047%31 May →
dust26–13-0.0617%23 May →
warden10–13-0.0710%23 May →
warden6–13-0.017%22 May →
cache13–00.0313%22 May →
warden12–120.016%20 May →
cache13–30.058%20 May →
dust213–8-0.045%20 May →
inferno4–130.0111%16 May →
inferno4–9-0.048%16 May →
mirage3–13-0.0215%16 May →
anubis11–130.0112%16 May →
cache1–13-0.0425%15 May →
warden13–70.0311%15 May →
dust213–80.0512%15 May →
cache9–130.0213%15 May →
cache8–13-0.089%11 May →
cache13–11-0.0310%11 May →
cache13–60.0113%10 May →

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 →

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