sneaky little bitch

sneaky little bitch — CS2 Stats

AT76561198295764491[U:1:335498763]Steam profile ↗✓ No bans

1,547Tracked matches25%Win rate2020Tracked since
CSDB Rating2.8 LearningClutch Specialist
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

+17Tracked matches · now 1,547
−16.7ppWin rate · 41.7% → 25.0%

Rating over time

29Days played since 2026-08-16

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim23
Positioning51
Utility16

0–100 skill scores via Leetify.

Recent form

COLD39–49–12Last 10039%Win rateLLLWLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −4.6pp headshot accuracy · +43ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 741ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 700ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 679ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.6 against its own average).

Aim2.3
Utility1.6
Positioning5.1
Opening Duels1.0
Clutch10.0

Limited utility dependenceReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 69% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 59% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.3
Positioning5.1
Utility1.6
Mechanics2.9
Opening Duels4.2
Win Impact0.0

Composite 2.8/10 (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+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time670ms+58ms
first ⅓ avg 612ms → last ⅓ avg 670ms
Headshot accuracy11.8%−1.1%
first ⅓ avg 12.9% → last ⅓ avg 11.8%

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.

Personal bests

0.21Best match rating · 9–3 · vertigo, 20 Sept →
33%Best headshot accuracy · 4–8 · rush_001, 24 Sept →
469msFastest reaction time · 13–9 · shelter, 30 Aug →
13–1Biggest win · italy, 4 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
5–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 71% over 7fachwerkWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC146–843%-0.04
dust2D112–918%-0.03
nukeC104–640%-0.03
mirageD103–730%-0.05
vertigoC83–538%-0.03
fachwerkD71–614%-0.04
anubisC73–443%-0.02
overpassS75–271%-0.01
cache—42–250%-0.02
italy—42–250%-0.02
office—31–233%-0.03
boulder—33–0100%-0.03
ancient—31–233%-0.04
shelter—32–167%-0.06
poseidon—20–20%-0.01
rush_001—10–10%-0.05
debris—10–10%-0.09
eldorado—10–10%-0.13
train—11–0100%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

5Matches
20%Win rate
0.44Avg K/D
59.0ADR
28%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.5613.0
Ancient10%0.204.0
Dust210%0.478.0

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.

11.8%Headshot accuracy
28.7%Accuracy (enemy spotted)
27.9%Spray accuracy
62.9%Counter-strafing
11.4°Preaim
644msReaction time
59.1%T opening success
34.2%CT opening success
0.31Enemies flashed / flash
1.1%Flash assists
4.33HE damage / grenade
1.55Flashes / 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 11.8106% — 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 0.3102 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.2452% — below the 40% mark we flag

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.008%3 Oct →
mirage12–16-0.039%3 Oct →
cache6–13-0.0113%2 Oct →
inferno9–50.0310%2 Oct →
nuke3–9-0.210%2 Oct →
mirage5–13-0.068%2 Oct →
fachwerk10–13-0.0413%30 Sept →
anubis8–13-0.0910%30 Sept →
mirage13–9-0.0412%28 Sept →
anubis11–13-0.0214%27 Sept →
cache11–13-0.0312%27 Sept →
inferno11–13-0.0313%27 Sept →
dust28–13-0.058%26 Sept →
mirage13–10-0.0117%26 Sept →
nuke13–10-0.037%26 Sept →
overpass13–90.0119%25 Sept →
vertigo10–13-0.025%24 Sept →
rush_0014–8-0.0533%24 Sept →
office13–10-0.0226%23 Sept →
mirage7–13-0.054%20 Sept →
inferno8–13-0.0712%20 Sept →
dust212–12-0.0219%20 Sept →
poseidon7–9-0.0211%20 Sept →
inferno8–8-0.1513%20 Sept →
vertigo9–30.213%20 Sept →
nuke9–00.1519%20 Sept →
debris5–9-0.0914%20 Sept →
dust24–130.0115%20 Sept →
inferno7–13-0.064%19 Sept →
nuke1–13-0.076%17 Sept →
dust213–110.0111%17 Sept →
dust29–13-0.070%17 Sept →
dust213–70.0021%17 Sept →
overpass9–7-0.0611%17 Sept →
fachwerk10–13-0.069%16 Sept →
vertigo12–12-0.0213%16 Sept →
dust29–13-0.0410%16 Sept →
fachwerk7–13-0.0521%15 Sept →
nuke7–13-0.0111%15 Sept →
dust210–13-0.0114%10 Sept →
inferno7–13-0.0619%10 Sept →
anubis12–120.0315%7 Sept →
boulder13–20.016%7 Sept →
nuke13–7-0.048%7 Sept →
inferno13–6-0.039%6 Sept →
mirage12–120.018%6 Sept →
italy13–11-0.0532%6 Sept →
cache13–8-0.048%6 Sept →
inferno13–6-0.0511%6 Sept →
nuke15–15-0.048%6 Sept →
anubis13–60.028%6 Sept →
mirage10–13-0.057%6 Sept →
office12–12-0.0124%5 Sept →
fachwerk13–40.045%5 Sept →
boulder13–11-0.0913%5 Sept →
ancient12–12-0.0711%5 Sept →
anubis13–3-0.0711%5 Sept →
overpass11–13-0.0423%5 Sept →
shelter13–10-0.0610%5 Sept →
vertigo13–6-0.0511%5 Sept →
overpass12–120.0023%4 Sept →
vertigo10–13-0.0711%4 Sept →
italy13–10.030%4 Sept →
overpass13–4-0.0813%2 Sept →
anubis10–13-0.018%2 Sept →
dust27–13-0.066%1 Sept →
inferno3–9-0.1326%1 Sept →
poseidon8–8-0.0011%1 Sept →
eldorado3–9-0.1320%1 Sept →
inferno9–20.138%1 Sept →
dust26–13-0.0614%31 Aug →
fachwerk4–13-0.0311%31 Aug →
shelter7–13-0.0614%31 Aug →
vertigo13–11-0.0912%31 Aug →
ancient6–13-0.0612%31 Aug →
overpass13–40.069%30 Aug →
shelter13–9-0.0613%30 Aug →
boulder13–8-0.009%30 Aug →
cache13–5-0.0015%29 Aug →
inferno6–13-0.1223%29 Aug →
nuke7–9-0.1318%29 Aug →
vertigo8–8-0.0814%29 Aug →
inferno9–50.1227%29 Aug →
italy10–13-0.016%27 Aug →
inferno8–13-0.047%27 Aug →
mirage5–13-0.0415%27 Aug →
nuke7–40.0913%27 Aug →
fachwerk11–13-0.077%24 Aug →
vertigo5–13-0.100%24 Aug →
inferno13–10-0.0615%24 Aug →
italy10–13-0.0414%24 Aug →
mirage9–13-0.0917%24 Aug →
mirage13–10-0.0823%23 Aug →
office12–12-0.0616%23 Aug →
ancient13–70.029%23 Aug →
fachwerk8–13-0.1011%23 Aug →
overpass13–50.0315%18 Aug →
dust28–13-0.0415%18 Aug →
anubis13–6-0.019%16 Aug →
train13–90.008%16 Aug →

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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