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slipknwt — CS2 Stats

76561198146805706[U:1:186539978]

299Tracked matches40%Win rate2021Tracked since
310Hours in CS
CSDB Rating3.4 Learning
Premier CS Rating5,388Light Blue band · top ~76.9% of ranked players (population est.)
CSDB Leaderboard#31680 of 41480 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate37.9%39.7%41.4%3.6% short
Shot accuracy12.4%6.7%9.0%above
Kill/death ratio1.020.910.97above
Match win rate43.2%42.1%43.7%meets

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGslipknwtPREMIER5,388 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning45
Utility37

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateWLLWLLWLLL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim4.0
Aggression4.4
Utility3.7
Positioning4.5
Opening Duels0.3

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 73% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 729ms 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

Aim4.0
Positioning4.5
Utility3.7
Mechanics5.6
Opening Duels0.6
Win Impact1.7

Composite 3.4/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time728ms+98ms
first ⅓ avg 630ms → last ⅓ avg 728ms
Headshot accuracy12.3%+1.1%
first ⅓ avg 11.2% → last ⅓ avg 12.3%

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

0.11Best rating — inferno 10–13
13–2Biggest win — mirage
4Longest win streak
6–15In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 80% over 5infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%-0.02
dust2D217–1433%-0.02
infernoD165–1131%-0.01
nukeA159–660%-0.02
ancientB115–645%0.01
anubisS54–180%-0.01
cache—42–250%-0.00
overpass—42–250%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,533Lifetime kills
1.02K/D · Top 25% of Light Blue band
879Matches
43.2%Match win rate · Top 50% of Light Blue band
37.9%Headshot %
12.4%Shot accuracy · Top 50% of Light Blue band
1,443MVPs
310Hours (in match)
889Bombs planted
178Bombs defused

Most-used weapons

AK-472,896
M4A4 / M4A1-S2,403
AWP1,703
MP7812
Galil AR751
Glock-18707
P2000 / USP-S679
SSG 08443
Desert Eagle439
P90392

Lifetime map wins

1,233dust2
629inferno
543nuke
98train
51ar_shoots
43vertigo
43safehouse
40lake

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

Skill profile

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

12.2%Headshot accuracy
36.1%Accuracy (enemy spotted)
40.0%Spray accuracy
75.2%Counter-strafing
12.7°Preaim
729msReaction time
27.8%T opening success
34.5%CT opening success
0.46Enemies flashed / flash
7.4%Flash assists
7.57HE damage / grenade
5.09Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6946° — above the 12° mark we flag

    Aim Training →
  2. 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 12.1566% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 728.8718ms — above the 700ms mark we flag

    Aim Training →
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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0212%2 Aug →
mirage9–13-0.056%2 Aug →
mirage10–13-0.0415%31 Jul →
anubis13–5-0.0324%31 Jul →
mirage11–130.019%29 Jul →
ancient10–13-0.037%29 Jul →
nuke16–13-0.009%28 Jul →
cache4–13-0.0614%28 Jul →
dust28–13-0.0224%28 Jul →
dust24–130.0112%28 Jul →
mirage3–130.0111%28 Jul →
ancient8–13-0.068%27 Jul →
dust210–13-0.0221%27 Jul →
nuke13–4-0.087%27 Jul →
mirage13–6-0.0718%27 Jul →
ancient13–90.058%26 Jul →
mirage11–13-0.0112%26 Jul →
nuke10–13-0.119%26 Jul →
mirage13–20.0322%25 Jul →
dust213–80.0113%25 Jul →
anubis13–90.0216%25 Jul →
mirage6–130.036%25 Jul →
ancient6–13-0.026%25 Jul →
nuke6–130.0014%25 Jul →
dust213–50.1013%25 Jul →
dust213–8-0.068%25 Jul →
dust27–13-0.0210%24 Jul →
ancient13–90.0211%24 Jul →
inferno10–130.0211%24 Jul →
dust211–13-0.0113%23 Jul →
anubis13–11-0.0013%23 Jul →
cache13–9-0.058%23 Jul →
nuke2–130.0616%23 Jul →
dust28–13-0.0313%23 Jul →
inferno6–120.1113%23 Jul →
inferno13–10-0.008%22 Jul →
anubis11–13-0.0511%22 Jul →
nuke5–13-0.0613%22 Jul →
mirage16–140.0010%22 Jul →
dust213–10-0.0429%22 Jul →
cache13–11-0.027%21 Jul →
inferno6–130.0017%21 Jul →
mirage13–7-0.032%21 Jul →
mirage11–13-0.048%20 Jul →
cache5–70.1113%20 Jul →
dust211–13-0.096%23 Mar →
overpass5–13-0.059%21 Mar →
inferno6–13-0.0114%20 Mar →
dust214–16-0.0616%19 Mar →
inferno8–8-0.0616%15 Mar →
mirage13–90.0518%10 Mar →
overpass13–20.058%10 Mar →
dust215–150.0116%9 Mar →
nuke13–110.0213%5 Mar →
nuke13–10-0.0315%4 Mar →
ancient14–16-0.0414%3 Mar →
anubis13–60.0314%3 Mar →
mirage13–5-0.0111%1 Mar →
mirage7–13-0.058%30 Jan →
overpass8–13-0.0215%29 Jan →
inferno11–13-0.0617%28 Jan →
ancient12–40.0211%27 Jan →
nuke13–70.016%26 Jan →
inferno5–13-0.0616%26 Jan →
dust25–13-0.0114%25 Jan →
nuke13–9-0.0819%24 Jan →
dust213–100.029%24 Jan →
inferno11–13-0.0414%24 Jan →
ancient13–40.067%24 Jan →
dust29–13-0.0817%24 Jan →
mirage10–13-0.0612%23 Jan →
dust213–5-0.0415%23 Jan →
ancient9–13-0.0413%22 Jan →
mirage13–8-0.049%21 Jan →
mirage1–13-0.0911%21 Jan →
dust213–60.008%20 Jan →
nuke13–80.0115%19 Jan →
nuke13–4-0.0115%19 Jan →
inferno13–50.0511%18 Jan →
dust25–13-0.089%18 Jan →
overpass13–11-0.0215%16 Jan →
ancient13–80.0515%15 Jan →
mirage11–13-0.0315%15 Jan →
ancient11–130.0513%14 Jan →
nuke13–30.0817%14 Jan →
nuke1–3-0.070%13 Jan →
inferno10–130.1118%13 Jan →
dust27–13-0.047%13 Jan →
inferno16–14-0.0415%12 Jan →
mirage9–13-0.0811%11 Jan →
nuke10–130.053%10 Jan →
mirage13–80.019%9 Jan →
inferno9–5-0.078%8 Jan →
inferno9–30.015%8 Jan →
dust25–130.0413%8 Jan →
mirage9–13-0.025%8 Jan →
mirage11–13-0.0312%8 Jan →
mirage13–90.0615%7 Jan →
inferno8–13-0.0910%6 Jan →
inferno6–13-0.019%6 Jan →

Match data via Leetify.

Milestones

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

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