Slawdawg — CS2 Stats

76561198329224711[U:1:368958983]✓ No bans

554Tracked matches57%Win rate2025Tracked since
CSDB Rating3.4 Learning
Premier CS Rating6,565Light Blue band · top ~71.3% of ranked players (population est.)
CSDB Leaderboard#15798 of 20796 tracked
Ladder ranks via Leetify

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CSDB.GGSlawdawgPREMIER6,565 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning42
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateWLLLWWWLWL

Last 10 vs previous 10: -30pp win rate · -0.07 avg rating

Player DNA

Aim3.7
Aggression0.9
Utility4.2
Positioning4.2
Opening Duels0.0

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: positioning profile, 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. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.7
Positioning4.2
Utility4.2
Mechanics3.5
Opening Duels0.0
Win Impact7.2

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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time635ms−9ms
first ⅓ avg 644ms → last ⅓ avg 635ms
Headshot accuracy14.2%−2.3%
first ⅓ avg 16.5% → last ⅓ avg 14.2%

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

0.17Best rating — anubis 13–1
130Biggest win — cache
7Longest win streak
46In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 63% over 8nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB21111052%-0.03
dust2C1981142%-0.04
infernoB189950%-0.01
cacheA127558%-0.03
nukeD93633%-0.03
anubisA85363%0.00
ancientA74357%-0.03
overpass32167%-0.04
train21150%-0.09
vertigo110100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.0%Headshot accuracy
28.9%Accuracy (enemy spotted)
33.7%Spray accuracy
65.6%Counter-strafing
10.7°Preaim
621msReaction time
19.4%T opening success
19.8%CT opening success
0.56Enemies flashed / flash
2.9%Flash assists
5.27HE damage / grenade
8.45Flashes / 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 19.3874% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–00.0124%27 Aug
dust24–13-0.1022%27 Aug
cache2–13-0.108%27 Aug
mirage7–13-0.0916%27 Aug
overpass13–6-0.0911%24 Aug
mirage13–30.0126%24 Aug
anubis13–7-0.0916%24 Aug
ancient7–13-0.084%24 Aug
dust213–11-0.0530%24 Aug
ancient9–13-0.0216%23 Aug
nuke13–16-0.0116%23 Aug
cache13–5-0.055%23 Aug
inferno6–13-0.018%23 Aug
mirage13–110.0215%23 Aug
dust213–100.0128%23 Aug
ancient13–8-0.0112%22 Aug
anubis13–40.0924%22 Aug
inferno13–70.0411%22 Aug
ancient13–30.0321%22 Aug
nuke13–80.049%22 Aug
inferno11–13-0.0414%22 Aug
inferno7–13-0.075%22 Aug
dust22–13-0.149%21 Aug
inferno11–13-0.0224%21 Aug
anubis8–13-0.0526%21 Aug
cache6–2-0.070%21 Aug
inferno5–13-0.0511%21 Aug
ancient13–10-0.103%21 Aug
inferno13–11-0.0613%21 Aug
mirage9–2-0.027%21 Aug
nuke7–13-0.0911%20 Aug
inferno12–120.019%20 Aug
cache6–00.0413%20 Aug
inferno13–90.0216%17 Aug
train13–9-0.0714%17 Aug
anubis13–60.0417%17 Aug
cache11–13-0.0122%17 Aug
overpass13–3-0.0116%17 Aug
vertigo6–20.0314%17 Aug
mirage13–8-0.0313%17 Aug
dust213–3-0.0214%17 Aug
dust25–130.0112%17 Aug
cache13–10-0.0311%17 Aug
inferno9–13-0.0113%16 Aug
mirage13–8-0.022%16 Aug
ancient13–160.0110%15 Aug
mirage8–13-0.0317%15 Aug
inferno13–6-0.0121%15 Aug
nuke13–50.0221%15 Aug
inferno13–60.1222%15 Aug
dust22–13-0.0910%15 Aug
dust28–130.0315%15 Aug
mirage13–9-0.0316%15 Aug
cache3–13-0.0524%14 Aug
mirage7–13-0.0710%13 Aug
dust27–13-0.1032%13 Aug
train8–13-0.1022%13 Aug
anubis5–13-0.045%13 Aug
mirage13–10-0.0313%13 Aug
anubis10–13-0.0817%13 Aug
mirage9–13-0.0519%11 Aug
nuke14–16-0.0816%19 Jul
dust24–13-0.1111%19 Jul
mirage16–14-0.0619%19 Jul
cache13–7-0.0417%19 Jul
mirage8–13-0.0514%19 Jul
cache12–12-0.0220%5 Jul
mirage8–13-0.0621%3 Jul
cache13–50.0811%3 Jul
mirage6–13-0.0612%3 Jul
dust24–13-0.085%3 Jul
dust211–13-0.0530%29 Jun
mirage13–9-0.077%29 Jun
nuke10–13-0.1011%28 Jun
inferno13–9-0.0221%28 Jun
mirage13–10-0.0713%28 Jun
anubis13–8-0.019%28 Jun
anubis13–10.1710%28 Jun
dust213–6-0.0126%28 Jun
dust213–9-0.0021%28 Jun
mirage13–00.029%28 Jun
nuke8–13-0.0414%28 Jun
inferno16–130.0117%28 Jun
ancient13–7-0.0519%28 Jun
dust213–50.0512%28 Jun
inferno13–10-0.0412%27 Jun
inferno10–130.0215%27 Jun
dust22–13-0.1015%27 Jun
nuke13–60.0115%3 May
dust213–3-0.0219%3 May
cache9–13-0.0920%3 May
inferno13–5-0.0324%3 May
mirage8–13-0.0221%26 Apr
mirage6–130.049%18 Apr
inferno11–13-0.0216%18 Apr
dust24–13-0.0531%18 Apr
overpass4–13-0.0221%18 Apr
mirage12–120.0311%18 Apr
dust213–8-0.0029%12 Apr
nuke10–13-0.0319%12 Apr

Match data via Leetify.

Recent teammates

Milestones

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