bahley_

bahley_ — CS2 Stats

US76561199148572377[U:1:1188306649]Steam profile ↗✓ No bans

755Tracked matches34%Win rate2024Tracked since
434Hours in CS
CSDB Rating2.4 Learning
Premier CS Rating3,638Grey band · top ~84.6% of ranked players (population est.)
CSDB Leaderboard#15321 of 19795 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGbahley_FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER3,638 · Grey bandcsdb.gg/stats

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Performance scores

Aim33
Positioning35
Utility18

0–100 skill scores via Leetify.

Recent form

COLD46486Last 10046%Win rateLLLLLLLWWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim3.3
Aggression4.6
Utility1.8
Positioning3.5
Opening Duels0.2
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 70% playstyle similarity

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

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. 673ms 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

Aim3.3
Positioning3.5
Utility1.8
Mechanics4.5
Opening Duels0.6
Win Impact0.0

Composite 2.4/10 (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-0.05+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time668ms−48ms
first ⅓ avg 717ms → last ⅓ avg 668ms
Headshot accuracy9.9%−1.7%
first ⅓ avg 11.6% → last ⅓ avg 9.9%

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

0.05Best rating — dust2 4–13
132Biggest win — train
4Longest win streak
L7Current streak
89In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 69% over 13mirageWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
trainC1661038%-0.05
mirageD1441029%-0.05
nukeD1441029%-0.05
dust2B147750%-0.04
infernoS139469%-0.02
overpassA95456%-0.04
ancientB84450%-0.04
office41325%-0.03
vertigo42250%-0.02
edin220100%-0.04
anubis110100%-0.06
basalt110100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,613Lifetime kills
0.81K/D
1,244Matches
46.0%Match win rate
33.2%Headshot %
0.4%Shot accuracy
1,891MVPs
434Hours (in match)
1,015Bombs planted
178Bombs defused

Most-used weapons

Lifetime map wins

1,558inferno
1,542nuke
1,093vertigo
992dust2
622office
179train
154italy
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
0.53Avg K/D
85.7ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.549.5
Overpass1100%0.406.0
Nuke10%0.448.0
Anubis10%0.7512.0

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.

10.4%Headshot accuracy
32.1%Accuracy (enemy spotted)
39.7%Spray accuracy
70.3%Counter-strafing
12.8°Preaim
673msReaction time
34.7%T opening success
27.2%CT opening success
0.32Enemies flashed / flash
1.5%Flash assists
5.25HE damage / grenade
2.64Flashes / 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 12.7685° — 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 10.4201% — below the 15% mark we flag

    Aim Training
  3. 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 0.3166 — below the 0.5 mark we flag

    Grenade Lineups
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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0310%23 Apr
nuke7–13-0.0412%12 Jan
nuke4–13-0.145%11 Jan
office6–13-0.040%11 Jan
dust21–13-0.100%10 Jan
dust28–13-0.0614%10 Jan
overpass11–13-0.057%9 Jan
dust27–60.020%8 Jan
dust213–7-0.0415%8 Jan
nuke11–130.014%8 Jan
mirage6–13-0.048%8 Jan
train1–13-0.1122%8 Jan
nuke7–13-0.068%7 Jan
overpass13–10-0.0410%7 Jan
inferno15–150.0117%7 Jan
ancient4–10-0.025%7 Jan
mirage11–13-0.073%7 Jan
dust213–6-0.023%7 Jan
ancient13–6-0.0313%7 Jan
ancient13–60.0125%7 Jan
inferno6–13-0.057%7 Jan
vertigo13–8-0.0319%6 Jan
mirage10–13-0.0319%6 Jan
train3–13-0.0633%5 Jan
train7–13-0.018%27 Sept
nuke6–13-0.0712%27 Sept
ancient6–13-0.0213%26 Sept
dust216–14-0.046%25 Sept
inferno13–9-0.0311%25 Sept
dust213–11-0.043%25 Sept
overpass13–6-0.085%25 Sept
inferno0–13-0.090%24 Sept
overpass13–8-0.107%24 Sept
nuke12–160.000%23 Sept
train13–7-0.027%23 Sept
mirage13–11-0.043%23 Sept
nuke1–12-0.0610%23 Sept
dust26–13-0.017%23 Sept
mirage13–6-0.0511%23 Sept
dust24–130.0510%23 Sept
dust213–10-0.0711%23 Sept
mirage13–11-0.058%23 Sept
nuke13–60.005%22 Sept
overpass13–100.0312%22 Sept
inferno11–13-0.069%22 Sept
mirage7–13-0.0120%22 Sept
ancient5–13-0.053%22 Sept
dust213–7-0.0238%22 Sept
ancient10–6-0.0431%22 Sept
dust210–13-0.0317%22 Sept
inferno16–14-0.017%22 Sept
dust215–15-0.0424%19 Sept
ancient13–10-0.043%19 Sept
inferno13–9-0.0121%19 Sept
ancient9–13-0.104%19 Sept
nuke7–13-0.095%19 Sept
overpass11–13-0.0410%18 Sept
inferno13–50.016%18 Sept
inferno13–30.0121%18 Sept
inferno13–8-0.058%17 Sept
inferno13–50.037%17 Sept
mirage7–13-0.0614%17 Sept
inferno13–60.039%17 Sept
nuke15–15-0.0520%17 Sept
mirage4–13-0.0520%9 Sept
mirage11–13-0.047%8 Sept
overpass13–50.0113%8 Sept
office11–13-0.090%5 Sept
vertigo11–13-0.0311%5 Sept
train2–13-0.0314%4 Sept
mirage6–13-0.086%4 Sept
nuke13–8-0.0213%4 Sept
dust211–13-0.1122%28 Aug
train13–11-0.0420%27 Aug
overpass13–16-0.0218%26 Aug
mirage10–13-0.0813%22 Aug
nuke13–5-0.066%21 Aug
vertigo13–100.0019%21 Aug
office12–60.044%21 Aug
nuke6–13-0.0813%21 Aug
mirage13–7-0.040%21 Aug
office3–8-0.050%12 Jan
anubis13–8-0.065%4 Dec
nuke13–10-0.0820%4 Dec
train0–5-0.098%4 Dec
edin13–8-0.0610%2 Dec
train13–2-0.009%2 Dec
edin13–10-0.0121%24 Nov
vertigo12–12-0.0421%22 Nov
train12–12-0.027%22 Nov
train6–13-0.1313%22 Nov
overpass10–13-0.1114%21 Nov
train12–12-0.034%20 Nov
train13–10-0.0520%19 Nov
train6–13-0.105%19 Nov
inferno13–11-0.047%16 Nov
basalt13–4-0.0411%15 Nov
train13–7-0.0111%15 Nov
train13–3-0.0617%15 Nov
train6–13-0.0918%15 Nov

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 →